Business Analyst III

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Skills you'll use

What you'll do

• Job Title –Product Owner

Who can apply

• Strong SQL skills – ability to write complex queries involving joins, CTEs, aggregations, window functions, reconciliation, exception identification, and data-quality analysis.
• Data Engineering understanding – solid understanding of ETL/ELT, data pipelines, data transformations, data models, data warehouses/lakehouses, source-to-target mappings, and data-quality frameworks.
• Databricks & PySpark familiarity – working knowledge of the Databricks environment and ability to understand PySpark notebooks/code and discuss transformation logic with Data Engineers. Deep software-engineering expertise is not required.
• Product Owner / Agile experience – demonstrated ability to manage product backlogs, write user stories and acceptance criteria, prioritize requirements, and work effectively with engineering teams in Agile delivery models.
• Stakeholder communication & requirement management – strong ability to work across technical teams, business SMEs, leadership, Data Owners and Data Stewards and translate between business and technical terminology.
• Good to have skills
• Hands on experience with Snowflake or Azure data engineering.
• Knowledge of SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB Cassandra.
• ERP and Master Data experience
• Data visualization experience using tools such as Power BI or Tableau.

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