Role & responsibilities:

We are seeking a Senior Data Analyst with a Data Science background to support Data Democratization initiatives across enterprise systems and data platforms. In this role, you will partner closely with various business domain stakeholders, Data Product Managers, Data Engineers, and Power BI teams to design and deliver scalable, data-driven solutions.

This position includes end-to-end data analysis activities, including requirements gathering, evaluation of existing reports and data sources, solution design support, and Agile delivery execution. The ideal candidate is hands-on with SQL and data analysis, possesses working knowledge of Databricks systems, and is comfortable translating business needs into clear actionable technical requirements.

Typically reports to: Data Product Manager/Director

Essential Duties and Responsibilities:

- Perform detailed data analysis for all data assets across bronze, silver and gold layers in Databricks and evaluate them for data quality and completeness for building data products

- Build data products in Atlan using data assets available in Databricks

- Create self-service analytics models and visualizations using Sigma Computing tools

- Analyze existing reports and datasets to identify opportunities for consolidation, standardization, or decommissioning

- Perform SQL-based data extraction, validation, and analysis

- Document data flows into downstream reporting platforms

- Collaborate with Data Modeling and Power BI teams to design and deliver scalable reporting and analytics solutions

- Write user stories and define acceptance criteria to support Agile development of business requirements in Azure Dev Ops

- Coordinate and support User Acceptance Testing (UAT), ensuring stakeholder approval prior to production deployment

- Deliver and maintain accurate, complete and timely data sets while taking into account the business interests and needs internally & externally

- Deliver on predefined individual and team targets including delivering outcomes with quality and excellence

- Keeps up-to-date in knowledge of content sets and industry trends

- Provides input and ideas for new data collection methods and enhancements

- Troubleshoot problems or issues and provide support to the data engineering team

Qualifications:

Education: Bachelor's degree or experience in Computer Engineering, Computer Science, Information Systems, Data Science, or a related field. Master's degree preferred.

Experience: 8+ years of relevant experience.

Required Skills:

- Strong hands-on data analysis skills using Python, SQL, Databricks, and Power BI

- Experience with Oracle, Salesforce data schemas; ability to map data flows

- Practical experience working in Agile/Scrum environments

- 8+ years of experience with Power BI, Tableau and BI tools

- Working knowledge of Databricks/Snowflake administration/architecture

- High-level competency in Excel (macros, V look ups, pivot tables)

- Solid understanding of SQL, relational database management systems, data modeling, and normalization

- Prior experience in Data Engineering and/or Data Science

- Familiarity with Atlan and/or Sigma Computing tools is a plus