Data Analyst Engineer / Hybrid in Westwood / A/B Testing / Growth Analytics / Creator Tech

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.