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Product Data Analyst (Academic Background)

Agent

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

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

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

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

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