Formerly Monster

Are you a data professional deeply interested in the current race in AI? Come join us! We are looking for a Data Scientist storyteller to support the IDEAS Data Science team. As translators and advisors, we help communicate the “What if” of what IDEAS Data Science has created as a “single source of truth” by connecting the quantified metrics to the executive action required for business e.g. competitive imperative given market share across a variety of metrics. We use a wide combination of data sources (1P, 3P, public, surveys, panels, etc) and science models to produce our estimates. As a business facing team, interest and ability to connect product and strategy hypotheses back to data and qualitative factors is central to the role. AI is a big focus, both as a competitive space (e.g. Copilot, ChatGPT, Gemini, Claude, etc) and because we are actively integrating AI into our daily workflows.

Join over 150 data scientists on the broader horizontal IDEAs team where data science, engineering, and PM work together to support multiple business and product verticals at scale! In this role you will both support stakeholders directly and work with the broader IDEAs team to scale your solutions across Microsoft.

We play a crucial role in supporting Microsoft 365 and the Experiences + Devices group (E+D), both of which are central to the Company's mission to empower individuals and organizations to achieve more. Our objective is to foster a data-informed culture by equipping the Experiences + Devices group with actionable insights to guide their decisions. This initiative represents a significant opportunity to deliver impactful information that will improve operational efficiency, drive empowerment, and support Microsoft’s success in the evolving AI landscape.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Be a translator and Advisor: Business Understanding and able to leverage consulting skills to communicate the “What if” that can influence outcomes.
• Primary role is to be a “force multiplier” of the data science work and connect the metrics and data findings to what actions business needs to make.
• Describes the primary objectives of the team from a business perspective. Collaborates with internal cross-functional stakeholders to understand business needs.
• Produces a project plan to specify necessary steps required for completion. Assesses current situation for resources, risks, contingencies, requirements, assumptions, and constraints.
• Engages business stakeholders to capture and shape their thinking on data-driven methods. Leads customer conversations to understand, define, and solve business problems. Influences stakeholders by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics.
• Data Preparation and Understanding. Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates to senior leads. Develops useable data sets for modeling purposes. Contributes to ethics and privacy policies related to collecting and preparing data by providing updates and suggestions around internal best practices. Contributes to data integrity/cleanliness conversations with customers.
• Coding and Debugging. Being able to code and debug is useful but not essential. Understands the causes of common defects and uses best practices in preventing them from occurring. Collaborates with other teams and leverages best practices from those teams into work of their own team.
• Customer/Partner Orientation. Applies a customer-oriented focus by understanding customer needs and perspectives. Builds trust with customers by leveraging interpretability and knowledge of Microsoft products and solutions. Helps drive realistic customer expectations, including information about the limitations of their data.
• Industry and Research Knowledge / Opportunity Identification. Uses business knowledge and technical expertise to provide feedback to the engineering team to identify potential future business opportunities. Develops an understanding of work being done across teams to propose potential collaboration efforts. Coaches and provides support to execute strategy. Leverages capabilities within existing systems.
• Modeling and Statistical Analysis. Breaks down complex statistics and machine learning topics into manageable topics to explain to executives / customers.

Qualifications Required Qualifications:

• 7+ years experience in data science, research, marketing or business-related roles
  • OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 6+ years experience in data science, research, marketing or business-related roles
  • OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 4+ years experience in data science, research, marketing or business-related roles.
• 5+ years of hands-on research experience including designing and executing complex data-storytelling projects from start to finish.

Other Requirements Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position must pass the Microsoft Cloud background check upon hire/transfer and every 2 years thereafter.

Preferred Qualifications

• 5+ years of Consulting experience, or 6+ years of significant corporate strategy experience or 9+ years of experience in data science, research, marketing or business-related roles
  • OR Bachelor's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 8+ years experience in data science, research, marketing or business-related roles
  • OR Master's Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 7+ years experience in data science, research, marketing or business-related roles.
  • OR Doctorate Degree in Business, Marketing, Economics, Social Sciences, Statistics, or related field AND 5+ years experience in data science, research, marketing or business-related roles
• 5+ years experience working with decision makers to define need and scope research to answer questions.
• 5+ years creating content that conveys a simple, clear message.

#DPG

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for at least 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Wpromote is hiring a Junior Data Scientist who loves solving problems with data and has strong math, logic, and communication skills. In this role, you’ll support data processing, model updates, and analytics reporting while learning advanced techniques that will grow your impact over time. You’ll collaborate with teams across Engineering, Reporting, Product, Paid Media, and Data Science, working with exciting clients in e-commerce, retail, and entertainment. If you’re detail-oriented, eager to learn, and ready to turn data into meaningful insights, we want to hear from you!

At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.

We offer:

• Half-day Fridays year round
• Unlimited PTO
• Extended Holiday break (Winter)
• Flexible schedules
• Work from anywhere options*
• 100% paid parental leave
• 401(k) matching
• Medical, Dental, Vision, Life, Pet Insurance
• Sponsored life insurance
• Short Term Disability insurance and additional voluntary insurance
• Annual Class Pass Credits and more!

