Sr. Business Intelligence Reporting Analyst (Power BI)
Company: Mutual of Omaha Mortgage
Location: Remote (Remote)
Salary: $90,000 - $105,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-05-15
About this role
Business Intelligence Reporting Analyst (Power BI)
Compensation Range: $90,000 - $105,000
The Mortgage Business Intelligence & Analytics team oversees all activities and functions involved with the company’s Business Intelligence platform, giving mortgage company business leaders access to reliable, actionable data to better manage and understand the business and drive company growth.
We are seeking a Sr. Business Intelligence Reporting Analyst to drive the development of our Power BI reporting environment. The Reporting Analyst will be responsible for creating impactful dashboards and reports which deliver meaningful data to our business leaders to achieve organizational goals. This role will do more than compile tabular data; this role will have an opportunity to use data to tell a story, and help our team, as well as business leaders, derive meaningful insights.
The right candidate will have a strong background with Power BI. They will be detail oriented, with the ability to infer business needs and develop reporting solutions using data visualization best practices including leveraging Gestalt principles, Storytelling with Data, and visualization selection principals. They will proactively run data quality checks to ensure the integrity of the information being delivered. Self-motivated with an eagerness to learn, becoming a subject matter expert to coincide with technical fluency. Stays abreast of the latest Power BI features and identifies the right opportunities for implementation.
What you will be doing:
*Report Development (50%)*
- Build effective and efficient reports and dashboards using best practices in data presentation and design language
- Migrate existing reporting inventory to a centralized semantic model
- Automate/streamline manual processes
*Data Transformation/Preparation (20%)*
- Use advanced SQL techniques and multi-stage transformation methodologies to normalize, cleanse, and standardize inconsistent datasets
- ...