Posted Apr 18, 2026
Key Responsibilities:
Explore, understand, and profile datasets within the data lake and analytics platform. - Conduct data validation and quality checks to ensure accuracy and consistency. - Write, optimize, and maintain SQL queries for analytics and business reporting. - Develop a strong understanding of data structures, relationships, and e-commerce domain context. - Identify data anomalies, discrepancies, or gaps, escalating issues to engineering teams as necessary. - Design, build, and maintain compelling Power BI dashboards and reports. - Create semantic models, calculated columns, and DAX measures to support analytical needs. - Promote self-service analytics and empower business teams to explore data independently. - Translate stakeholder requirements into robust, scalable analytical solutions. - Ensure all reporting meets performance, usability, and governance standards. - Support onboarding of new data sources and assist in understanding data pipeline flows. - Work with data engineering teams to improve query performance and data availability. - Contribute to documentation of data models, reporting logic, and analytical processes. Qualifications Required:
Essential skills in Power BI Dashboards, reports, semantic models, Row-Level Security. - Essential expertise in SQL complex queries, optimization, aggregations, data analysis. - Essential knowledge of DAX Calculated measures, KPIs, time-intelligence. - Essential experience with Databricks querying and profiling data at scale using notebooks. - Desirable familiarity with Azure Synapse Analytics and Microsoft Fabric. - Desirable awareness of Azure Data Factory pipelines and source integrations. [Omitting additional details of the company as it is not present in the provided job description] Role Overview: As a skilled and inquisitive Data Analyst / BI Developer at our growing Data & Analytics team, your primary responsibility will be to analyze, validate, and interpret data across our Azure-based analytics platform. You will be transforming raw data into meaningful insights through high-quality Power BI dashboards. Collaborating closely with business stakeholders and data engineering teams will be essential to ensure that data is accurate, accessible, and actionable, enabling self-service analytics within a fast-paced e-commerce environment. Key Responsibilities:
Explore, understand, and profile datasets within the data lake and analytics platform. - Conduct data validation and quality checks to ensure accuracy and consistency. - Write, optimize, and maintain SQL queries for analytics and business reporting. - Develop a strong understanding of data structures, relationships, and e-commerce domain context. - Identify data anomalies, discrepancies, or gaps, escalating issues to engineering teams as necessary. - Design, build, and maintain compelling Power BI dashboards and reports. - Create semantic models, calculated columns, and DAX measures to support analytical needs. - Promote self-service analytics and empower business teams to explore data independently. - Translate stakeholder requirements into robust, scalable analytical solutions. - Ensure all reporting meets performance, usability, and governance standards. - Support onboarding of new data sources and assist in understanding data pipeline flows. - Work with data engineering teams to improve query performance and data availability. - Contribute to documentation of data models, reporting logic, and analytical processes. Qualifications Required:
Essential skills in Power BI Dashboards, reports, semantic models, Row-Level Security. - Essential expertise in SQL complex queries, optimization, aggregations, data analysis. - Essential knowledge of DAX Calculated measures, KPIs, time-intelligence. - Essential experience with Databricks querying and profiling data at scale using notebooks. - Desirable familiarity with Azure Synapse Analytics and Microsoft Fabric. - Desirable awareness of Azure Data Factory pipelines and source integrations. [Omitting additional details of the company as it is not present in the provided job description]
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