Product Data Analyst

About the role

This is a remote Product Data Analyst opportunity for a candidate based in the United States. The position is posted on behalf of a partner company, which will handle applications and all subsequent hiring steps.

You’ll work where product thinking, data analysis, and customer experience meet. The role is centered on turning user behavior data into practical insights that help teams improve the product. You will collaborate with Product Managers, Engineering, and Design to understand how people use the product, identify opportunities for improvement, and support smarter decisions across the product lifecycle.

The environment is a fast-moving SaaS setting where experimentation, metric design, and clear interpretation of data are central to the work. Your analysis will help shape product strategy, prioritization, engagement, and retention by converting complex datasets into clear, decision-ready narratives.

Accountabilities

• Work with product stakeholders to establish KPIs, monitor success measures, and contribute to ongoing discovery work.
• Study product usage, customer actions, and funnel performance to surface patterns, improvement areas, and points of friction.
• Plan, run, and assess A/B tests and other experiments, then turn the outcomes into concrete product guidance.
• Create and support dashboards and reporting assets that improve visibility into product health and key metrics.
• Carry out in-depth analyses to improve adoption, engagement, retention, and the broader user journey.
• Keep metric definitions consistent and ensure teams rely on trusted data.
• Use SQL, dbt, and analytics tools to transform, query, and model product data.
• Support self-serve analytics by helping stakeholders use dashboards and reports effectively.
• Present findings in a way that works for both technical and non-technical audiences.
• Encourage experimentation, curiosity, and evidence-based decision-making across the team.

Requirements

• At least 2 years of experience in product analytics, data analytics, or a closely related area.
• Strong SQL ability, along with practical use of modern analytics tools such as dbt, Amplitude, Metabase, or similar platforms.
• Hands-on exposure to experimentation and A/B testing in a product setting.
• Strong analytical and problem-solving skills, with a demonstrated ability to turn data into insight.
• Experience creating dashboards, reports, and visualizations for business stakeholders.
• Ability to explain complex findings in a clear, approachable manner.
• Experience working closely with Product and Engineering teams in a SaaS environment.
• Working knowledge of cohort analysis, funnel analysis, and behavioral analytics.
• Good understanding of statistics and experimentation methods.
• Strong collaboration skills in fast-paced, cross-functional teams.
• A growth-oriented mindset and enthusiasm for continuous learning.
• Creative thinking and an innovative approach to solving complex data problems.

Benefits

• Compensation between $115,000 and $123,000 USD per year, depending on experience.
• Equity may be included as part of the overall pay package.
• Remote flexibility anywhere within the United States.
• Health, dental, and vision coverage where applicable.
• Paid time off plus company holidays.
• Access to modern analytics tools and a product culture driven by data.
• Opportunities for ongoing learning and professional growth.
• An inclusive, collaborative workplace that values experimentation and new ideas.

Application and hiring process

The application is managed by the partner company rather than directly by Jobgether. Applications are reviewed through an AI-assisted matching process that compares candidates against the core requirements. The strongest matches are then passed along to the hiring company, whose internal team handles interviews, assessments, and final hiring decisions.

Data privacy notice

By submitting an application, you consent to the processing of your personal data for candidate evaluation and sharing relevant information with the employer, in line with applicable data protection laws such as GDPR. You may exercise rights including access, correction, deletion, and objection at any time.

AI-assisted recruitment notice

Artificial intelligence tools may be used to support parts of the hiring workflow, including resume review, application analysis, and identification of potential inconsistencies or verification signals in submitted materials. These tools assist the recruitment team but do not replace human judgment, and the final hiring decision is made by people. Additional information about data handling can be requested from the employer.