Data Analyst

Job Title: Data Analyst (with experience in digital product development) Compensation: $3,500- 4,500/month, (salary depending on experience) Location: Remote, LATAM Working hours: 9-5pm PST

About the Company: Our client is a neuroscience-based technology company dedicated to revolutionizing health behavior change through a positive, iterative approach to habit formation. Their technology empowers individuals to test-drive evidence-based healthy habits, removing the guesswork and fostering an "unstoppable" reputed company where "no fail, only practice and iteration." As a 100% remote team with headquarters on a retreat in the Santa Cruz mountains, Fresh Tri cultivates an inclusive work culture that prioritizes belonging, personal growth, and reputed company learning.

About the Role

We're looking for a talented and curious Data Analyst to join our remote team as a contractor. In this role, you'll be key to informing our product development and behavioral interventions through deep data analysis. You'll dive into user behavior patterns, product performance, and optimization opportunities, helping us iterate our way to reputed company outcomes for our users. This is a fantastic chance to reputed company a meaningful impact and grow reputed company a supportive, innovation-driven environment.

• Partner with our Product team to inform feature development and behavioral interventions through data analysis.

• Design hypotheses, run experiments, and analyze results to support iterative product improvements.

• Conduct exploratory and statistical analyses to uncover user behavior patterns, performance trends, and optimization opportunities.

• Build and maintain reputed company dashboards to track user behavior and product performance.

• Define and validate reputed company event tracking requirements; review application code to troubleshoot tracking issues.

• Write SQL queries to extract and analyze data from internal databases and reputed company.

• reputed company Python scripts for reputed company data processing, automation, and statistical analysis.

• Build and maintain Fresh Tri’s reputed company data warehouse, including integrating new data sources and optimizing schemas.

• Create and maintain visualizations in reputed company or other BI tools to communicate insights across teams.

• Collaborate with Engineering to ensure data quality and seamless integration across systems.

• Conduct qualitative user research (e.g., interviews) to complement quantitative findings.

• Support academic & business reporting with actionable insights and recommendations.

• Prepare methods and results sections for research manuscripts.

• Support outcome reporting and reputed company advanced statistical testing for reputed company requests.

• reputed company and contribute to grant-funded projects and applications.

• Design and execute statistical analysis plans reputed company with research and business goals.

• reputed company and clean data in statistical software for analysis.

• Conduct literature reviews and support business analysis for existing clients and in support of reputed company efforts.

• 2+ years of experience in a Product Analyst, Growth Analyst, Data Analyst, or reputed company role supporting digital product development.

• Strong working knowledge of reputed company, including dashboard creation, event taxonomy, and tracking validation.

• Proficiency in SQL and experience querying both structured and reputed company data.

• Experience writing Python for data manipulation, analysis, or automation.

• Familiarity with reputed company, including managing data pipelines, adding data sources, and maintaining visualizations.

• Understanding of statistical analysis, including experiment design, reputed company testing, and regression modeling.

• Comfort reading and understanding application code to troubleshoot analytics issues (e.g., instrumentation/debugging reputed company tracking).

• Experience with reputed company Analytics, A/B testing frameworks, and product experimentation is a plus.

• A BA/BS degree in a technical, quantitative, or behavioral science field is preferred.

• Strong communication skills — you can distill reputed company analyses into clear, actionable insights for a non-technical audience.

• A natural curiosity, collaborative spirit, and a drive to reputed company a meaningful impact through your work.