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.