Product Analyst
Job in
Northern, Floyd County, Kentucky, USA
Listed on 2026-09-01
Listing for:
X0pa Ai
Full Time
position Listed on 2026-09-01
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Scientist, Business Systems & Technology Analysis
Job Description & How to Apply Below
Location: Northern
- Transform user behavior data into actionable product insights that drive growth, retention, and user experience improvements
- Bridge the gap between raw data and strategic product decisions by providing evidence-based recommendations to product managers and leadership
- Enable data-driven decision-making across product teams by identifying patterns, trends, and opportunities within product usage data
- Support the entire product lifecycle from discovery to post-launch optimization through comprehensive data analysis
- Validate product hypotheses through rigorous experimentation and statistical analysis to ensure resources are invested in high-impact features
- Improve product-market fit by deeply understanding user behavior, needs, and friction points across the customer journey
- Optimize key product metrics including activation, engagement, retention, and conversion rates through continuous measurement and iteration
- Establish and maintain a culture of analytical rigor and data literacy within product development teams
- Analyze user behavior data to identify trends, patterns, and insights that inform product strategy and development decisions
- Design, execute, and interpret A/B tests and multivariate experiments to validate feature changes and measure their impact on key metrics
- Build and maintain product analytics dashboards and reports that track KPIs such as DAU, MAU, retention curves, and conversion funnels
- Conduct deep-dive analyses to investigate product performance anomalies, user drop-off points, and engagement issues
- Collaborate with product managers to define success metrics, establish OKRs, and prioritize features based on data-driven insights
- Perform cohort analysis and user segmentation to understand different customer behaviors and identify growth opportunities
- Monitor product health through regular reviews of engagement metrics, activation rates, and retention patterns
- Work with engineering teams to ensure proper event tracking implementation and data quality across the product
- Conduct market research and competitive analysis to identify industry trends and benchmark product performance
- Create user personas and journey maps based on behavioral data to model customer interactions with the product
- Write SQL queries to extract and manipulate user-level data from product databases for detailed analysis
- Develop predictive models using Python or R to forecast user behavior, churn probability, and feature adoption
- Present findings and recommendations to stakeholders through clear visualizations and compelling data narratives
- Support product launches by establishing baseline metrics, monitoring adoption, and identifying early signals of success or failure
- Gather and synthesize customer feedback from multiple sources including surveys, interviews, and support tickets
Skills & Qualifications
- Bachelor's degree in Statistics, Computer Science, Economics, Business Analytics, Mathematics, or related quantitative field
- Advanced proficiency in SQL for querying databases, performing complex joins, and extracting user-level data
- Strong understanding of statistical concepts including hypothesis testing, significance testing, and experimental design
- Experience with product analytics platforms such as Mixpanel, Amplitude, Google Analytics, or similar tools
- Proficiency in data visualization tools like Tableau, Looker, Power BI, or similar business intelligence platforms
- Understanding of key product metrics including retention, churn, lifetime value, activation, and engagement
- Experience conducting A/B testing and interpreting results with statistical rigor
- Strong analytical and problem-solving skills with the ability to break down complex questions into structured analyses
- Excellent communication skills to translate complex data findings into clear, actionable insights for non-technical audiences
- Ability to work collaboratively with cross-functional teams including product managers, engineers, designers, and marketers
- Attention to detail and commitment to data accuracy and quality
- Understanding of product development processes and agile methodologies
- self-motivated with ability to manage multiple projects and prioritize effectively
Skills & Qualifications
- Master's degree in Data Science, Business Analytics, Statistics, or related quantitative field
- Programming skills in Python or R for statistical analysis, modeling, and automation
- Experience with event tracking implementation and data instrumentation tools like Segment
- Familiarity with data modeling, ETL processes, and data pipeline architecture
- Knowledge of machine learning techniques for predictive analytics and user behavior modeling
- Experience with experimentation platforms such as Optimizely or internal A/B testing frameworks
- Understanding of product frameworks like AARRR (Pirate Metrics), HEART, or North Star Metric methodology
- Previous experience in a product-led organization or SaaS environment
- Relevant certifications in data analytics, product management, or statistical…
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