Product Data Analyst (Academic Background)
Agent · Remote · Mexico · Nicaragua · Brazil · Colombia · Argentina ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (LATAM)
- Contractor role
- Mixpanel + SQL + Python
- Snowflake experience
- Behavioral science focus
Join a remote team transforming health behavior change through evidence-based habit formation. As a Product Analyst, you will bridge product development, data engineering, and behavioral science to drive smarter decisions and better health outcomes.
You will collaborate with Product, Engineering, and Research teams to analyze user behavior, manage data infrastructure, and support both commercial products and academic research initiatives.
What you'll do
- Partner with Product to inform feature development using data insights
- Design hypotheses, run experiments, and analyze results
- Build and maintain Mixpanel dashboards for user engagement tracking
- Define and validate event tracking and troubleshoot instrumentation
- Write SQL queries for internal databases and Snowflake
- Develop Python scripts for data processing and automation
- Maintain Snowflake data warehouse including schema design
- Conduct qualitative user research like interviews
- Write methods and results sections for research manuscripts
- Perform advanced statistical testing and analysis plans
What you'll need
- 2+ years in Product, Growth, or Data Analytics
- Strong experience with Mixpanel dashboards and event tracking
- Proficiency in SQL for structured and unstructured data
- Experience using Python for analysis or automation
- Experience with Snowflake pipelines and visualizations
- Solid foundation in statistics and experiment design
- Ability to read application code for debugging analytics
- Bachelor’s degree in technical or behavioral science field
- Strong communication skills for translating complex analysis
Nice to have
- Experience with Google Analytics
- Familiarity with A/B testing tools
- Knowledge of experimentation frameworks
Stack
- Mixpanel
- SQL
- Python
- Snowflake
- Google Analytics
How you'll work
- Fully remote within LATAM
- Monday to Friday schedule
- 9:00 AM – 5:00 PM PST working hours
- Contractor employment status