Manager, Data Analytics

Overview As Manager, Data Analytics, you will lead a high-performing analytics team to drive data-informed decisions across commercial, sales, and go-to-market functions. You’ll translate business questions into analytical strategies, build dashboards and data solutions, and uphold data quality and governance. You’ll work closely with cross-functional partners to embed analytics in planning and go-to-market execution, shaping strategic outcomes at scale. This role combines people leadership with technical credibility in a dynamic, storytelling-driven gaming company. Compensation / BenefitsHealth & WellnessTime Off to RechargeFinancial Well-beingLife & Family SupportVolunteer and Community InitiativesLearning & Development ResponsibilitiesLead and develop a team of business and data analysts with coaching and career growth supportOwn the analytics roadmap for commercial, sales, and go-to-market, prioritizing work and ensuring deliveryPartner with senior stakeholders to translate business needs into KPIs and reporting strategiesOversee dashboards, models, and data solutions using Snowflake, dbt, and BI tools (Tableau, Power BI, Looker)Drive data quality and governance in collaboration with data engineering and BI teamsFoster cross-functional collaboration across product, finance, engineering, and marketingStandardize analytical methodologies, documentation, and processesPresent findings to senior leaders to shape planning, forecasting, and go-to-market executionDevelop and implement data strategies aligned with business goalsCoordinate data needs across teams and ensure accurate, accessible visualizations Key requirements8+ years in data or business analytics2–3 years in people management or team lead roleBachelor’s or Master’s in Analytics, Data Science, Economics, or related field (or equivalent)Strong SQL and familiarity with Snowflake, dbt, ETL workflowsExperience with BI platforms (Tableau, Power BI, Looker)Proven ability to hire, mentor, and manage analytics talentTrack record influencing senior stakeholders and cross-functional alignmentSolid understanding of data governance and best practicesExcellent communication, capable of explaining complex data to non-technical audiencesleadership and mentorshipcross-functional collaborationexcellent communicationSQLSnowflakedbt