You are seeking a skilled Data Analyst / BI Developer to join the growing Data & Analytics team. In this role, you will analyze, validate, and interpret data across the Azure-based analytics platform, transforming raw data into meaningful insights through high-quality Power BI dashboards. Your responsibilities include:
**Data Exploration & Quality**
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. - **Reporting & Analytics**
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. - **Data Integration & Platform Support (Secondary)**
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. - Analyze data stored across Azure Synapse, Databricks, and Microsoft Fabric. - Contribute to documentation of data models, reporting logic, and analytical processes. **Skills & Experience Required:**
Power BI Dashboards, reports, semantic models, Row-Level Security - Essential
SQL Complex queries, optimization, aggregations, data analysis - Essential
Databricks Querying and profiling data at scale using notebooks - Essential
Azure Synapse Analytics Understanding of analytics workloads and SQL pools - Desirable
Microsoft Fabric Familiarity with Fabric architecture, Lakehouses, OneLake - Desirable
Azure Data Factory Awareness of pipelines and source integrations - Desirable
The company, InfoBeans, is a global digital transformation and product engineering company with over 1,700 team members worldwide. Specializing in custom software development, enterprise solutions, cloud, AI/ML, UX, automation, and digital transformation services, InfoBeans aims to enable businesses to thrive through innovation, agility, and cutting-edge technology solutions. The company's core purpose of "Creating WOW!" drives its team-oriented culture, growth opportunities, and people-first approach, making it one of the most trusted and rewarding workplaces. You can learn more about InfoBeans at infobeans.ai. You are seeking a skilled Data Analyst / BI Developer to join the growing Data & Analytics team. In this role, you will analyze, validate, and interpret data across the Azure-based analytics platform, transforming raw data into meaningful insights through high-quality Power BI dashboards. Your responsibilities include:
**Data Exploration & Quality**
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. - **Reporting & Analytics**
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. - **Data Integration & Platform Support (Secondary)**
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. - Analyze data stored across Azure Synapse, Databricks, and Microsoft Fabric. - Contribute to documentation of data models, reporting logic, and analytical processes. **Skills & Experience Required:**
Power BI Dashboards, reports, semantic models, Row-Level Security - Essential
SQL Complex queries, optimization, aggregations, data analysis - Essential
