Role Overview
Trafilea is hiring a mid-level Data Analysis Specialist. This is a full-time role in CA. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score
Job Description
Conduct deep-dive analyses on retention, repeat rate, churn, cohorts, LTV, and lifecycle KPIs
Analyze customer behavior across the funnel (first purchase → repeat → loyal customer)
Perform exploratory data analysis (EDA) to answer ad-hoc retention and lifecycle questions
Identify drivers of churn and loyalty, delivering root-cause analysis with actionable recommendations
Design and analyze A/B tests and lifecycle experiments (email, SMS, loyalty, offers, timing)
Support incrementality measurement for retention initiatives and CRM campaigns
Create Python/SQL scripts to automate recurring retention and cohort reporting
Build scalable data pipelines for customer lifecycle metrics
Develop QA processes to ensure accuracy and consistency in customer-level data
Translate retention and lifecycle business questions into technical analyses
Present insights clearly to non-technical stakeholders (CRM, Marketing, Growth, Finance)
Collaborate with BI, Growth, and Lifecycle teams to define metrics and dashboards
Proactively surface insights that improve customer experience and long-term value
Document retention methodologies, analyses, and models
Help establish analytical standards for retention and customer insights
We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
- ##We invest in AI and automation like few others in eCom.
- ##We test fast, grow fast, and help you do the same.
- ##100% Remote, USD competitive salary, paid time off, and more.
Technical Skills (Must Have)
Advanced SQL: Complex queries, CTEs, window functions; experience with data warehouses (BigQuery, Snowflake, Redshift)
Python for Analytics: Regression, cohort analysis, time-series forecasting, hypothesis testing
Data Visualization: experience with BI tools (Looker, Tableau, Power BI, etc.)
Technical Skills (Nice to Have)
Experience with CRM or lifecycle channels (Email, SMS, Push, Loyalty programs)
A/B testing and experimentation frameworks for retention initiatives
Translate customer data into clear business narratives
Strong understanding of unit economics and LTV impact
Works cross-functionally with Growth, CRM, Product, and BI
High standards for data quality, documentation, and reproducibility
Frequently Asked Questions
How do I apply for the Data Analysis Specialist position at Trafilea?
Use the Apply button above to submit your application directly to Trafilea. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Analysis Specialist position at Trafilea located?
This position is based in CA. Trafilea has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Analysis Specialist at Trafilea earn?
Trafilea has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Analysis Specialist role at Trafilea posted?
This role was posted on April 21, 2026 (48 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
AI-powered job search
Get every job scored to your resume
Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.
Get Started FreeNo credit card to start