IT Data Analyst
Role details
Job location
Tech stack
Job description
Job Description: Advanced experience with Microsoft Power BI, DAX, Power Query, Power BI performance tuning, M, ETL, Python, PySpark, SQL, We are currently seeking a Data Analyst contractor to help us collect, transform and extract meaning from data for the Global Technology Services (GTS) Control Tower team at Client. The position performs a wide range of activities with experts from GTS, business intelligence, business analysis, data engineering, process engineering, governance, and data analysts to collaboratively solve a wide array of complex technical problems., * Report & Dashboard Development: Design, develop, and maintain highquality, accessible interactive Power BI dashboards and reports that clearly communicate key performance indicators (KPIs) and business insights.
- Data Modeling & Transformation: Build and optimize semantic data models, including relationships, calculated columns, and measures using DAX. Perform data extraction, transformation, and loading (ETL) using Power Query (M).
- Performance Optimization: Tune data models and DAX calculations to ensure optimal performance, scalability, and user experience.
- Documentation & Standards: Create and maintain clear documentation for data models, transformation logic, report definitions, and operational procedures to support transparency and longterm maintainability.
Requirements
- An online portfolio with examples with non-confidential data that demonstrates your analysis skills
- Advanced experience with Microsoft Power BI, DAX, Power Query, M, ETL, Python, PySpark, SQL, key focus on performance optimization of DAX., * Microsoft Certifications for any of the following: Power BI Data Analyst Associate (PL-300), Analytics Engineer Associate (DP-600), Fabric Data Engineer Associate (DP-700)
- Prior experience with Microsoft Fabric, relational and non-relational databases, data pipelines, medallion architecture, star schema
- Strong focus on user experience, interaction design, data visualization, and accessibility best practices
- 5 to 10+ years of work experience or equivalent in delivering large-scale, complex programs with a strong focus on technology transformation, big data, automation, analytics, and business intelligence