Description & Requirements

The Enterprise Intelligence (E&I) team transforms data into relevant insights that power EA. We guide strategy and governance, build data and AI solutions, and ensure personalization, experimentation and analytics; partner across teams to improve decisions and create more meaningful player experiences.

As the Senior Manager of Marketing Analytics, reporting to the Director, Data Science, you will occupy a critical, central vantage point managing a team of 6 analysts. This vantage point will guide the analytical strategy for user acquisition (UA) and retargeting across our vast portfolio of both Mobile and HD titles.

You are a master translator of data, someone who can look at complex performance metrics across diverse platforms and distill them into decision-ready narratives for executive leaders. While you won't manage data pipelines or engineering architecture, you have deep technical empathy and credibility. You know how to establish scalable analytical frameworks and operational processes that automate the mundane. This frees up your team of 6 analysts to focus on what they do best: driving, creative marketing strategies.

You will be the perfect intersection of strategic partnership, rigorous methodology design, and team development.

Main Responsibilities

Strategic Data Storytelling & Influence

• Guide the Narrative: Act as the primary strategic partner to Marketing and Portfolio leadership, translating complex UA, retargeting, and ROAS data into applicable recommendations.
• Establish the Standard: Set the bar for analytical rigor, experiment design, and data-driven business reviews, and improve marketing budgets across HD and Mobile.
• Dig Into the Weeds: Maintain the technical depth required to field high-stakes questions from leadership, explaining your team's models and methodologies.

Scalable Operations & Process Modernization

• Automate the Mundane: Design and strengthen scalable, repeatable analytics workflows and measurement frameworks that eliminate manual friction, ensuring you spend the team's time on high-value problems.
• Champion Modern Capabilities: Identify opportunities to use AI, machine learning, and advanced automation tools within the analytics workflow to increase team productivity and accelerate speed-to-insight.
• Collaboration: Partner with Data Engineering and MarTech teams to ensure the data ecosystem supports marketing analytics requirements without managing the underlying plumbing yourself.

People Leadership & Coaching

• Nurture Talent: Lead, coach, and inspire a high-performing team of 6 analysts, balancing professional growth with operational excellence.
• Enable Autonomy: Empower team members by creating standardized frameworks that allow them to operate independently across their respective title portfolios.

Qualifications

• Experience: [7-8+] years of progressive experience in analytics, data science, or performance marketing analytics, within gaming, mobile applications, or high-scale consumer digital products. [2-3+] years of experience managing data professionals, and influencing senior executives.
• Portfolio Expertise involves experience or deep familiarity with the mechanics of high-volume User Acquisition (UA). This expertise also includes retargeting, LTV modeling, and multi-channel attribution across different platforms (Mobile or Console/PC).
• Technical Credibility: Foundation in SQL, data visualization tools (e.g., Looker, Tableau), and statistical evaluation (A/B testing, experimentation frameworks). We value Python or R proficiency.
• The "Scale" Mindset: Experience with building processes and frameworks that scale, with an interest in using AI/LLMs or automated tools to maximize team efficiency.

Note on Core Philosophy: We believe the best analysts shouldn't spend their days fighting formatting or repeating basic queries. We are looking for a leader who values operational efficiency just as much as deep strategic insights, ensuring our team is always focused on the most engaging, work.

Pay Transparency - North America

COMPENSATION AND BENEFITS

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

PAY RANGES

* California (depending on location e.g. Los Angeles vs. San Francisco) *$165,000 - $256,000 USD

Pay is just one part of the overall compensation at EA.

In the US, we offer a package of benefits including paid time off (3 weeks per year to start), 80 hours per year of sick time, 16 paid company holidays per year, 10 weeks paid time off to bond with baby, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) to regular full-time employees. Certain roles may also be eligible for bonus and equity.

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LinkedInID

1449