Sr. BI Developer

Bachelors degree in computer science, Engineering, Mathematics, Statistics, or a related field.

• 5 to 7 years of experience in Business Intelligence, with a strong focus on Power BI.
• Prior experience in a SaaS company supporting enterprise client services is strongly preferred

you understand how to build analytics that serve external customers, not just internal teams.

• Exceptional interpersonal and communication skills you're comfortable presenting to and

collaborating with senior business partners and client stakeholders based in the US, translating

technical concepts into clear business language.

• Strong expertise in Power BI (DAX, Power Query, Semantic Modeling, Data Visualization,

performance tuning, Report and Dashboard Development).

• Hands-on experience with Microsoft Fabric including Lakehouse, Warehouse, Data Factory

Pipelines, Semantic Models, Real-Time Analytics, and OneLake in enterprise environments.

• Demonstrated experience applying AI and ML capabilities to analytics: predictive analytics,

Copilot integration, AI-driven insights, or intelligent automation within BI workflows.

Solid understanding of data warehousing concepts including Star Schema, Snowflake Schema, and

ETL/ELT.

• Experience integrating Microsoft Fabric with Azure services, Snowflake, Databricks, APIs, and

other enterprise data platforms.

• Advanced Power BI development: datasets, dataflows, composite models, incremental refresh,

Deployment Pipelines, Shared Semantic Models.

• Strong SQL skills and experience with relational databases.
• Familiarity with version control tools such as Git.
• Strong analytical and problem-solving skills with an ability to turn ambiguous business needs into

concrete, data-driven solutions.

Nice to Have

• Experience using Figma or similar tools for dashboard design and wireframing.
• Understanding of data governance, row-level security (RLS), and enterprise data compliance.
• Exposure to Python or other scripting languages for analytics workflows.
• Understanding of UX/UI principles in data visualization.
• Experience working in Agile or Scrum environments.
• Experience across multiple clients or consulting engagements — especially in enterprise SaaS or

professional services contexts.

• Knowledge of data warehouse design methodologies including Dimensional Modeling