Data Analyst Engineer / Hybrid in Westwood / A/B Testing / Growth Analytics / Creator Tech
Los Angeles, California
Full Time
$120k - $130k
Our client, a Next-Generation Creator Platform disrupting the social media landscape, is exclusively partnering with us to find their next high-impact team member in Los Angeles, CA. This is a well-funded, full-time opportunity to join a company redefining the creator economy. We are sourcing a Full-Time Data Analyst with a strong engineering skillset to leverage their modern Python, SQL, and cloud-based data stack.
The core value proposition is the direct strategic influence you will have on the product roadmap and creator economics: your insights will shape features affecting millions of users. We are seeking an entrepreneurial and analytical mind, ready to own the end-to-end data lifecycle, from A/B test design to executive strategy. This role offers accelerated career growth, deep expertise in experimentation and predictive analytics, and a culture recognized for respecting work-life boundaries.
Required Skills & Experience
- Expert proficiency in SQL (writing complex, performant queries).
- Strong experience designing, launching, and analyzing A/B tests (experimentation).
- Fluency in a scripting language for data manipulation and analysis, preferably Python (Pandas, NumPy).
- Proven ability to translate business questions into analytical frameworks and measurable KPIs.
- Experience in Growth/Marketing Analytics (CAC, LTV, attribution models).
Desired Skills & Experience
- Experience with a modern data stack (e.g., Snowflake, BigQuery, Databricks).
- Familiarity with creator economy metrics (e.g., TPV, ARPU, creator earnings).
- Experience building and maintaining data visualization dashboards (e.g., Looker, Tableau, Mode).
- Basic data engineering skills (ETL/ELT processes and data modeling).
- Prior experience in a high-growth consumer technology, social media, or e-commerce company.
What You Will Be Doing Tech Breakdown
- 40% SQL & Python
- 40% Experimentation Platforms & Data Visualization Tools
- 20% Cloud Data Warehouse (e.g., Snowflake/BigQuery)
Daily Responsibilities
- 60% Hands On (Writing code, building models, and dashboards)
- 20% Management Duties (Planning work, documenting, quality checks)
- 20% Team Collaboration (Meetings with Product, Marketing, and Engineering)
Product & Experimentation
- Design, launch, and analyze A/B tests to improve product features and user flows.
- Define success metrics and evaluate funnels for key product features.
- Report product usage and user behavior insights weekly.
Growth & Marketing Analytics
- Track CAC, LTV, conversion rates, referrals, and campaign ROI.
- Attribute traffic by channel, campaign, and creator.
- Support paid marketing and SEO performance analysis.
Creator & Retention Intelligence
- Analyze creator posting, earnings, and engagement trends.
- Flag at-risk creators and recommend retention actions.
- Build tools for Creator Ops (health scores, dashboards).
Strategic Leadership Insights
- Define and track core KPIs (TPV, ARPU, Churn, etc.).
- Deliver executive-level dashboards and insight packs.
- Run quarterly “state of the business” data reviews.
The Offer
You will receive the following benefits:
- Medical, Dental, and Vision Insurance
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.