Product Operations Analyst (Data & Insights)

Inmar Intelligence•Winston-Salem, NC

About The Position

As a Product Operations Analyst (Data & Insights) within our Product Organization, you will play a critical role in enabling data-driven decision-making across the product lifecycle. This role focuses on analyzing product performance, customer behavior, and business metrics to generate actionable insights that inform product strategy, operational efficiency, and growth. You will partner cross functionally to ensure alignment between product performance and business objectives. This role requires a strong foundation in analytics, business acumen, and the ability to translate complex data into clear, compelling insights. This position offers the opportunity to build expertise in product analytics, experimentation, and strategic planning while contributing to a fast-paced, continuously improving product organization.

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 (e.g., 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.
Analytical Thinking: Strong ability to interpret complex data and translate it into actionable business insights.
Communication: Excellent written and verbal communication skills, with the ability to influence stakeholders.
Collaboration: Ability to work cross-functionally and build strong relationships across product, engineering, and business teams.
Problem-Solving: Proactively identifies issues and opportunities, with a focus on measurable outcomes.
Adaptability: Thrives in a fast-paced, dynamic environment with evolving priorities.
Regularly required to operate a computer and participate in virtual and in-person meetings.
Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.

Nice To Haves

Exposure to data modeling, Python, R, or advanced statistical techniques is a plus.
Experience in SaaS, technology, or platform-based organizations preferred.
Occasionally required to move or lift up to 25 pounds.

Responsibilities

Support the development of product strategy and long-term objectives through data-driven insights and performance analysis.
Analyze product data on usage, feature adoption, customer behavior, and performance trends to identify opportunities and risks.
Partner with Product Managers to provide insights that support roadmap prioritization and strategic decision-making.
Translate complex datasets into clear insights and recommendations for product leadership and stakeholders.
Define, track, and report on key performance indicators (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.
Develop and maintain dashboards and reporting frameworks to provide visibility into product performance.
Monitor product and operational performance to proactively identify issues impacting 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.