Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
\nWe're seeking an experienced and driven technical analyst to support the development of reporting and measurement tools within the Insights & Measurement team in EA's Advertising and Sponsorship business unit. In this role, you will be implementing third-party data collaborations that generate new measurement capabilities and scale ad performance reporting. Your success in this role will depend on your ability to collaborate with our Data Solutions team to build the necessary products and tools that maintain data integrity and privacy and drive improvements in targeting, measurement, and attribution. Collaboration with account management teams will be key in meeting our advertising clients' expectations on measurement outputs. This role requires analytical expertise, technical fluency, and a program leader who can translate business objectives into actionable solutions. You will report to the Director of Advertising & Sponsorships Insights & Innovations and work in a hybrid work model 3 days in office out of our Vancouver office.
\nResponsibilities: Partner with advertisers to understand data needs and enable effective campaign measurement and optimization. Lead the development of data integrations with measurement and AdTech partners to unlock advanced targeting and analytics capabilities. Deploy and experiment with privacy-enhancing measurement solutions, including clean rooms and first-party data collaboration frameworks. Analyse marketing and performance data to uncover insights and deliver actionable recommendations. Leverage data visualization tools and platforms like Looker to streamline and democratize measurement data access. Build, scale, and optimise tools, processes, and workflows to support operations of Ads & Sponsorships.
\nQualifications: 4–6+ years of experience in marketing technology, performance marketing, marketing analytics, or operations. Advanced proficiency in SQL for data processing, automation, and analysis. Analytical and technical skills with the ability to translate complex data into clear, actionable insights for non-technical stakeholders. Experience collaborating with engineering, data, and product teams to implement scalable marketing solutions aligned with business objectives. Hands-on experience with digital tracking, attribution, and incrementality measurement across web and app environments, including familiarity with adtech tools (e.g., MMPs, CDPs, data clean rooms). Demonstrated expertise in advertising platforms such as Google Ads and Meta Ads Manager, including app attribution, incrementality measurement, and API integrations. Lead cross-functional initiatives, deliver results, and operate effectively in complex environments. BA/BS degree required. Exceptional candidates will also have a working knowledge of EA SPORTS titles.
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\nYou will lead the content and social strategy for Scale Labs' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community. You will build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.
\nYou will partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business. You will develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.
\nYou will collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.
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\nPreferred Qualifications: \tExperience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems \tBackground in data science, engineering, or analytics prior to product management \tFamiliarity with 3rd party data sourcing, evaluation, and integration \tExperience with probabilistic matching, entity resolution, or graph-based identity systems \tKnowledge of data privacy regulations and their product implications \tExperience in sales intelligence, marketing technology, or revenue operations domains
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\nIn this role, you will lead a team of global media planners responsible for developing audience-first, account-focused media strategies that engage both technical practitioners and executive decision-makers across priority target accounts.
\nYou will set the strategic frameworks that guide media planning across integrated campaigns and ensure media investments drive measurable business impact.
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\nPay Range Transparency:
\nDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.
\nActual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
\nBased on the factors above, Databricks anticipated utilizing the full width of the range.
\nThe total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
\nFor more information regarding which range your location is in visit our page here.
\nZone 1 Pay Range $183,400-$252,250 USD
\nZone 2 Pay Range $165,100-$227,050 USD
\nZone 3 Pay Range $155,900-$214,400 USD
\nZone 4 Pay Range $146,700-$201,750 USD
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\nRequirements:
\nExperience in AdTech, FinTech, Trust & Safety, or Active Analytics is valued.
\nIf you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in.
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\nResponsibilities
\nRequirements
\nBenefits
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\nLocation
\nSan Francisco
\nEmployment Type
\nFull time
\nDepartment
\nStrategic Finance
\nCompensation
\nThe base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.
\nMore details about our benefits are available to candidates during the hiring process.
\nThis role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
\nAbout the Role This role focuses on building the strategic unit economics understanding of OpenAI, guiding sustainable growth to make it the most impactful company of our generation and beyond.
\nYou will lead the development of foundational causal inference and data science models and frameworks to predict and quantify the drivers of customer lifetime value (LTV), translating deep data insights into strategic decisions and growth levers. The role requires both technical depth and executive-level communication.
\nThis position is based in our San Francisco HQ with a hybrid work model (three days in office per week). Relocation assistance is available.
\nThe Vision
\nIn this role, you will:
\nYou might thrive in this role if you:
\nQualifications
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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