Financial Data Products Developer

Mutual of Omaha Insurance Co.; United States; Hybrid; USD 76,000 - 97,000; Full time

Benefits offered by this job

401(k) plan with company contribution

Paid vacation and holidays

Bonus opportunity

Job summary

Mutual of Omaha Insurance Co. seeks a Data Products Developer to advance financial data products, focusing on discovery, curation, and semantic modeling.

You will collaborate with Finance, Actuarial, and IS partners to deliver reliable data solutions that empower business users with accurate insights. Ideal candidates bring SQL/data analytics expertise, Python or R skills, and a track record of implementing scalable data pipelines.

Qualifications

• Strong foundation in SQL and data analysis; Python or R for data transformation.
• Ability to learn new tech, troubleshoot data issues, and improve processes.
• Clear communication; document requirements for technical and non-technical audiences.
• Highly organized and analytical with structured problem-solving.

Responsibilities

• Supports development and maintenance of financial data products, including data discovery, curation, semantic model updates, testing, deployment support, and post-deployment troubleshooting.
• Collaborates with stakeholders, Finance and Actuarial users, IS partners, and team members to understand requirements and ensure solutions meet business needs.
• Contributes to modernization by improving model performance, data controls, and repeatable logic; supports adoption of analytics tools.
• Follows team standards for documentation, version control, validation, access/security, automation, deployment readiness, and backup coverage.
• Contributes to reliable, scalable, and consumable data solutions aligned with company mission.

Skills

SQL

Data analysis

Python

R

Communication

Organization

Tools

Power BI

SSAS

Power Pivot

Excel connected reports

Semantic modeling

Snowflake

GitHub

Deployment pipelines

Governance

Job description

Come join the Financial Analytics & Data Strategy (FADS) team at Mutual of Omaha! This dynamic team is responsible for activating the vision that empowers internal financial data consumers throughout the enterprise with easy access to trusted data. By curating data and enabling contemporary data consumption tools our business partners have accelerated the time to action, decision-making and analysis to help achieve our company mission: help our customers protect what they care about and achieve their financial goals. The impact of this team to date has been so powerful that there is now a critical need for an experienced Data Products Developer to further evolve our data landscape by expanding the development of holistic and consumable data products. Be a part of a fun, collaborative team committed to transformation at a stable Fortune 500 company!

What we can offer you:

• Estimated Salary:
  • Financial Data Products Developer (Internal Title: Business Intelligence Developer): $75,500-$97,000, plus annual bonus opportunity.
• 401(k) plan with a 2% company contribution and 6% company match.
• Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
• Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

What you'll do:

• Supports the development and ongoing maintenance of financial data products, including data discovery, data curation, semantic model updates, testing, deployment support, and post-deployment troubleshooting.
• Works with stakeholders, Finance and Actuarial users, IS partners, and team members to understand requirements, validate results, document decisions, and ensure solutions meet business needs.
• Contributes to modernization efforts by helping improve model performance, strengthen data controls, organize repeatable logic, and support users as they adopt modern analytics tools and processes.
• Follows established team standards for documentation, version control, validation, access/security practices, automation, deployment readiness, and backup coverage.
• Contributes to organizational goals by supporting reliable, scalable, and consumable data solutions; continuing to learn; and aligning with the company’s mission, vision, and values.

What you'll bring:

• Strong technical foundation in SQL and data analysis, with experience using programming or scripting languages such as Python, R, or similar tools to support data transformation, automation, validation, and reporting.
• Demonstrated ability to learn new technologies, troubleshoot data issues, and support process improvements that increase reliability, efficiency, and business value.
• Strong communication and collaboration skills, including the ability to understand business needs, document requirements, and explain technical concepts clearly to both technical and non-technical audiences.
• Highly organized and analytical, with a structured approach to problem-solving, documentation, validation, stakeholder follow-up, and managing priorities.
• For individuals residing within 50 miles of the office location, onsite attendance is currently expected one day per week and is expected to increase to three days per week when the new office opens in 2027.
• Local Finance Operations Division employees are expected to be in the office for key business activities and critical in-person events, as determined by their manager.

Promotes a culture of diversity and inclusion, values different ideas and opinions, and listens courageously while remaining curious in all that you do.

Preferred:

• Experience developing or supporting data products, including data discovery, curation, validation, controls, reporting, and user adoption.
• Experience with semantic modeling and business intelligence tools such as Power BI, SSAS, Power Pivot, Excel connected reports, and related platforms used to build, deploy, and support analytical solutions.
• Experience with Python or similar automation tools for data manipulation, testing, documentation support, refresh processes, or repeatable workflow automation.
• Experience using AI-enabled tools to support development, documentation, testing, data analysis, or productivity improvements.
• Background in data architecture, dimensional modeling, Snowflake, GitHub, deployment pipelines, governance, or production support practices that contribute to scalable and well-controlled analytical solutions.

We value unique experience, skills, and passion for innovation.

If you have questions about your application or the hiring process, email our Talent Acquisition area at [e-mail]. Please allow at least one week from time of applying if you are checking on the status.

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