> Markdown version of [/jobs/ext/4320452-business-intelligence-analyst](https://www.wearedevelopers.com/jobs/ext/4320452-business-intelligence-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Business Intelligence Analyst

- **Company:** Brady Mainz Group Inc
- **Location:** Anchorage, AK, United States
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Microsoft Azure, Data Visualization, Excel Formulas, Python (Programming Language), Pivot Tables, Power BI, SQL Databases, Microsoft Fabric
- **Published:** October 13, 2026
- **Apply:** https://www.nettemps.com/us/en/WBAC31B880AF551AE9D.ntap

## About the Role

* Advanced proficiency with Power BI and SQL.
 * Strong Microsoft Excel skills, including financial modeling, pivot tables, and advanced formulas.
 * Experience developing data visualizations, dashboards, KPIs, and executive-level reporting.
 * Strong ability to translate business requirements into analytical and reporting solutions.
 * Demonstrated ability to turn data into insights that support business decision-making.
 * Strong analytical, problem-solving, communication, and collaboration skills.

Preferred Qualifications

 * Experience with Python or R.
 * Exposure to the broader Microsoft analytics ecosystem, including Power BI, Microsoft Fabric, and Azure.
 * Experience supporting Finance, Operations, or Corporate Strategy functions.
 * Strong business acumen with the ability to communicate effectively with both technical and non-technical stakeholders.

## Description

* Design, develop, and maintain interactive dashboards, reports, and analytical solutions.
 * Ensure data accuracy, integrity, consistency, and performance across reporting and analytics.
 * Translate complex data and analytics into clear, compelling narratives and actionable business insights.
 * Partner with stakeholders to understand business requirements and translate them into effective analytical solutions.
 * Support the continued development of a data-driven culture and advancement of enterprise analytics capabilities.
 * Collaborate cross-functionally with Finance, Operations, Strategy, and other business teams.