The anticipated annual salary for this role will range from $88,000 - $100,000, based on a variety of factors unique to each candidate, including skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and the respective state’s salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget. The total compensation package for this role will include benefits (listed above).

• This position may be performed remotely in most states within the US, with some exclusions
• While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!
• This position is not eligible for immigration sponsorship

Important Notice: Beware of Job Scams

Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.

You Will Be

• Learning to transform, improve, and integrate data according to business requirements
• Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative tests and solutions
• Using SQL and BigQuery to combine and prepare datasets from multiple sources
• Delivering data in a clear, useful, and visually appealing way to both technical and non-technical audiences
• Maintaining existing media-mix models through directed retrains and reporting on performance changes
• Organizing and collecting results from media-mix models, incrementality tests, clean rooms, and related analyses to support Wpromote’s culture of learning
• Conducting guided marketing analyses to support client and internal needs
• Supporting presentations through data pulls, ad-hoc analyses, and slide creation
• Learning to automate data gathering, blending, and transformation processes
• Collaborating across Engineering, Reporting, Product, Paid Media, and Data Science teams to understand and support client needs

You Must Have

• Intermediate programming skills in R or Python for data cleaning, data modeling, pipeline development, API calls, and related tasks
• Experience with statistical modeling, machine learning techniques, and LLMs
• Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging
• Advanced proficiency in Excel and/or Google Sheets
• Experience with at least one BI platform (Looker, Tableau, Power BI, etc.) with the ability to learn others; Looker preferred
• Experience or familiarity with version control tools such as Git or Bitbucket
• Strong organizational skills with the ability to balance competing client requests and work with complex datasets while maintaining accuracy and meeting deadlines
• Intermediate to advanced competency in statistics, probability, and linear algebra
• Strong communication skills, including experience creating and delivering presentations and executive summaries
• Demonstrated critical thinking skills—the ability to analyze numbers, trends, and data to form meaningful insights
• Interest or passion for marketing analytics and/or a personal project portfolio
• Associate’s degree, bootcamp certification, or practical work experience in a quantitative field (Statistics, Mathematics, Computer Science, Information Technology, Economics, Engineering, etc.)

Nice To Have

• Bachelor’s degree or higher in a quantitative field
• Exposure to marketing analyses such as media-mix models (MMM), incrementality testing, CAC, and lead scoring
• Experience with analytics software, such as Google Analytics and Adobe Analytics
• Familiarity with clean room environments (FBAA, AMC, Google ADH)
• Experience with cloud computing (AWS, GCP, Azure, etc.)

Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.

From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.

Grow a Career. Build a Future!

Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

Job Purpose

We are currently seeking an experienced Manufacturing Engineer to join our team in Grand Island, NE.

Key Responsibilities

• Develops, designs and plans equipment and machine layouts, workflow, and safety precautions to maximize utilization of plant and manufacturing facilities.
• Evaluates worker productivity and recommends improvements to increase manpower efficiency and operating performance, reduce waste and delays, and promote cost control/reductions.
• Develops metrics to measure plant and equipment capacity output, and identify equipment and process flow bottlenecks.
• Establishes accident prevention measures, and lans and schedules training programs for personnel concerning all phases of production operation and ensures compliance with established industry safety and design standards and guidelines.
• Determines facility specifications, including analysis and evaluation of location, material resources, and structural design.
• Resolves technical problems and recommends production improvement.
• Other related duties as assigned.
  

Preferred Qualifications

• A Bachelor's degree in a relevant discipline.
• A minimum of 3 years of relevant experience.
• Minimum 3 years’ experience designing in a CAD system and with an Engineering Release Process.
  

Pay Transparency

The salary range for this position is $72,750 - $95,000 annually

(Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.)

What We Offer

We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect.

Benefits

At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including:

• Flexible work arrangements
• Savings & Retirement benefits
• Tuition reimbursement
• Parental leave
• Adoption assistance
• Fertility & Family building support
• Employee Assistance Programs
• Charitable contribution matching and Volunteer Time Off
  

Click here to learn more about our benefits offerings! (US only)

US applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Applicants can learn more about their rights by viewing the federal "Know Your Rights" poster here. CNH Industrial participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. You can view additional information here.

Canada applicants: CNH Industrial is an equal opportunity employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, nationality, place of origin, disability, marital status, family status, age, or any other ground prohibited by applicable provincial human rights legislation.

If you need reasonable accommodation with the application process, please contact us at narecruitingmailbox@cnhind.com.

Company Profile: The focus of the company is to improve the buying experience to provide a community forum to foster authentic conversations. The focus of this position will be to grow the community forum and help sell the saas.The company is an early-stage startup, currently in stealth mode. Goal for launch: Q3 2026. More details will be provided after an NDA has been signed.

