Senior Product Manager - Business Intelligence & Analytics

Govini•Arlington, VA

1d•Onsite

About The Position

Govini is looking for a data-driven storyteller to join our Product Team as the Product Manager for Business Intelligence & Analytics. In this role, you won't just be crunching numbers; you’ll be the bridge between raw event logs and the strategic decisions that shape our product. As a fast-growing company, our data environment is evolving. You’ll have ownership over our reporting methodology, influence the product roadmap, and ensure we never fly blind. You’ll have a direct hand in defining how we measure success and will see your insights turn into shipped product features. In order to do this job well, you must be analytical, understand user behavior, have a passion for investigating databases, have a skill for defining metrics that gauge success and identify opportunities, and want to learn everything about our users, our product, and our data. We value curiosity and the ability to "figure it out" - if you love digging into a messy dataset to find a hidden narrative, we want to talk to you. This is a full-time team member position, working in our offices at our Arlington, VA, or Pittsburgh, PA location. This role may require up to 25% travel.

Requirements

U.S. Citizenship is required
Bachelor’s Degree in Business Administration, Business Analytics, Economics, Mathematics, Computer Science, Data Science, or similar fields, or 1-4 years of equivalent experience
3-5 years of relevant experience, including undergraduate or graduate roles or internships, performing product-related analytics; preference for research, quantitative analysis, data manipulation, and data visualization skills
Expert in SQL and familiarity with Python and GitLab/GitHub
Familiarity with data models and building and handling large-scale and complex aggregations
Experience with BI tools and product analytics tools (specifically Grafana and Mixpanel)
An understanding of the SaaS business model and how user engagement translates into long-term retention
Outstanding listening, verbal, and written communication skills
The ability to translate complex data findings into "so what?" insights for stakeholders at all levels
Excellent professional demeanor with a willingness to work outside of your comfort zone in a fast-paced environment without hesitation
Strong aptitude for solving open-ended issues in unpredictable, unstructured environments
Ability to manage multiple work-streams and projects, learn quickly, and work independently with little supervision

Nice To Haves

Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
Experience in or around DoD
Experience in or exposure to the nuances of a startup or other entrepreneurial environment

Responsibilities

Design, build, and optimize automated dashboards that track core SaaS metrics (MAU/DAU, Retention, Churn, and Feature Adoption) in addition to more specific feature engagement metrics. You’ll ensure our "source of truth" is accurate, performant, and easy for non-technical stakeholders to navigate
Write and maintain SQL queries to support reporting, ad-hoc analysis, migration validation, and data quality checks
Partner with Product, Engineering, and Go-to-Market (GTM) Teams to translate reporting requirements into clear, accurate, and maintainable analytics outputs
Develop an opinion on how the data we record for metrics is structured and captured in the database
Perform data validation and reconciliation to ensure accuracy and consistency
Look beyond the "what" to find the "why." You will analyze user behavior patterns to provide the Product and GTM teams with evidence-based recommendations on feature development and user friction points
Identify "dark spots" in our user journey where data isn't being captured. You will write technical instrumentation requirements for our engineering team to ensure we are collecting the right events at the right time
Help identify data quality issues, inconsistencies, or reporting gaps and escalate findings with clear context and proposed next steps
Act as a subject matter expert for the deployment teams and other PMs, helping them define KPIs and interpret data to improve the overall customer lifecycle
Create and maintain clear, structured documentation for datasets, reports, migration steps, validation results, and known data caveats