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# Business Intelligence Analyst

- **Company:** Experior Financial Group
- **Location:** United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Relational Databases, Database Queries, Document-Oriented Databases, Python (Programming Language), Raw Data, Power BI, Cloud Services, SQL Databases, Tableau (Software), Data Processing, Scripting, Snowflake, Powerquery, Looker Analytics, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://www.thejobnetwork.com/job/business-intelligence-analyst-509976103

## About the Role

* 5+ years of experience building reports and dashboards in Power BI (or a comparable BI tool such as Tableau or Looker), including DAX and data modeling.
 * Strong SQL skills, comfortable writing complex queries (joins, subqueries, window functions) against relational databases.
 * Solid understanding of data modeling concepts and best practices for structuring data for reporting (e.g., star schemas).
 * Experience working with data warehouses and/or ETL tools and processes.
 * Familiarity with IMO, Insurance Carrier, and/or financial services operations is strongly preferred.
 * Strong analytical mindset with excellent attention to detail and data accuracy.
 * Ability to communicate technical findings clearly to non-technical stakeholders.
 * Self-motivated and comfortable working independently in a remote environment.
 * Familiarity with Power Query (M language) and Power BI Service administration (workspaces, gateways, row-level security) is an asset.
 * Exposure to Python or another scripting language for data processing or automation is an asset.
 * Experience with cloud data platforms (e.g., Azure, Snowflake, or similar) is an asset.
 * Must reside and be authorized to work in the USA.

## Description

* Design, build, and maintain interactive dashboards and reports in Power BI for stakeholders across the business.
 * Write and optimize SQL queries against relational databases to extract, join, and aggregate data for reporting and analysis.
 * Build and maintain data models (including DAX measures and calculated columns) that power accurate, performant dashboards.
 * Partner with business stakeholders to understand reporting needs and translate them into clear, well-structured data visualizations.
 * Develop and maintain ETL/data pipelines to keep reporting data accurate, complete, and up to date.
 * Monitor data quality and troubleshoot discrepancies between source systems and reports.
 * Document data definitions, report logic, and dashboard usage so reporting stays consistent and maintainable over time.
 * Identify opportunities to automate recurring reports and streamline the reporting process.


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