Position Overview: Focus is on launching and gaining traction for a community platform:

• Help lead company initiatives to develop new User audiences
• Identify potential influencers to participate in launch.
• Help Prepare plan for product launch and pathway for first 1,000 Users and compliment the SAAS business
• Assist identifying communities and growing users
• Leverage other social media platforms to bring new users to our platform
• Identify Potential Users and create a feedback loop
• Develop metrics for success
• Brand positioning
• Market research competitive analysis
• Assist in preparation of pitch decks
• Participate in venture capital pitches
• Experience with graphic design or video editing tools (preferred but not required)

Compensation: Equity on a vesting schedule and salary upon successful raise of capital. The opportunity will be part-time before venture capital.

Position: Data Analytics Project Coordinator

Location: Fully Remote

Job Description: The PMO and Data Analytics Project Coordinator will support the DnA and PMO teams in collecting, analyzing, and reporting on project and operational project data. This role is ideal for candidates with strong analytical skills, a passion for data-driven insights, and an interest in healthcare operations. This person will gain hands-on experience with enterprise data tools and processes, contributing to real-world projects that impact organizational decision-making. Compensation: $60,000-$68,000/year. Exact compensation may vary based on several factors, including skills, experience, and education.

Key Responsibilities

• Gather, clean, and summarize data from multiple sources (including Jira and Athena).
• Create and maintain reports and dashboards (manual and/or in Excel; Power BI experience a plus).
• Follow up with data owners to resolve missing or incomplete data.
• Update source systems with edits as needed, ensuring data integrity.
• Support the export and analysis of Jira data to generate actionable insights.
• Assist with ad hoc data requests
• Participate in meetings, document processes, and contribute to team discussions.
• Maintain confidentiality and adhere to organizational data governance standards.

Required Skills & Experience

• Bachelors Degree
• Healthcare Industry Experience
• Strong analytical orientation and attention to detail
• Proficiency in Microsoft Excel and Power BI
• Ability to summarize and present data clearly

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

About The Team

Brand Design at Decagon shapes the visual identity of our company and helps define how we’re perceived by customers, partners, and the broader AI community. Our work turns sophisticated technology into clear, confident, and differentiated brand storytelling—across campaigns, content, web, and moments that shape perception.

We believe strong brands are built through taste, consistency, and conviction. We care deeply about craft, narrative, cohesion, and expanding the brand into new, exciting territories while building its core. Designers here grow by shipping work fast, operating with urgency, developing a strong point of view, and raising the bar together.

About The Role

This role sits at the heart of Decagon’s brand expression. As a mid-level Brand Designer, you’ll help shape how Decagon shows up in the world—how we tell our story, how we stand apart, and how our brand evolves as the company scales.

You’ll work on marketing-led brand initiatives that influence perception and drive growth, contributing to both foundational brand work and high-visibility moments. This role is ideal for a designer who is excited by storytelling, energized by momentum, and motivated by building a brand thoughtfully, not just executing individual assets.

You won’t be handed a perfectly defined box. Instead, you’ll help define the edges—learning where to push, where to refine, and how to maintain coherence as the brand expands.

In this role, you will

• Design high-quality brand assets across campaigns, web, sales materials, events, social, and internal storytelling.
• Help evolve and expand Decagon’s brand system—bringing consistency while pushing into new, differentiated expressions.
• Contribute to brand strategy and messaging, and translate that thinking into clear and compelling visuals.
• Bring systems thinking and attention to detail to developing layouts, concepts, and executions.
• Iterate quickly based on feedback, often across multiple workstreams, balancing speed with polish.
• Bring references, inspiration, and creative ideas that help Decagon stand out.
• Maintain consistency and quality across all brand touchpoints.
  

Your background looks something like this

• 4-6 years of experience in brand design, visual design, or marketing-focused creative roles.
• A portfolio that demonstrates strong visual taste, storytelling, and brand thinking.
• Proficient in Figma and Adobe Creative Suite, with a strong interest and curiosity in dabbling in AI design models and tools.
• Experience designing for marketing surfaces (web, campaigns, decks, events, content).
• Strong fundamentals in typography, layout, color, and hierarchy.
• Ability to interpret a brief and execute thoughtful, on-brand creative.
• Comfort working in high-velocity environments with evolving priorities.
• Interest in technology and AI-driven companies (prior AI experience not required).
  

Even better if you have

• You care deeply about balancing quality and details with on-time delivery of work.
• You’re curious, open to feedback from cross-functional teams, and eager to grow your point of view.
• You bring a low-ego, high-ownership mindset.
• You value clarity, momentum, and thoughtful execution
  

Benefits

• Medical, dental, and vision benefits
• Take what you need vacation policy
• Daily lunches, dinners and snacks in the office to keep you at your best
  

Compensation

$160,000 — $200,000 + Equity

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success.

As a Customer Service Representative, you will provide routine service support to PNC customers who initiate contact with the Customer Care Center. This may involve questions regarding products, online directions, and their accounts. You will communicate directly with customers, as well as internal and external service partners to effectively resolve issues, questions, and service requests.

