Motion Recruitment
Product Data Analyst / Hybrid in Westwood / A/B Testing / Growth Analytics / Cre
Motion Recruitment, Los Angeles, California, United States, 90079
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.
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.
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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.
#J-18808-Ljbffr