Senior Data Analyst

MobilityWare, LLC.

Los Angeles (CA)

On-site

USD 135,000 - 165,000

Full time

3 days ago

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Benefits offered by this job

Medical 100% paid

Dental 100% paid

Vision 100% paid

Unlimited PTO/Vacation

Life insurance 100% paid

401K with competitive contribution

Annual all-inclusive company trip

Free lunch

Free snacks

Free drinks

Casual workplace with a relaxed dress

Job summary

MobilityWare in Los Angeles, onsite, seeks a Senior Analyst to lead data-driven decisions for games. You will design A/B tests, analyze player behavior, and build AI-enabled analytics workflows to partner with Product, Ad Serving, Marketing, and Game Design.

You will define KPIs, create dashboards, and translate insights into actionable business recommendations for leadership.

Qualifications

BA/BS in Math, Statistics, CS, Economics or quantitative field.
4+ years in product or data analytics with 1+ year at a senior level.
Advanced SQL for querying large datasets from multiple sources.
Experience with Python or R for analysis and modeling.
Strong grasp of experimental design and statistics.
Ability to tie analysis to business strategy and leadership decisions.
Proactive, able to identify opportunities beyond requests.
Experience using AI/LLM tools to automate analytics workflows.
Experience mentoring junior analysts or non-technical partners.
Collaborates with data engineering, product engineering, and marketing.

Responsibilities

Design, analyze, and interpret A/B tests for game features and monetization.
Lead strategic analyses of player behavior and game systems to inform roadmaps.
Build AI-powered self-serve agents and workflows for analytics efficiency.
Define KPIs and create dashboards across player types and systems.
Write tracking specifications with designers and engineers.
Prioritize data requests and balance quick-turn vs high-impact work.
Mentor analysts and present insights to leadership.

Skills

Analytics leadership

4+ years experience

1+ year senior level

AI/LLM workflow automation

Mentoring junior analysts

Cross-functional collaboration

Business strategy linkage

Opportunity discovery

Education

BA/BS in Math, Statistics, CS, Economics or quantitative field

Tools

SQL

Python

Job description

At MobilityWare, you’ll help drive analytics for multiple key games, turning complex product questions into experimentation plans and data-backed strategy. This Los Angeles, CA onsite role pairs end-to-end ownership with cross-functional collaboration across Product Management, Ad Serving, Marketing, and Game Design. You’ll play a key part in improving retention, engagement, and ARPDAU while building analytics capabilities that make teams faster and more independent.

What you’ll do

Design, analyze, and interpret A/B tests for game features and monetization strategies, translating findings into clear recommendations that improve retention, engagement, and ARPDAU.
Lead strategic analyses of player behavior and game systems to uncover growth opportunities and inform the product roadmap.
Build AI-powered self-serve agents and workflows so game teams can answer common data questions on their own and help increase analytics efficiency.
Define KPIs and create dashboards that track game performance across player types, game systems, and player experience.
Write tracking specifications with designers and engineers so new features are measurable from day one.
Help prioritize data requests for supported games, balancing quick-turn asks with higher-impact work.
Mentor junior analysts and product partners on experimental design, analysis, and interpreting data, and present insights and business impact to stakeholders and leadership.

What you bring

BA/BS in Math, Statistics, Computer Science, Economics, or another quantitative field.
4+ years in product or data analytics, including 1+ years at a senior level, preferably in tech or gaming.
Advanced SQL for querying and analyzing large, complex datasets from multiple sources.
Experience with Python or R for analysis and modeling (including regression, clustering, and forecasting).
A strong grasp of experimental design and statistics.
Ability to connect analysis to business strategy and deliver actionable recommendations to leadership.
A track record of proactively finding opportunities beyond assigned requests.
Experience using AI/LLM tools to automate analytics workflows or enable self-serve insights.
Experience mentoring junior analysts or teaching data best practices to non-technical partners.
Experience working with data engineering, product engineering, and marketing.
Nice to have: experience in the gaming industry, particularly mobile gaming.