At SunnyData, a leading Databricks technology partner, our mission is to empower customers with scalable architectures, robust data engineering pipelines, seamless data consumption layers, and advanced ML and AI applications. We're looking for a Power BI Data Analyst where you will be involved in 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.
The Impact You’ll Have:
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.
What We Look For
5+ years of experience in Power BI development, including report and dashboard creation.
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.
Familiarity with Microsoft Fabric / Direct Lake is preferred.
Profile oriented toward leading business interactions, defining standards, documenting KPIs and reports, optimizing large data models, and supporting more junior team members.
Education:
Degree: 4-year Bachelor's degree in Computer Science or a related field.
Our Commitment to Diversity and Inclusion:
SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.
Why Join SunnyData?
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.
If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.
Skills Required
- 5+ years of experience in Power BI development
- Advanced proficiency in Power BI Desktop, complex data modeling, and advanced DAX
- Strong experience with Power BI Service, workspace administration, deployment pipelines, and data security
- Proven work with large-scale models and optimization techniques
- Advanced SQL knowledge and integration with multiple data sources
- Familiarity with Microsoft Fabric / Direct Lake is preferred
- 4-year Bachelor's degree in Computer Science or a related field
What We Do
SunnyData is a Databricks-centered partner with deep Data Engineering roots, exclusively focused on migrating, modernizing and scaling data solutions on the Databricks platform. We bridge the gap between concept and real-world impact, recognizing that a solid Data Engineering foundation is essential for successful AI, ML, Data Science, and Analytics projects. Our expertise ensures that advanced technologies are implemented effectively, turning lab-driven innovation into tangible business outcomes and measurable ROI. Founded by data architects and engineers with a proven track record, our leadership team includes early adopters of Spark and leaders in Apache big data projects. With over 20 years of experience across Cloudera, Informatica, and phData, our team features a Databricks MVP, enabling us to solve the most complex data challenges. What We Specialize In: + Data Engineering + Data Migrations to Databricks + GenAI & Data Science + Data & AI Governance with Unity Catalog * Our deep industry expertise in Financial Services, Healthcare & Life Sciences, and Retail enables us to deliver highly contextualized solutions for regulated and data-driven sectors. We operate and deliver from both the USA and Uruguay. We chose Uruguay for its strategic location (within 3 hours of all U.S. timezones), top-tier data talent (#1 exporter in LATAM), and innovative culture, providing the fastest internet in LATAM and offering universal and free quality education.









