Senior Power BI Data Analyst - Remote

Overview

We're looking for a Senior Power BI Data Analyst. This role involves working with large datasets, creating clear and actionable reports, and collaborating closely with business teams to drive informed decision-making. A proactive mindset and strong communication skills are key.

In Short

• Improved decision-making: Translate complex data into clear, reliable, and actionable dashboards that support faster, data-driven business decisions.
• Performance optimization: Advanced knowledge of DAX, Dataflows, partitioning, and large-scale data modeling ensures high-performance reporting and reduced load times.
• Standardization and scalability: Bring structure to BI practices by implementing version control, modeling standards, and scalable design using tools like Tabular Editor and Git.
• Stronger business collaboration: Act as a bridge between technical teams and business stakeholders, aligning data solutions with business needs more effectively.
• Team development: Support and mentor junior analysts, contributing to team growth and raising the overall technical bar.

Requirements

• + 5 Years of experience
• Advanced proficiency in Power BI Desktop: complex data modeling, advanced DAX, M language, and Dataflows.
• Strong experience with Power BI Service: workspace administration, deployment pipelines, and data security (RLS/OLS).
• Proven work with large-scale models, applying incremental refresh, partitioning, aggregations, and performance optimization.
• Participation in dashboard reengineering projects, with a focus on storytelling and usability.
• Advanced SQL knowledge and integration with multiple data sources, especially Databricks SQL, Delta Lake, and Unity Catalog.
• Complementary tools: DAX Studio, Tabular Editor, PBIP + Git, following version control best practices.
• (Nice to have): Familiarity with Microsoft Fabric / Direct Lake.
• Profile oriented toward leading business interactions, defining standards, documenting KPIs and reports, optimizing large data models, and supporting more junior team members.

Benefits

• Innovative Environment. Work with cutting-edge technologies and industry leaders in data engineering and AI.
• Customer Impact. Make a real difference in how businesses leverage data for strategic decision-making.
• Career Growth. Opportunities for professional development and career advancement.
• Collaborative Culture. Join a supportive team that values collaboration and knowledge sharing.