Employees must provide the following additional requirements for success in a virtual role:

• Work Space – A dedicated and confidential work space which includes a door that can be closed for privacy.
• High speed internet – High speed internet service with a direct wired connection to a cable or fiber modem and router, capable of at least 20 mbps download and upload speeds. This connection must not be DSL, Satellite, dial up, Cellular, Microwave, Broadband Powerline (BPL), or any other ISP that is not cable or fiber. You must have wired connection in the room with the modem and router. Wireless internet is not permitted/supported
  

This position may be eligible for remote work in select geographic locations, subject to approval by PNC. If approved, work must be conducted from a quiet, secure, and confidential home-based workspace. Occasional in-office participation may be required based on business needs.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• Performs customer service activities and initiatives for a broad range of products, services and problem resolution that occurs across multiple channels for our customers. Delivers CARES model to customers and service partners.
• Receives, investigates and responds to customer inquiries regarding products, services and issues via all channels through which customers are served.
• Resolves customer service inquiries and issues. Recommends appropriate solutions. Refers complex or reoccurring issues.
• Maintains high levels of customer satisfaction consistent with PNC's core values. Demonstrates commitment to quality through customer and service partner interactions.
• Documents customer interactions and completes service requests to minimize customer effort or additional action.
  

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

• Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
• Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
  

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills

Accountability, Continual Improvement Process, Customer Interactions, Customer Service, Decision Making, Relationship Building, Results-Oriented, Technical Support

Competencies

Accuracy and Attention to Detail, Customer Experience Management., Decision Making and Critical Thinking, Effective Communications, Fraud Detection and Prevention, Knowledge of a Specific Customer Support Function, Managing Multiple Priorities, Problem Solving, Products and Services, Tech Savvy

Work Experience

Roles at this level typically do not require a university / college degree, high school diploma or GED, however may require related experience or product knowledge to accomplish primary duties. Typically <1 year of related experience. In lieu of a degree, a comparable combination of education, job specific certification(s) and experience (including military service) may be considered.

Education

No Degree

Certifications

No Required Certification(s)

Licenses

No Required License(s)

Pay Transparency

Base Salary: $26,000.00 – $55,200.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 01/13/2026, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

The Growth & Retention Analytics team is looking for a Data Analyst who will help to measure and take action to improve subscriber retention across a growing ecosystem of Disney’s streaming service offerings (Disney+, Hulu, and ESPN+). Our team masters exploratory data analysis, advanced reporting, data visualization and storytelling to deliver actionable insights and provide recommendations to drive business decision-making. This team collaborates cross-functionally across the Direct to Consumer organization as well as with stakeholders from business units across The Walt Disney Company to generate insightful, compelling, and strategic analyses. This role will build strong relationships and partner closely with Finance, Business Operations, Business Strategy, and other Analytics teams to ensure the business understands complex retention trends and implications for strategic decision making. The team’s work will drive the development of business and operational plans that are expected to have broad influence at all levels of the organization.

Responsibilities

• Communicate complex trends and churn drivers to a wide array of business stakeholders with varying technical expertise from operational teams to executive audiences, both in oral presentations and via written reports
• Partner closely with business stakeholders (Product, Business Operations, Finance, Marketing etc.) to identify and unlock opportunities for improved subscriber retention
• Create and maintain operational dashboards in Tableau and Looker to understand performance over time, enable efficient exploratory analysis, and equip partners with self-serve tools
• Translate complex business questions into SQL including proper cohorting, calculations, filtering criteria and/or aggregations
• Partner with Data Science teams to uplevel analyses using clustering/segmentation, regression modeling, and/or predictive modeling

Required Qualifications

• Bachelor’s degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field
• 3+ years of of hands-on analytical work experience with SQL driving strategic analysis to inform product or business decision making
• Strong analytical skills with the ability to apply business strategy to data analysis and recommendations
• Ability to think strategically, analyze and interpret first and third party information
• Experience manipulating large data sets and interpreting data trends using a multitude of disparate data sources and tools
• Expertise with data exploration and data visualization tools like Tableau or Looker
• Strong analytical and technical skills to troubleshoot issues, analyze the cause, quickly come-up with possible solutions, document the changes, and communicate organizational impact
• Strong experience in documenting the data requirements, data strategy, data rules (standardization, cleansing, and validation)

Desired Qualifications

• Experience in the streaming media industry and/or supporting a direct-to-consumer or subscription-based product
• Experience in the technology industry and knowledge of how to build and implement data products

#DISNEYTECH

#DisneyAnalytics

The hiring range for this position in Santa Monica, CA is $97,500 to $130,800 per year, and in New York City, NY is $102,100 to $137,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

We are excited to offer a comprehensive internship opportunity for students currently enrolled in a BSc or MSc program who are passionate about software engineering and eager to explore the full lifecycle of web application development. This internship is designed for individuals who want to gain hands-on, real-world experience building scalable, high-performance commercial web applications using modern technologies, tools, and industry practices.

As a Software Development Intern, you will work closely with senior software engineers, designers, and product managers to contribute to meaningful projects used by real customers worldwide. This is a unique opportunity to sharpen your coding skills, understand user-centered design principles, and learn how professional software is planned, built, tested, deployed, and maintained.

This internship will give you exposure to a collaborative, agile-driven work environment where your ideas are valued, your skills are nurtured, and you get the chance to grow as a future software professional.

