Product Operations Analyst (Data & Insights)

The Inmar Product Operations Analyst (Data & Insights) analyzes product performance, customer behavior, and business metrics to produce actionable insights that guide strategy, efficiency, and growth.

Responsibilities

• Support the development of product strategy and long‑term objectives through data‑driven insights and performance analyses.
• Examine product usage, feature adoption, customer behavior, and performance trends to identify opportunities and risks.
• Partner with Product Managers to deliver insights that inform roadmap prioritization and strategic decisions.
• Translate complex datasets into clear insights and actionable recommendations for product leadership and stakeholders.
• Define, track, and report KPIs related to product effectiveness, customer experience, growth, and operational health.
• Write and execute queries on large datasets to support ongoing analysis and ad hoc business questions.
• Create and maintain dashboards and reporting frameworks to provide visibility into product performance.
• Monitor product and operational performance to proactively identify issues affecting adoption, retention, and profitability.
• Deliver regular reporting and insights to stakeholders, highlighting trends, risks, and actionable recommendations.
• Support a culture of experimentation by designing, measuring, and interpreting A/B and multivariate tests.
• Ensure analytical rigor in experimentation and clearly communicate results and implications.
• Identify opportunities to improve product operations processes, data quality, and reporting efficiency.
• Stay current on industry best practices in product analytics, experimentation, and data tooling.
• Collaborate cross‑functionally to drive continuous improvement across the product development lifecycle.

Requirements

• Bachelor’s degree in Business, Data Analytics, Computer Science, Statistics, or a related field.
• 2–4+ years of experience in product analytics, business intelligence, or a related analytical role.
• Strong proficiency in querying large datasets with SQL.
• Experience with BI and analytics tools such as Power BI, Looker, Tableau, or similar.
• Experience designing and analyzing A/B or multivariate experiments.
• Familiarity with Agile product development methodologies.
• Experience aligning analytics with OKRs, planning processes, and operational reporting.
• Exposure to data modeling, Python, R, or advanced statistical techniques is a plus.
• Experience in SaaS, technology, or platform‑based organizations preferred.
• Analytical thinking: ability to interpret complex data and translate it into actionable business insights.
• Communication: excellent written and verbal communication with the ability to influence stakeholders.
• Collaboration: capable of working cross‑functionally and building relationships across product, engineering, and business teams.
• Problem‑Solving: proactively identifies issues and opportunities with focus on measurable outcomes.
• Adaptability: thrives in a fast‑paced, dynamic environment with evolving priorities.

Technologies

• SQL
• Power BI
• Looker
• Tableau
• Python
• R

Benefits

• Medical, Dental, and Vision insurance
• Basic and Supplemental Life Insurance options
• 401(k) retirement plans with company match
• Health Spending Accounts (HSA/FSA)
• Flexible time off and 11 paid holidays
• Family-building benefits including Maternity, Adoption, and Parental Leave
• Tuition Reimbursement and certification support
• Wellness and Mental Health counseling services
• Concierge and work/life support resources
• Adoption Assistance Reimbursement
• Perks and discount programs

As an Inmar Associate

• Contribute to impactful, data driven product decisions that improve customer outcomes and business performance.
• Develop advanced analytical and product operations skills with opportunities for career growth.
• Collaborate with cross‑functional teams to drive innovation, efficiency, and continuous improvement across the organization.

Physical Demands

• Regularly required to operate a computer and participate in virtual and in‑person meetings.
• Occasionally required to move or lift up to 25 pounds.

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