Product Manager – Pay Analytics
beqom
full-time
Posted on:
Location Type: Remote
Location: Ireland
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About the role
- Execute and deliver on the roadmap for features across our Pay Analytics application.
- Translate complex analytical concepts and statistical outputs into intuitive user interfaces and clear actionable insights for technical and non-technical users.
- Write clear and concise product requirements, user stories, specifications, and acceptance criteria (Jira is your friend!).
- Collaborate closely with engineering and design teams throughout the development lifecycle to ensure features are built to specification and meet user needs.
- Manage the product backlog, prioritize features, and make trade-off decisions based on user value, business goals, and technical feasibility.
- Define and analyze key product metrics to measure success, inform future iterations, and demonstrate value.
- Work with the Product Manager and clients to prioritize what makes sense for our SaaS offering given the broader context.
Requirements
- Bachelor's or Master’s degree in a scientific, technical, or quantitative field (e.g., Hard sciences, Computer Science, Engineering, Finance, Economics, Statistics)
- A minimum of 5 years of experience in a Product Management or Product Owner role ideally with proven experience in needing a technical understanding to make decisions.
- Applied experience on statistics and statistical modelling
- Proven track record of defining product requirements and delivering a product roadmap within an engineering team.
- Experience in a client-facing role, with the ability to manage stakeholder expectations and handle challenging conversations.
- Excellent analytical and problem-solving skills.
- Experience in the HR Technology (HR Tech) space, particularly with compensation, analytics, or pay equity solutions (Desirable, but not essential).
- A statistics degree or a degree involving courses in statistics (Desirable, but not essential).
- Knows concepts of multivariate regression modelling, the core assumptions, typical tests and analysis, and statistics behind the calculation of coefficients and significance. (Desirable, but not essential).
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
product managementproduct ownerstatistical modelingproduct requirementsuser storiesacceptance criteriaanalyticsmultivariate regression modelingdata analysisSaaS
Soft Skills
analytical skillsproblem-solvingstakeholder managementcommunicationcollaborationprioritizationtrade-off decision makinguser-centric thinkingadaptabilityclient-facing skills
Certifications
Bachelor's degreeMaster's degreestatistics degree