Key Responsibilities

1. Web Application Development

• Assist in writing clean, maintainable, and efficient code for commercial web applications.
• Implement new features and functionalities under the guidance of senior developers.
• Learn and apply best practices in software development, including modular design, test-driven development, and version control.

2. Software Testing & Debugging

• Participate in the testing of web applications to identify bugs, inconsistencies, and performance issues.
• Perform debugging tasks and help improve the performance, stability, and scalability of existing software.
• Work with QA testers to ensure quality benchmarks are met.

3. Collaboration & Agile Development

• Participate in daily stand-ups, sprint planning sessions, retrospectives, and other Agile ceremonies.
• Work closely with designers, front-end developers, and product teams to understand project goals and requirements.
• Communicate progress clearly and regularly with the development team.

4. User-Centered Design & Interaction

• Apply principles of user-centered design to build intuitive and user-friendly application interfaces.
• Collaborate with the UI/UX team to understand user journey, accessibility, and interaction flows.
• Suggest improvements to enhance the overall user experience.

5. Research & Innovation

• Stay updated with emerging technologies, frameworks, and industry trends.
• Conduct research to support development tasks and propose new ideas to improve product features.
• Experiment with new tools, libraries, and workflows to enhance development efficiency.

6. Documentation

• Assist in maintaining clear, concise documentation for code, features, and technical processes.
• Support the preparation of user guides, feature descriptions, and internal technical documentation.

Requirements & Skills

Educational Qualifications

• Currently enrolled in a Bachelor’s (BSc) or Master’s (MSc) program in Computer Science, Information Technology, Software Engineering, or a related field.

Technical Skills

• Basic understanding of programming fundamentals and data structures.
• Knowledge of at least one object-oriented web framework (e.g., Django, Spring Boot, Laravel, Ruby on Rails).
• Familiarity with databases, APIs, and front-end technologies is an added advantage.
• Understanding of HTML, CSS, JavaScript, and at least one backend language is preferred.

Soft Skills

• Strong interest in commercial web application development and problem solving.
• Ability to work effectively as part of a team in an Agile environment.
• Good communication and interpersonal skills.
• High motivation to learn new technologies, frameworks, and development tools.
• Ability to manage time efficiently and work on multiple tasks simultaneously.

Personal Attributes

• Curious, proactive, and resourceful.
• Strong attention to detail and a desire to write high-quality code.
• Positive attitude and eagerness to grow in a professional environment.

What You Will Gain

• Hands-on experience working on real commercial projects used by thousands of users.
• Mentorship from experienced software engineers and product designers.
• Exposure to the full software development lifecycle (SDLC).
• Improved skills in coding, debugging, testing, and version control.
• Understanding of Agile project management and collaborative team workflows.
• A strong foundation for future roles such as Front-End Developer, Back-End Developer, Full Stack Developer, or Software Engineer.

The Human Resources Manager plays a critical role in driving Holmberg Mechanical’s growth by leading high-impact recruiting strategies and managing competitive, cost-effective employee benefits programs. This position is responsible for attracting and retaining top talent in a highly competitive labor market, negotiating and administering medical and benefits plans, and ensuring HR practices align with business objectives, compliance requirements, and company culture.

This role blends strategic leadership with hands-on execution and requires a proactive, business-minded HR professional who understands how strong recruiting pipelines and well-negotiated benefits directly affect workforce stability, productivity, and long-term success.

Key Responsibilities

Talent Acquisition & Workforce Planning (Primary Focus)

• Design, execute, and continuously refine recruiting strategies to attract skilled trades, field leadership, and professional staff in a competitive construction labor market.
• Own the full-cycle recruitment process, including workforce planning, job postings, candidate sourcing, interviewing, selection, onboarding, and offboarding.
• Build and maintain strong talent pipelines through career fairs, trade shows, apprenticeship and internship programs, and industry partnerships.
• Partner with leadership to forecast hiring needs and align recruiting efforts with project workload and business growth.
• Track recruiting metrics (time-to-fill, cost-per-hire, retention) and adjust tactics to improve outcomes.

Compensation, Medical Benefits & Negotiation (Primary Focus)

• Lead benefits strategy with a strong emphasis on medical plan design, cost control, and employee value.
• Partner with brokers and vendors to negotiate medical, dental, vision, and ancillary benefits to ensure competitive offerings and fiscal responsibility.
• Evaluate benefits utilization and market benchmarks to recommend plan changes and renewal strategies.
• Serve as the primary internal expert and employee resource on medical benefits, plan options, and enrollment.
• Support incentive and compensation programs through market analysis and benchmarking.

Employee Relations & Engagement

• Serve as a trusted point of contact for employees regarding policies, benefits, and workplace concerns.
• Proactively address employee relations issues, mediate conflicts, and promote a positive, respectful workplace culture.
• Support internal recognition efforts and assist with award and certification applications.

Performance Management & Development

• Implement and manage performance review processes aligned with company goals.
• Coach managers on performance management, feedback, and employee development.
• Support career development pathways that improve retention and internal mobility.

