Product Data Analyst (Academic Background)

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