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Jobgether

via Workable

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Senior Product Data Analyst (Remote - US)

Anywhere
full-time
Posted 10/16/2025
Direct Apply
Key Skills:
Data Analysis
Business Intelligence
SQL
Dashboard Building
A/B Testing
Python (desired)
Data Modeling
Product Analytics
Communication and Storytelling
Cross-functional Collaboration

Compensation

Salary Range

$127K - 152K a year

Responsibilities

Define and track product metrics, build dashboards, conduct advanced analyses and experiments, translate data insights into narratives, and collaborate cross-functionally to drive product strategy.

Requirements

Bachelor’s or Master’s degree in a quantitative field, minimum 4 years experience in data/product analytics, strong SQL and data modeling skills, experience with dashboards and A/B testing, knowledge of Python and machine learning desired, excellent communication and collaboration skills.

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Product Data Analyst in United States. We are seeking a data-driven Senior Product Data Analyst to help shape product strategy and drive measurable business impact. In this role, you will partner closely with Product, Design, and Engineering teams to define key metrics, build dashboards, and evaluate experiments that inform product decisions. You will conduct advanced analyses, translate insights into clear narratives, and guide decision-making with both quantitative and qualitative evidence. This role combines technical expertise, strategic thinking, and cross-functional collaboration in a fast-paced environment, contributing to the growth and efficiency of products while ensuring data integrity and actionable insights. Accountabilities Define, track, and report on key results (KRs) and driver KPIs for product initiatives. Build and maintain dashboards for real-time visibility into customer behavior and product performance. Conduct advanced analyses to uncover opportunities, inform product decisions, and optimize outcomes. Design, implement, and evaluate A/B tests and other experimentation frameworks. Translate technical data insights into compelling stories for both technical and non-technical stakeholders. Collaborate cross-functionally to align analytics priorities with business goals and product strategy. Ensure data integrity, quality, and governance throughout the analytics pipeline. Support data science initiatives and provide input into machine learning and modeling projects. Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. Minimum of 4 years’ experience in data analysis, data science, or product analytics roles. Strong proficiency in SQL and data modeling (e.g., dbt), with experience building dashboards in tools such as Tableau. Experience designing and measuring experiments, including A/B testing frameworks. Knowledge of Python and machine learning-based modeling is highly desired. Excellent communication and storytelling skills to translate insights for diverse audiences. Ability to collaborate effectively with cross-functional teams and influence technical and product decisions. Competitive salary range: $126,900—$151,800 USD (San Jose, CA). 100% paid employee health, dental, and vision plans with multiple options. Flexible Spending Account (FSA) and Health Savings Account (HSA). Life, long-term, and short-term disability coverage. Employee Assistance Program (EAP) and wellness initiatives. Paid holidays, vacation, and flexible wellness days. Employee Stock Purchase Program with discounts. Professional development opportunities and a collaborative work environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

This job posting was last updated on 10/18/2025

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