{"id":73585,"url":"https://alion.io/job/stackadapt-product-data-analyst-mobile-app-user-acquisition","title":"Lead Product Data Analyst, Mobile App User Acquisition","company":{"id":5624,"name":"StackAdapt","domain":"stackadapt.com","url":"https://alion.io/company/stackadapt","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":12,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":75,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States","Canada"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":139000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Adjust","optional":true},{"name":"AppsFlyer SDK","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-11T15:23:22Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-17T05:56:10Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.\nStackAdapt’s Advertising Technology team is looking for a highly analytical and results-oriented Product Data Analyst to drive product and performance insights for our Mobile App User Acquisition program.\nIn this role, you will work closely with Product, Machine Learning, Business Intelligence, Data Engineering and business teams to define performance metrics, analyze campaign and product trends and translate complex data into actionable recommendations.\nThe primary focus of the role is product analytics, but we are looking for someone who can go beyond one-off analysis. Candidates with experience in analytics engineering or data engineering will be strongly preferred, particularly those who can build reliable datasets, data pipelines, dashboards and automated analytical workflows.\nThe ideal candidate has experience working with mobile app advertising, performance marketing or another data-intensive product environment. They should be comfortable working across structured and unstructured data sources and independently taking an analytical problem from initial question through data sourcing, analysis, visualization and recommendation.\nWe are also looking for someone with an AI-first mindset. Candidates who have experience using AI to accelerate analysis, automate repetitive workflows or build internal agents and reusable skills will be given preference.\nWhat You'll Be Doing:\nAnalyze historical and real-time mobile user acquisition campaign data to identify trends, measure performance and uncover optimization opportunities\nDefine, establish and refine the core metrics used to evaluate mobile UA campaign and product performance\nPartner with Product and Machine Learning teams to analyze targeting, bidding, attribution and optimization performance\nConduct deep-dive analysis into campaign delivery, conversion funnels, user quality, attribution and return on advertising spend\nBuild and maintain Tableau dashboards for performance monitoring, troubleshooting and product analysis\nCreate dashboards and reporting structures that allow Product, Engineering, Sales and Account Management teams to independently investigate performance\nLead weekly performance reviews and communicate key findings, risks and recommendations to stakeholders\nPrepare quarterly business reviews and leadership updates covering performance trends, product opportunities and areas requiring investment\nWork with Data Engineering, BI and Analytics teams to design scalable datasets and reporting solutions\nBuild or maintain Apache Airflow pipelines that consolidate data from multiple internal and external systems\nWork with Snowflake, MySQL, APIs, logs, event-level data and other structured or unstructured data sources\nDevelop reusable data models and curated datasets that support product analytics, experimentation and operational reporting\nIdentify gaps in data quality, event instrumentation and reporting and partner with Engineering teams to address them\nSupport product experiments by defining success metrics, evaluating results and communicating recommendations\nAutomate repetitive reporting, investigation and analysis workflows using AI and other modern tools\nBuild internal AI agents, reusable skills or analytical tools that improve data discovery, troubleshooting and team productivity\nWhat You'll Bring to the Table\nBachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, Engineering or a related field\n3 or more years of experience in product analytics, data analytics, business intelligence or a related role\nStrong SQL skills and experience querying large, complex datasets\nExperience defining product or business metrics and converting ambiguous questions into structured analytical approaches\nExperience building dashboards and data visualizations in Tableau, Looker, Power BI or a similar platform\nExperience working with a cloud data warehouse such as Snowflake\nExperience working with relational databases such as MySQL\nAbility to independently investigate data issues, identify root causes and translate findings into clear recommendations\nStrong communication and presentation skills, with the ability to explain complex analysis to both technical and non-technical audiences\nStrong attention to data quality, metric consistency and analytical accuracy\nAbility to collaborate across Product, Engineering, Machine Learning, BI and business teams\nPreferred Qualifications\nExperience in analytics engineering or data engineering\nHands-on experience building or maintaining pipelines using Apache Airflow\nExperience building reusable data models, analytical tables or curated datasets\nExperience with Python for data analysis, automation or pipeline development\nAdvanced experience building interactive Tableau dashboards for monitoring and troubleshooting\nExperience with ThoughtSpot or another self-service analytics platform\nExperience integrating data from APIs, event streams, logs and unstructured data sources\nExperience working with Mobile Measurement Partners such as AppsFlyer, Adjust, Singular or Kochava\nUnderstanding of mobile UA and performance marketing metrics, including CPI, IPM, click-to-install rate, ROAS, retention and lifetime value\nFamiliarity with mobile attribution models, view-through attribution, click-through attribution and privacy-focused measurement frameworks\nExperience supporting machine learning models, experimentation or model-performance monitoring\nExperience working in advertising technology, mobile user acquisition, performance marketing or another high-volume data environment\nExperience using AI tools to accelerate analytics, data engineering, documentation or troubleshooting\nExperience building AI agents, reusable skills, MCP-based tools or AI-powered analytical workflows\nThe compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.\nThis range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.\nFactors Influencing Final Compensation:\nThe final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.\nOther business factors, such as organizational needs and budget alignment, may also be considered in the final offer.\nCanada Base Salary Band\n$100,000—$137,500 CAD\nUSA Base Salary Band\n$104,000—$143,000 USD\nStackAdapter's Enjoy:\nHighly competitive salary\nRetirement/ 401K/ Pension Savings globally\nCompetitive Paid time off packages including birthday's off!\nAccess to a comprehensive mental health care program\nHealth benefits from day one of employment\nWork from home reimbursements\nOptional global WeWork membership for those who want a change from their home office and hubs in London and Toronto\nRobust training and onboarding program\nCoverage and support of personal development initiatives (conferences, courses, books etc)\nAccess to StackAdapt programmatic courses and certifications to support continuous learning\nAn awesome parental leave program\nA friendly, welcoming, and supportive culture\nOur social and team events!\nPlease note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.\nStackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. \nStackAdapt is committed to providing an inclusive and accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require an accommodation, please let us know.\nWe use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.\nAbout StackAdapt\nWe've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:\nG2 Top Software for 2026\n2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®\n#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising\n2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards\nTo learn more about our privacy practices, please see our Privacy Policy.","description_format":"text","description_chars":9853,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Annual bonuses","Continuous learning","Equity","Home office","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-08-11T15:23:22Z"}],"visa":[],"liveness":{"score":47,"band":"ok","label":"Likely open","p_open":1,"p_active":0.777,"p_room":0.6,"age_days":66,"expected_fill_days":75,"reasons":["conf:3","velocity","win:late","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/stackadapt-product-data-analyst-mobile-app-user-acquisition","json_url":"https://alion.io/job/stackadapt-product-data-analyst-mobile-app-user-acquisition.json","meta":{"generated_at":"2026-10-17T07:28:02Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10179,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5624},"rest":"https://alion.io/mcp/rest/get_company?id=5624"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstackadapt-product-data-analyst-mobile-app-user-acquisition"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstackadapt-product-data-analyst-mobile-app-user-acquisition"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstackadapt-product-data-analyst-mobile-app-user-acquisition"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/stackadapt-product-data-analyst-mobile-app-user-acquisition\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstackadapt-product-data-analyst-mobile-app-user-acquisition"}]}