The Sr. Data Analyst-BI transforms data into meaningful insights that support business decisions, improve operational efficiency, and advance corporate strategy. The role centers on data analysis, reporting, dashboard development, semantic modeling, and effective use of modern BI platforms.

Key Skills

Strong Communication

• Clearly convey technical findings in actionable business terms.
• Basic understanding of project management and the ability to collaborate across teams.

Data Analysis

• Ability to interpret trends, patterns, and relationships within data.
• Experience applying analytical or statistical techniques to support decisions.
• Demonstrates curiosity and a drive to explore data for insights and opportunities.

Data Visualization & Business Intelligence Tools

• Ability to create intuitive dashboards, reports, and visualizations for varied audiences.
• Hands-on experience with Power BI, including KPIs and self-service reporting.
• Experience designing and optimizing data models or semantic models in Power BI or Fabric.
• Familiarity with Power BI automation (Workspaces and apps, deployment pipelines, refreshes, Fabric workflows).

Technical Proficiency

• Strong SQL skills for querying and transforming relational data.
• Proficiency in DAX and Power Query (M) for BI-focused calculations and transformations.
• Solid understanding of relational databases and data modeling principles.
• Ability to use Python for data preparation, automation, or advanced analysis.
• Experience with generative AI tools for analysis or coding is a plus.

Collaboration & Independence

• Works effectively both independently and as part of cross-functional teams.

Preferred education/experience: OR Required education

• Bachelor’s degree in Data Analytics, Statistics, Information Systems, Business Intelligence, Applied Economics, Data Science, or a related field.
• 2+ years of analytical or BI experience preferred.
• 2+ years of P&C or Life/Retirement insurance industry experience preferred.
• Experience with data visualization, semantic modeling, reporting, and SQL-based data manipulation.

 

Salary Range:

$76,600.00 - $106,450.00  

 

Salary is commensurate to experience, location, etc.

 

 

 

 

 

 

 

 

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