LikeRemoteProduct Data Analyst (Academic Background)
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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 a100% 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 aProduct Analyst to join the team as a contractor. This role sits at the intersection ofproduct, 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 bothcommercial product development andacademic 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 maintainMixpanel dashboards to track user engagement and product health
Define and validate Mixpanel event tracking and troubleshoot instrumentation issues
Data Engineering & Analytics
WriteSQL to query internal databases andSnowflake
DevelopPython scripts for data processing, automation, and statistical analysis
Build and maintain Fresh Tri’sSnowflake 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
Conductqualitative 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 supportgrant-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 withMixpanel (dashboards, event tracking, taxonomy, validation)
Proficiency inSQL for structured and unstructured data
Experience usingPython for analysis, automation, or data processing
Experience withSnowflake, including pipelines, data sources, and visualizations
Solid foundation instatistics, including experiment design, hypothesis testing, and regression
Ability to read and understand application code for debugging analytics instrumentation
Experience withGoogle Analytics, A/B testing tools, and experimentation frameworks is a plus
Bachelor’s degree in atechnical, quantitative, or behavioral science field preferred
Strong communication skills — able to translate complex analysis into clear business insights
Curious, collaborative, and impact-driven