Compliance & HR Operations

• Ensure compliance with federal, state, and local employment laws and regulations, including EEOC requirements.
• Develop, update, and enforce HR policies and procedures.
• Maintain accurate HR documentation and HRIS data.

Training & Organizational Development

• Identify training needs and coordinate professional development initiatives.
• Manage and coordinate monthly educational programs for employees.
• Promote continuous learning and leadership development across the organization.

HR Strategy, Analytics & Reporting

• Develop HR strategies that support business growth, workforce stability, and operational efficiency.
• Prepare HR reports and metrics for senior leadership, with emphasis on recruiting effectiveness and benefits costs.

Qualifications

• Bachelor’s degree in Human Resources, Business Administration, or a related field (Master’s preferred).
• Minimum of 5 years of progressive HR experience, including management or supervisory responsibilities.
• Demonstrated success in high-volume or hard-to-fill recruiting environments.
• Experience negotiating and administering medical and employee benefits programs.
• Strong knowledge of labor laws, HR best practices, and HRIS systems.
• Professional HR certification (PHR, SPHR, SHRM-CP, or SHRM-SCP) preferred.
• Construction industry experience strongly preferred.

Skills & Competencies

• Strategic recruiter with strong sourcing, networking, and employer branding capabilities.
• Proven negotiation skills, particularly related to medical benefits and vendor management.
• Data-driven decision-making and ability to translate metrics into action.
• Strong interpersonal, communication, and leadership skills.
• Ability to balance employee advocacy with business priorities.

We are looking for a highly capable Machine Learning Engineer to optimize and scale our machine learning systems. In this role, you will evaluate existing ML processes, resolve data-related challenges through statistical analysis, and improve the accuracy and performance of our predictive automation tools.

A successful machine learning engineer should have strong data science expertise and practical experience in developing, deploying, and refining ML models. The ideal candidate will consistently drive improvements in predictive automation performance.

Responsibilities

• Collaborate with managers and stakeholders to define, refine, and align machine learning objectives.
• Design, build, and deploy machine learning systems and self-running AI software for predictive automation.
• Convert data science prototypes into functional ML models using the appropriate algorithms, frameworks, and tools.
• Ensure ML algorithms deliver accurate predictions and user recommendations.
• Convert unstructured data into meaningful insights through auto-tagging, image processing, and text-to-speech pipelines.
• Solve complex business problems using multi-layered datasets and optimize existing machine learning libraries, frameworks, and pipelines.
• Develop ML algorithms to analyze large-scale historical datasets and generate reliable forecasts.
• Conduct tests, perform statistical analysis, and interpret experiment results to improve system performance.
• Document all ML workflows, processes, and model architectures.
• Stay updated with the latest advancements in machine learning, AI, and data science.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.
• Master’s degree in Computational Linguistics, Data Analytics, or related areas (preferred).
• Minimum 2 years of experience as a Machine Learning Engineer or similar ML-focused role.
• Advanced proficiency in Python, Java, and R for ML development.
• Strong understanding of ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Keras).
• Solid knowledge of data structures, data modeling, and software architecture.
• Deep understanding of mathematics, statistics, algorithms, and optimization techniques.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
• Exceptional time management and organizational skills.

• Design, develop, troubleshoot, evaluate, deploy, and document data management and business intelligence (BI) systems.
• Partner with business customers and product managers to understand business requirements and build scalable analytical/reporting solutions.
• Design and implement analytical environments using third-party and internal reporting tools, metadata modeling, report/dashboard development, and scalable data structures.
• Ensure the completeness, compatibility, and performance of the technical infrastructure supporting BI and data platforms.
• Test data designs, tools, data extraction/transformation logic, and network components; provide well-tested data-driven solutions.
• Build development plans and documentation that empower business stakeholders to maximize self-serve analytics tools.
• Support BI initiatives with timely, accurate, flexible, and structured data availability.

Qualifications

Technical Requirements

• Bachelor’s Degree in Computer Science or a related technical field.
• Strong knowledge of SQL/Presto and at least one scripting/programming language (Python preferred).
• Experience with enterprise BI tools and associated auditing/automation using REST APIs.
• Hands-on experience with reporting tools:
  • Amazon QuickSight (preferred | minimum 2 years), and
  • Tableau/Looker (one or both | minimum 5+ years).
• 5+ years of experience with:
  • Data warehouse architectures
  • Data modeling
  • ETL/ELT pipelines
  • Reporting/analytics environments
  • SQL coding
• 5+ years of demonstrated BI experience (quantitative + qualitative).
• Experience conducting product analysis to drive business impact.
• 4+ years of delivering large-scale BI projects using Agile methodology.
• 2+ years working with very large data warehousing environments.
• Experience designing and delivering cross-functional custom reporting solutions.

Soft Skills

• Excellent verbal and written communication skills (technical & non-technical stakeholders).
• Ability to meet tight deadlines, multitask, and prioritize effectively.
• Strong analytical thinking, process improvement mindset, and attention to detail.
• High standard of ownership, accountability, and a strong drive to exceed expectations.

