We are seeking a Staff Analyst for Marketing & Growth Analytics focused on marketing acquisition analysis. In this role, you will serve as a measurement and strategy partner across Marketing Operations, Growth Marketing, and Product—connecting brand advertising, paid acquisition, lifecycle marketing, and in-product growth into a single, ROI-driven measurement framework.You will lead advanced analytics across Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), causal inference, and experiment-driven incrementality to evaluate paid media impact across both upper-funnel brand outcomes (awareness, mindshare, reach, frequency) and lower-funnel growth economics (LTV, CAC, payback, and long-term ROI). This role is critical in establishing end-to-end growth measurement, ensuring brand investment builds durable demand and mindshare while efficiently translating into high-quality customers, sustained engagement, and revenue over time.This role can be based out of our Dublin office or remotely Ireland.ResponsibilitiesOwn marketing acquisition program measurement and reporting for all paid media channels (paid search, paid social, and display) across the full funnel—driving actionable insights across brand awareness, mindshare, and acquisition to optimize media investment, ROI, and executive decision-makingServe as a strategic analytics partner to Marketing Operations, Growth Marketing, Product, and Regional Marketing, aligning measurement across paid acquisition, lifecycle campaigns, and in-product growth surfacesLeverage MMM and MTA outputs to inform channel mix, budget allocation, frequency, and messaging strategy, translating model results into clear, actionable recommendations for Marketing and Finance Own growth economics measurement, including LTV, CAC, payback period, marginal ROI, and cohort quality by channel, audience, and geographyDesign and analyze incrementality experiments and geo-tests (e.g., holdouts, lift studies, bid/creative/audience tests) to validate model-based insights and quantify causal impactApply causal inference techniques to observational paid media data when experimentation is not feasible, accounting for bias, confounding, and selection effectsBuild scalable analytical pipelines and reporting tools that reconcile platform data, MTA, MMM, and experiment results, ensuring reproducibility and consistency of insightsConduct deep-dive analyses using complex SQL and analytical tooling to understand how paid media influences acquisition, product activation, retention, and long-term valuePartner with Data Architecture, Data Engineering, and Marketing Operations to define tracking standards, taxonomies, and data models that enable robust paid media and growth measurementCollaborate with stakeholders to define KPIs and measurement frameworks for new channels, campaigns, and product-embedded growth initiatives—aligning on goals, attribution approach, and success criteria pre-launchAct as a thought leader in paid media measurement, setting best practices for experimentation, attribution, and ROI analysis, and mentoring analysts and partners across teamsSkills & Attributes7+ years of experience in Analytics, Data Science, or Marketing Analytics, with deep partnership across paid acquisition, growth marketing, and lifecycle teamsAdvanced SQL expertise for large-scale analysis and data modeling; Python or R proficiency for statistical analysis, experimentation, or modelingStrong domain knowledge of paid media ecosystems (paid search, paid social, display/programmatic) and their role across the full growth funnelProven experience with MMM and/or MTA, including interpretation, validation, and application to budget allocation, channel mix, and investment strategyHands-on experience with incrementality measurement and causal inference, including experiments (A/B, geo-tests, holdouts) Strong understanding of growth economics, including LTV, CAC, payback period, marginal ROI, and cohort quality by channel and audienceExperience measuring brand and upper-funnel impact (awareness, reach, frequency, share of voice, mindshare) and connecting it to downstream performance and revenueFamiliarity with major advertising platforms and data pipelines (e.g., Google Ads, Meta, DV360, DSPs) and downstream analytics systems (web, product, CRM, data warehouse)Demonstrated ability to build scalable dashboards, tools, and analytical workflows that drive consistent decision-making across teamsStrong communication skills, with the ability to translate complex analytical findings into clear, actionable recommendations for senior marketing, product, and finance stakeholdersAbility to operate as a Staff-level IC, influencing strategy, setting measurement standards, and driving alignment across teams without direct authorityAbout MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.MongoDB is an equal opportunities employer.Req ID: 1273371060