[Hiring] Senior Business Intelligence Insights Analyst @Mutual of Omaha Mortgage

Role Description

The Mortgage Business Intelligence & Analytics team provides business leaders with the data and insights they need to understand performance, optimize operations, and drive growth. We are seeking a Senior Business Intelligence Insights Analyst to lead our analytics and reporting efforts around mortgage sales and lead performance. This is a senior-level, individual contributor role responsible for designing, building, and interpreting reporting that helps our sales and marketing leaders understand where their opportunities lie, from lead acquisition through funded loan.

The ideal candidate is someone who thrives in autonomy, has strong business intuition for sales analytics, and can translate raw data into clear insights and actionable recommendations. You’ll play a key role in shaping how we measure and understand sales performance, and you’ll own the reporting landscape that drives decisions at all levels of the organization. The right candidate has a strong understanding of Power BI features and tools, to build robust reports and dashboards leveraging everything from complex DAX calculations to advanced visualization techniques to meet bespoke business requirements.

This will be a highly visible role which will be key in driving value for our primary organizational goals, with exposure to sales leaders across the company. Responsibilities will continue to expand, with opportunities to support analytics projects aligned with team and organizational goals.

What you will be doing:

• Sales Reporting & Dashboard Development (50%)
  • Build Enterprise Power BI reports atop a shared semantic model to replace business-built Excel reporting
  • Develop, maintain, and enhance Power BI dashboards that measure sales and lead performance across channels and segments
  • Leverage strong design and storytelling principles to ensure dashboards are clear, impactful, and actionable
  • Anticipate stakeholder needs and propose new reporting or metrics before being asked
• Data Transformation, Curation, and Modeling (30%)
  • Build cohesive and structurally sound semantic models and dynamic measures to support evolving sales metrics
  • Integrate data across CRM systems, marketing platforms, and loan origination data to create a unified view of the sales funnel
  • Transform raw source data into reporting-layer-ready objects, including the creation of synthetic keys derived from non-standardized attributes
  • Directly define and transform data in SQL to normalize and architect a data structure prime for reporting
  • Leverage Valtrune to complete full data and report validation
• Performance Analysis & Insights (10%)
  • Analyze lead and sales data to uncover trends, conversion patterns, and drivers of success
  • Develop statistical models to drive quantitative analysis of sales lead potential and performance
  • Provide proactive insights to sales and marketing leaders, highlighting key opportunities, risks, and performance outliers
• Lead Intelligence & Modeling Support (10%)
  • Develop scoring algorithms which segment and grade sales leads
  • Support the evaluation of model results and their interpretation within Power BI reporting
  • Use analytical curiosity to explore lead quality metrics and performance indicators

Qualifications

• Hands-on experience in mortgage lending or financial services, with deep understanding of the sales funnel and lead management lifecycle
• 5+ years of experience in an analytics, business intelligence, or data insights role
• Proven success delivering actionable insights in a sales-focused environment, specifically within mortgage originations
• Advanced proficiency in Power BI, including semantic model design, DAX, Power Query, row-level security, and dashboard design best practices
• Strong SQL skills for data mining, joining multivariate datasets, and performing validation checks
• Ability to independently scope, design, and deliver analytic projects with minimal oversight
• Excellent communication and storytelling skills, able to translate data into meaning for non-technical stakeholders
• High business acumen and intuition for sales metrics, conversion funnels, and lead performance indicators

Requirements

• Experience with data science or statistical techniques such as regression or correlation analysis
• Advanced skills in Python or R, including use of libraries for statistical analysis, data cleaning, and machine learning
• Understanding of CRM or lead management systems (Salesforce, Relcu, Total Expert, etc.)

Benefits

• Vacation — Vacation hours accrue on a per pay period basis. Balance maximums are based on years of service.
• Paid Sick Time — 40 hours of paid sick time after 90 days of employment. State sick time requirements will be added as needed.
• 9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday)
• Multiple PPO Medical Plans, as well as HDHP eligible plan.
• Dental Coverage
• Vision Coverage
• Company Paid Life Insurance
• 401K with a generous employer match
• Additional Benefits including – Optional Life, FSA, Pet Insurance etc.
• Free Legal Services
• Employee Loan Program