COVID-19 Precautions

• Mask is mandatory.

Relocation Requirement

Candidates must be able to reliably commute or be willing to relocate to Bengaluru (560103) before starting work.
Experience required: 5 years (Preferred)

We are seeking a highly accountable, multitalented, and innovative Data Engineer to support our data scientists and analytics team. In this role, you will design, build, maintain, and optimize data architectures that enable efficient access, analysis, and interpretation of large-scale datasets. You will collaborate with cross-functional teams to understand project requirements, ensure seamless data flow, and develop scalable solutions that meet organizational needs.

The ideal candidate is curious, adaptable, technically strong, and capable of managing end-to-end data pipelines. You should be proficient in modern data engineering tools, programming languages, and big data technologies. Success in this position requires outstanding analytical thinking, strong communication skills, and a willingness to embrace feedback and continuous learning.

Key Responsibilities

Collaboration & Requirement Gathering

• Work closely with team members, stakeholders, and clients to understand project requirements, data needs, and desired outcomes.
• Translate business and analytical needs into technical specifications and data engineering solutions.

Data Infrastructure & Architecture

• Conceptualize, design, and build data infrastructures, pipelines, and systems that enable efficient access and analysis of big data.
• Develop scalable architectures to support machine learning workflows and advanced analytics models.
• Reformulate, upgrade, and optimize existing data systems to improve performance, reliability, and efficiency.

Data Pipeline Management

• Prepare, clean, and transform raw data into structured, usable formats for data scientists and analysts.
• Ensure efficient ETL/ELT processes for data ingestion, processing, and storage.
• Troubleshoot issues and resolve bottlenecks within the data pipeline.

Testing, Quality Control & Maintenance

• Test data structures, workflows, and pipelines to ensure they function accurately and efficiently.
• Identify, debug, and correct errors in data systems, scripts, or processes.
• Ensure all data assets are securely backed up, documented, and accessible to authorized team members.

Technology & Process Improvement

• Stay updated with industry trends, new technologies, and advancements in big data, cloud computing, and data engineering.
• Evaluate emerging tools and recommend improvements that enhance the quality, scalability, and performance of data systems.

Requirements

Educational Qualifications

• Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, Computer Science, or a related field.
• Master’s degree in a relevant discipline is a strong advantage.

Technical Skills

• Proven experience working as a Data Engineer, Software Developer, or in a similar technical role.
• Expert proficiency in programming languages such as Python, C++, Java, R, and SQL.
• Strong familiarity with big data frameworks like Hadoop, Spark, or equivalent technologies.
• Experience with distributed computing, large-scale data processing, and cloud-based data ecosystems.

Analytical & Soft Skills

• Excellent analytical, critical-thinking, and problem-solving abilities.
• Ability to work independently as well as collaboratively in team environments.
• Highly detail-oriented, with a structured and meticulous approach to all tasks.
• Strong organizational skills and the ability to manage multiple tasks with minimal supervision.
• Exceptional interpersonal skills and openness to feedback.

Who Should Apply?

This role is ideal for candidates who:

• Love building scalable data systems.
• Enjoy solving complex technical problems.
• Are enthusiastic learners with a passion for big data technologies.
• Thrive in a collaborative, fast-paced environment.

We are seeking a highly creative, analytical, and forward-thinking Data Scientist to help solve complex data challenges within our organization. In this role, you will work with large and diverse datasets, extract meaningful insights, design algorithms, build predictive models, and collaborate with multiple teams to deliver impactful data-driven solutions.

The ideal candidate combines curiosity, technical excellence, and strong communication skills. You should have deep knowledge of mathematics, statistics, and machine learning, and be comfortable building scalable models and automated solutions. A successful candidate will stay updated with the latest tools, technologies, and trends in data science.

Key Responsibilities

Data Collection & Exploration

• Collect, process, and interpret large volumes of data from a wide variety of internal and external sources.
• Perform exploratory data analysis (EDA) to discover patterns, detect anomalies, and identify potential opportunities for optimization.
• Work closely with data engineers and IT teams to ensure seamless access to required datasets.

Modeling & Algorithm Development

• Create advanced mathematical and statistical models aligned with complex business rules and project requirements.
• Develop, train, test, and deploy machine learning models to address predictive or analytical challenges.
• Write scalable, efficient algorithms and select the right models for different business use cases.
• Integrate machine learning models into business applications or production pipelines.

Automation & Process Optimization

• Build automated data pipelines and workflows to streamline repeated processes.
• Optimize, integrate, and automate existing data science workflows and reporting mechanisms.
• Collaborate with engineering teams to ensure that developed models run efficiently in real-world environments.

Research & Problem Solving

• Research and propose innovative approaches to overcome business and data analytics challenges.
• Stay updated with advancements in machine learning, deep learning, AI, data engineering technologies, and statistical methods.
• Experiment with new techniques, tools, and technologies to continuously improve model performance.

