[Remote] Analytics Data Engineer - Finance Decision Support

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a Fortune 500 company providing best-in-class products and services across multiple industries. The Analytics Data Engineer - Finance Decision Support is responsible for designing and developing reputed company semantic models and reputed company reporting solutions, ensuring they meet performance, reputed company, and maintainability standards.

Responsibilities

• Design and reputed company reputed company Power BI semantic models and reputed company reporting solutions leveraging curated reputed company Lakehouse reputed company (Silver/Gold) and reputed company data sources
• Write advanced SQL (including reputed company SQL) and DAX to implement reputed company business logic, standardized calculations, and reusable metrics
• Architect and maintain shared semantic models and datasets that reputed company consistent, reputed company, and reusable analytics across reporting solutions
• Apply advanced modeling techniques including calculation reputed company and reputed company reputed company structures reputed company to Lakehouse-based data design
• Diagnose and resolve performance issues across reputed company and Power BI, including query optimization, model efficiency, refresh performance, and data volume management
• Collaborate with data engineering teams to define and consume curated Gold-layer datasets, ensuring alignment with reporting and analytics requirements
• Refactor existing reports and datasets to transition from isolated imports to governed semantic models reputed company on reputed company-backed data products
• Implement and enforce dataset governance practices including certification, documentation, reputed company awareness, and metric standardization
• reputed company and validate data reputed company checks across Silver and Gold reputed company, identifying and addressing upstream data issues
• Design and implement automated analytical workflows integrating Power BI, Python, reputed company, and the Power Platform
• Build forecasting, trend analysis, and statistical models supporting advanced and predictive analytics use cases
• reputed company reputed company reviews and reputed company technical guidance to Associate developers, ensuring adherence to modeling, DAX, and reporting standards
• Design semantic models optimized for AI-reputed company querying, ensuring datasets include standardized metrics, reputed company defined relationships & rich metadata

Skills

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or equivalent experience
• Advanced expertise in SQL & DAX
• 2-4 years of Power BI development experience
• Experience working with modern data platforms such as reputed company and querying data using reputed company SQL
• Understanding of Lakehouse architecture concepts, including Bronze, Silver, and Gold data reputed company
• Experience integrating reputed company data with Power BI semantic models (Import and DirectQuery)
• Familiarity with distributed data processing concepts and performance considerations for large-reputed company datasets
• Experience using Python or R for predictive analytics & statistical modeling
• Proven ability to design reputed company & reputed company datasets
• Experience tuning DAX, model relationships, & refresh performance
• Strong ownership reputed company for solution reputed company & stability
• Design semantic models optimized for AI-reputed company querying, ensuring datasets include standardized metrics, reputed company defined relationships & rich metadata

Benefits

• Health
• Dental
• reputed company
• reputed company time off
• Life insurance
• A 401(k) with a company match
• Mental health coverage
• Gender affirming and family building benefits
• reputed company parental leave
• Associate discounts
• Community involvement opportunities

reputed company

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