Product Data Analyst (Academic Background)

Job description

**Job Title:** Product Analyst (Academic Background) **Location:** Remote (LATAM) **Working Hours:** Monday to Friday, 9:00 AM – 5:00 PM PST **Compensation:** $3,500 – $4,500 USD/month (based on experience) ## **About the Company** Our client is a neuroscience-based technology company focused on transforming health behavior change through a positive, iterative approach to habit formation. Their platform enables users to test evidence-based healthy habits in real time — eliminating guesswork and fostering a mindset of continuous improvement. Our client operates as a **100% remote team**, headquartered on a retreat in the Santa Cruz mountains, and is deeply committed to belonging, personal growth, and lifelong learning. ## **About the Role** We are hiring a **Product Analyst** to join the team as a contractor. This role sits at the intersection of **product, data, and behavioral science**. You will analyze user behavior, product performance, and experimental results to drive smarter product decisions and better health outcomes. You’ll collaborate closely with Product, Engineering, and Research teams, contributing to both **commercial product development** and **academic research initiatives**. ## **Key Responsibilities** ### **Product & Data Analytics** - Partner with Product to inform feature development and behavioral interventions through data - Design hypotheses, run experiments, and analyze results - Conduct exploratory and statistical analyses to uncover user behavior patterns and performance trends - Build and maintain **Mixpanel dashboards** to track user engagement and product health - Define and validate Mixpanel event tracking and troubleshoot instrumentation issues ### **Data Engineering & Analytics** - Write **SQL** to query internal databases and **Snowflake** - Develop **Python scripts** for data processing, automation, and statistical analysis - Build and maintain Fresh Tri’s **Snowflake data warehouse**, including schema design and data ingestion - Create and maintain BI visualizations for stakeholders - Partner with Engineering to ensure data quality and pipeline reliability ### **Research & Reporting** - Conduct **qualitative user research** (e.g., interviews) to complement quantitative data - Support academic and business reporting with actionable insights - Write methods and results sections for research manuscripts - Perform advanced statistical testing for ad hoc analysis - Lead or support **grant-funded projects** and applications - Design and execute statistical analysis plans - Clean, merge, and prepare datasets for analysis - Conduct literature reviews and support commercial and client research ## **Requirements** - **2+ years** in Product Analytics, Growth Analytics, Data Analytics, or a similar role supporting digital products - Strong experience with **Mixpanel** (dashboards, event tracking, taxonomy, validation) - Proficiency in **SQL** for structured and unstructured data - Experience using **Python** for analysis, automation, or data processing - Experience with **Snowflake**, including pipelines, data sources, and visualizations - Solid foundation in **statistics**, including experiment design, hypothesis testing, and regression - Ability to read and understand application code for debugging analytics instrumentation - Experience with **Google Analytics**, A/B testing tools, and experimentation frameworks is a plus - Bachelor’s degree in a **technical, quantitative, or behavioral science** field preferred - Strong communication skills — able to translate complex analysis into clear business insights - Curious, collaborative, and impact-driven