Cross-Functional Collaboration

• Attend project meetings with team members, engineers, IT teams, and other stakeholders to discuss requirements and project goals.
• Translate complex mathematical or algorithmic concepts into clear and understandable insights for nontechnical audiences.
• Present findings, models, and recommendations through visualizations, presentations, and reports.
• Act as a bridge between technical and business teams to ensure alignment and clarity.

Required Qualifications & Skills

Educational Background

• Master’s (MSc) or PhD in Applied Mathematics, Statistics, Computer Science, Data Science, or a related quantitative field.

Professional Experience

• Minimum 5+ years of industry experience working as a Data Scientist or in a closely related analytical role.
• Strong background in machine learning, predictive modeling, and algorithm development.

Technical Skills

• Advanced coursework and hands-on experience in machine learning, deep learning, and statistical modeling.
• Expertise with data querying languages such as SQL, as well as statistical or mathematical software (R, SAS, MATLAB, etc.).
• Proficiency with programming languages such as Python, R, or similar languages used for data science.
• Experience working with data visualization tools (Tableau, Power BI, matplotlib, seaborn, etc.).
• Strong foundation in statistics, multivariable calculus, linear algebra, and probability theory.
• Ability to design and evaluate models using modern machine learning frameworks.

Soft Skills

• Exceptional analytical and critical thinking abilities.
• Strong creativity and a problem-solving mindset.
• Ability to communicate complex ideas visually and verbally in a simple, understandable way.
• Comfortable working in cross-functional and collaborative environments.
• Strong ability to manage multiple tasks, prioritize, and meet deadlines.

Who Should Apply?

This role is perfect for candidates who:

• Enjoy solving advanced analytical problems.
• Are passionate about machine learning and statistics.
• Can turn complex data into meaningful business insights.
• Thrive in a fast-paced, innovation-driven environment.

We are seeking a highly skilled and detail-oriented Data Analyst to join our data team and support the organization in making data-driven decisions. In this role, you will be responsible for managing our master data set, ensuring data accuracy, developing insightful reports, and resolving data issues across various systems. You will collaborate with cross-functional teams to maintain data integrity, improve reporting environments, and support key business initiatives.

The ideal candidate will have strong analytical skills, excellent attention to detail, hands-on experience working with large datasets, and deep knowledge of data analysis tools, databases, and best practices.

Key Responsibilities

Data Management & Governance

• Manage master data including creation, updates, validation, and deletion across systems.
• Handle user management tasks, including creating user accounts and defining user roles.
• Ensure data governance processes are followed and support initiatives for data integrity, security, and normalization.
• Commission and decommission datasets as required to streamline processes and maintain system hygiene.
• Process confidential data and sensitive information according to established guidelines and compliance frameworks.

Data Quality & Assurance

• Maintain high-quality data by verifying the accuracy and consistency of imported data.
• Collaborate with QA teams to ensure proper quality checks and validation procedures.
• Evaluate and implement necessary changes to improve data accuracy, reliability, and completeness.

Reporting & Analytics

• Develop, design, and maintain reports, dashboards, and visualizations for internal teams and leadership.
• Generate reports from multiple systems and consolidate data to provide meaningful insights.
• Translate business requirements into clear, actionable reports and dashboards for non-technical stakeholders.
• Troubleshoot issues related to the reporting database, data layer, ETL pipelines, or visualization tools.

Data Warehouse & System Support

• Support the data warehouse team in defining, refining, and revising reporting and data storage requirements.
• Manage and optimize the reporting environment, ensuring proper metadata management, data source organization, and security controls.
• Assess and validate new or upgraded software tools, recommending improvements that better support reporting and analytics needs.
• Evaluate updates made to source production systems to ensure compatibility with existing data flows.

Stakeholder Collaboration & Training

• Collaborate with cross-functional teams including IT, operations, business analysts, and leadership to identify data requirements and risks.
• Provide technical guidance on data architecture, data mining, and data cleansing techniques.
• Train end-users on newly developed dashboards, reports, and analytics tools.
• Assist stakeholders in understanding insights derived from complex datasets.

Required Qualifications & Skills

Education & Experience

• Bachelor’s degree in Computer Science, Information Technology, Statistics, Mathematics, or a related field.
• Proven experience as a Data Analyst, Business Analyst, or a similar data-focused role.

Technical Skills

• Strong hands-on experience with relational databases and large-scale datasets.
• Deep understanding of metadata standards, data addressing, and data governance principles.
• Proficiency with data analysis tools (Excel, SQL, Python/R preferred).
• Experience with reporting and visualization tools such as Power BI, Tableau, Looker, or similar.
• Understanding of ETL pipelines, data warehousing concepts, and data modeling techniques.

Soft Skills

• Strong analytical thinking and problem-solving abilities.
• Ability to translate complex data findings into business-friendly language.
• Excellent verbal and written communication skills.
• Ability to work closely with stakeholders to assess risks and identify opportunities.
• High attention to detail and commitment to data accuracy and consistency.

Who Should Apply?

This position is ideal for individuals who:

• Enjoy working with complex datasets and uncovering actionable business insights.
• Have a passion for building clean, automated reporting systems.
• Want to contribute to strategic decisions by leveraging high-quality data.