Data and Analytics - Data Analyst

Data Analyst

Business Technology – Data Analytics | WoodmenLife
Location: Hybrid (Omaha, NE) must be in OMAHA
Reports To: Manager Data Analytics

Why You’ll Love This Role

WoodmenLife is seeking a Data Analyst who is passionate about transforming data into meaningful insights that drive business outcomes. This role is highly collaborative and impactful, supporting strategic decision making across the organization by uncovering trends, improving data quality, and delivering actionable recommendations.


You’ll work with a modern data stack including Power BI, Snowflake, and Azure technologies while partnering closely with key business areas such as Actuary, Finance, HR, Marketing, and Fraternal teams.

This position is ideal for someone who enjoys storytelling with data, solving complex problems, and acting as a trusted advisor to business stakeholders. You’ll have the opportunity to influence how data is used across the enterprise while continuing to grow your technical and analytical skillset.

At WoodmenLife, you’ll also benefit from a collaborative team environment, meaningful work that impacts the organization, and opportunities for long-term career growth into senior analytics or data engineering roles.

About the Team

The Data Analyst is part of Business Technology Data Analytics and collaborates closely with the Data Governance and Data Services teams.This team focuses on ensuring high-quality, trusted data across the enterprise while building reporting, analytics, and insights that support business strategy. The role acts as a bridge between technical data teams and business stakeholders, helping translate data into value.

Role Summary

The Data Analyst serves as a liaison between Business Technology and business divisions within WoodmenLife, helping the organization better utilize data and data-driven workflows.

This role is responsible for analyzing large datasets, building dashboards and reporting solutions, and providing actionable insights that support decision-making. The Data Analyst also promotes best practices in data governance, improves data quality, and helps drive a data-first culture across the organization.

What You’ll Do

Data Analytics & Insights

Analyze large and complex datasets to identify trends, patterns, and opportunities

Translate data findings into clear, actionable insights and recommendations

Support data-driven decision-making across business units

Discover impactful insights critical to organizational success

Data Visualization & Reporting


Design, develop, and maintain Power BI dashboards and reports

Present insights to stakeholders through compelling data storytelling

Ensure data accuracy, consistency, and usability across reporting solutions

Data Management & Optimization

Build and manage datasets for analysis and reporting

Identify opportunities to improve product and process efficiency

Develop models to test the effectiveness of different business strategies

Troubleshoot data issues and resolve business data challenges

Collaboration & Stakeholder Engagement

Partner with Actuary, Finance, HR, Marketing, and Fraternal teams

Act as a trusted advisor for analytics, insights, and data visualization

Support ad-hoc analysis requests and strategic initiatives

Coordinate with Data Services and reporting teams to operationalize analytics

Data Governance & Continuous Improvement

Support Data Governance Steering Committee initiatives

Advocate for data best practices and improve data quality

Work with Data Stewards to ensure consistent and reliable data usage

Help foster a data-driven culture across WoodmenLife

Tools & Technologies

Power BI


Snowflake

SQL / SQL Server Management Studio (SSMS)

Project Management Tools (e.g., Azure DevOps)

Microsoft Excel and PowerPoint

What You Bring

Minimum Qualifications

Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, Finance, Business Administration or related field

3–5 years of experience as a Data Analyst

Experience gathering requirements

Strong proficiency in SQL, Power BI (or Tableau), Excel, and PowerPoint

Strong analytical, problem-solving, and communication skills

Ability to manage multiple projects and meet deadlines

Preferred Qualifications

Experience in financial services or insurance industry

Strong understanding of data governance and data quality practices

Scope & Impact

Act as a key liaison between technical and business teams

Influence decisions through data-driv