{"id":155240,"url":"https://alion.io/job/moonfrog-labs-senior-data-analyst","title":"Senior Data Analyst","company":{"id":1023,"name":"Moonfrog Labs","domain":"moonfroglabs.com","url":"https://alion.io/company/moonfrog-labs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":26},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-08-28T17:02:21Z","employer_posted_date":null,"last_verified_at":"2026-08-28T17:02:21Z","board_verified":false,"closed_at":null,"days_open":55,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":55},"description":"We are looking for an exceptional Senior Data Analyst to join our fast-paced, data-driven gaming team. The ideal candidate will possess excellent SQL skills, a strong analytical mindset, and a passion for solving complex, high-impact problems across marketing analytics, product analytics, and gaming performance optimization. This role offers the opportunity to work on massive-scale datasets (billions of data points), influence product and marketing strategy, and partner with cross-functional teams to shape the future of our games and player experiences.\nResponsibilities:\nDeliver end-to-end analytics and data science projects aligned with product and business goals.\nConduct deep-dive analyses to uncover actionable insights across user acquisition (UA), marketing performance, and campaign effectiveness, including high-budget, multi-channel campaigns.\nPartner with the marketing and UA teams to optimize spend efficiency, ROI, and creative performance through data-driven recommendations.\nCollaborate with game and product teams to design, validate, and optimize data-driven product features and engagement strategies.\nDesign, execute, and interpret experiments (A/B tests) to guide strategic product and marketing decisions.\nBuild and maintain dashboards, automation pipelines, and analytical frameworks to empower business and marketing teams with real-time insights.\nMentor and guide junior analysts, fostering analytical rigor and technical growth within the team.\nContribute ideas and innovations during product and marketing brainstorming and planning sessions.\nAnalytics and Problem-Solving Excellence:\nExhibit structured thinking, strong analytical skills, and a data-driven mindset.\nSolve complex, ambiguous problems with creativity and precision.\nDeep understanding of experimentation, A/B testing, and statistical modeling.\nAbility to translate analytical findings into clear business recommendations that drive measurable outcomes.\nStakeholder Management and Communication:\nWork closely with senior leaders across marketing, product, engineering, and operations to identify key opportunities and deliver impactful insights.\nDemonstrate excellent communication and storytelling skills to be able to present data to both technical and non-technical audiences.\nBuild trust with stakeholders through transparency, reliability, and a deep understanding of business context.\nEngineering and Technical Foundation:\nDesign, build, and maintain data pipelines connecting games, ML models, data warehouses, and third-party systems.\nData Visualization and Reporting:\nBuild scalable, self-serve dashboards and intuitive visualizations that enable faster decision-making.\nEnsure data accuracy and clarity in all reports and visual artifacts.\nComfortable distilling complex data into simple, actionable insights\nAction-Oriented, Ownership-Driven, and Independent Contributor.\nStrong bias for action and ability to deliver at speed.\nTake complete ownership from conceptualization to execution for analytics and data science projects.\nProven ability to work independently, prioritize effectively, and manage multiple parallel initiatives.\nProactively identify opportunities, propose solutions, and drive them to completion.\nRequirements:\nProficiency in Excel and at least one BI/visualization platform such as Metabase, Looker, Tableau, QlikView, or Power BI.\nProficient in SQL (expert level) and Python for data manipulation, analytics, and automation.\nExperience working with large-scale data systems (handling billions of data points).\nFamiliarity with data modeling, ETL design, and performance optimization.\n4-6 years of experience in data analytics, ideally in gaming, consumer tech, or digital products.\nStrong foundation in statistics, experimentation, and data science fundamentals.\nStrong proficiency in SQL, Excel, and Python.\nBachelor's or master's degree in engineering, statistics, mathematics, economics, or a related quantitative field.\nExperience with big data platforms (Athena, Redshift, Hive, and Spark) is a plus.\nPrior exposure to digital marketing analytics, UA optimization, or large-scale campaign measurement is highly desirable.\nBonus: Prior experience in a gaming company or with game performance analytics (player retention, 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