Product Data Analyst III
Invest Nebraska is a venture capital organization that provides financial and operational assistance to high-growth companies in Nebraska. It advances the state's entrepreneurial economy and attracts out-of-state capital to fund early-stage, product-market-fit companies across all industries.
About Invest Nebraska
Invest Nebraska builds a better future for Nebraska by providing financial and operational assistance to high growth companies, advancing the entrepreneurial economy, and attracting out-of-state capital to the state. Since 2002, Invest Nebraska has been a cornerstone of Nebraska's entrepreneurial ecosystem, investing in companies with early signs of product-market fit, with an average first check of $250k, across all industries, located in Nebraska. The organization has made 155+ high growth investments, helped raise $532.11M+ in follow-on capital, deployed $44.95M+ in capital, created 1,215+ jobs, matched $215M+ in private capital, and its portfolio companies have generated $545.85M+ in cumulative revenue. Invest Nebraska's team includes an experienced staff, dedicated board, and passionate partners committed to building world class businesses with Nebraska entrepreneurs. Its portfolio includes companies such as CompanyCam, Lifeloop, Ocuvera, Marble, BasicBlock, Workshop, and Nobl.
Skills
About the Role
You'll partner closely with Product Managers, Engineering, and Design to uncover insights that improve the customer experience, drive engagement, and support long-term retention. You'll play a key role in reinforcing continuous discovery by helping teams define success metrics, validate assumptions, measure experimentation outcomes, and use data to guide product strategy. You'll blend analytical rigor, experimentation, and stakeholder collaboration in a fast-paced SaaS environment. This is a remote position, and you must live and work permanently in the U.S. to be considered.
Requirements
- 2+ years of experience in product analytics, data analytics, or a related field
- Strong SQL skills and experience working with modern analytics tools such as dbt, Metabase, Amplitude, Secoda, or similar platforms
- Experience supporting product experimentation and A/B testing initiatives
- Strong analytical and problem-solving skills with the ability to turn complex data into actionable insights
- Experience building dashboards, reports, and data visualizations for business stakeholders
- Ability to communicate findings clearly across technical and non-technical audiences
- Comfortable working in a fast-paced, collaborative product environment
- Experience working closely with Product and Engineering teams in a SaaS environment
- Familiarity with cohort analysis, funnel optimization, and behavioral analytics
- Background in statistics, experimentation methodology, or quantitative analysis
Responsibilities
- Partner with Product Managers to define KPIs, measure success, and support continuous discovery practices
- Analyze product usage, customer behavior, and funnel performance to identify trends and opportunities
- Support experimentation and A/B testing efforts by measuring results and translating findings into actionable recommendations
- Build and maintain dashboards and reporting in tools such as Metabase and Amplitude
- Develop analyses that help teams improve product adoption, engagement, and retention
- Work with cross-functional teams to ensure consistent metric definitions and trusted reporting
- Leverage SQL, dbt, and analytics tools to transform and analyze product data
- Enable self-service analytics by training stakeholders on dashboards, reporting tools, and best practices
- Communicate complex findings clearly and effectively to both technical and non-technical audiences
- Help foster a culture of experimentation, curiosity, and data-driven decision-making across Product and Engineering teams
Benefits
- Equity