CanadaStackAdapt 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.StackAdapt's Advertising Technology team is looking for a highly analytical and results-orientedProduct Data Analystto drive product and performance insights for our Mobile App User Acquisition program.In 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.The 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.The 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.We are also looking for someone with anAI-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.What You'll Be Doing:Analyze historical and real-time mobile user acquisition campaign data to identify trends, measure performance and uncover optimization opportunitiesDefine, establish and refine the core metrics used to evaluate mobile UA campaign and product performancePartner with Product and Machine Learning teams to analyze targeting, bidding, attribution and optimization performanceConduct deep-dive analysis into campaign delivery, conversion funnels, user quality, attribution and return on advertising spendBuild and maintain Tableau dashboards for performance monitoring, troubleshooting and product analysisCreate dashboards and reporting structures that allow Product, Engineering, Sales and Account Management teams to independently investigate performanceLead weekly performance reviews and communicate key findings, risks and recommendations to stakeholdersPrepare quarterly business reviews and leadership updates covering performance trends, product opportunities and areas requiring investmentWork with Data Engineering, BI and Analytics teams to design scalable datasets and reporting solutionsBuild or maintain Apache Airflow pipelines that consolidate data from multiple internal and external systemsWork with Snowflake, MySQL, APIs, logs, event-level data and other structured or unstructured data sourcesDevelop reusable data models and curated datasets that support product analytics,



experimentation and operational reportingIdentify gaps in data quality, event instrumentation and reporting and partner with Engineering teams to address themSupport product experiments by defining success metrics, evaluating results and communicating recommendationsAutomate repetitive reporting, investigation and analysis workflows using AI and other modern toolsBuild internal AI agents, reusable skills or analytical tools that improve data discovery, troubleshooting and team productivityWhat You'll Bring to the TableBachelor's degree in Data Science, Business Analytics, Statistics, Computer Science, Engineering or a related field3 or more years of experience in product analytics, data analytics, business intelligence or a related roleStrong SQL skills and experience querying large, complex datasetsExperience defining product or business metrics and converting ambiguous questions into structured analytical approachesExperience building dashboards and data visualizations in Tableau, Looker, Power BI or a similar platformExperience working with a cloud data warehouse such as SnowflakeExperience working with relational databases such as MySQLAbility to independently investigate data issues, identify root causes and translate findings into clear recommendationsStrong communication and presentation skills, with the ability to explain complex analysis to both technical and non-technical audiencesStrong attention to data quality, metric consistency and analytical accuracyAbility to collaborate across Product, Engineering, Machine Learning, BI and business teamsPreferred QualificationsExperience in analytics engineering or data engineeringHands-on experience building or maintaining pipelines using Apache AirflowExperience building reusable data models, analytical tables or curated datasetsExperience with Python for data analysis, automation or pipeline developmentAdvanced experience building interactive Tableau dashboards for monitoring and troubleshootingExperience with ThoughtSpot or another self-service analytics platformExperience integrating data from APIs, event streams, logs and unstructured data sourcesExperience working with Mobile Measurement Partners such as AppsFlyer, Adjust, Singular or KochavaUnderstanding of mobile UA and performance marketing metrics, including CPI, IPM, click-to-install rate, ROAS, retention and lifetime valueFamiliarity with mobile attribution models, view-through attribution, click-through attribution and privacy-focused measurement frameworksExperience supporting machine learning models, experimentation or model-performance monitoringExperience working in advertising technology, mobile user acquisition, performance marketing or another high-volume data environmentExperience using AI tools to accelerate analytics, data engineering,



documentation or troubleshootingExperience building AI agents, reusable skills, MCP-based tools or AI-powered analytical workflowsThe 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.This 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.The 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.Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.Base Salary Band$76,000 - $104,500 CADStackAdapter's Enjoy:Highly competitive salaryRetirement/ 401K/ Pension Savings globallyCompetitive Paid time off packages including birthday's off!Access to a comprehensive mental health care programHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home office and hubs in London and TorontoRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, books etc)Access to StackAdapt programmatic courses and certifications to support continuous learningAn awesome parental leave programA friendly, welcoming, and supportive cultureOur social and team events!Please 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 perks are administered in accordance with local regulations and partner policies.StackAdapt 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. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.We 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.About StackAdaptWe've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:To learn more about our privacy practices, please see our Privacy Policy .#J-18808-Ljbffr

📌 Product Data Analyst For Mobile Acquisition - C$76,000 - C$104,500 A Year - Remote (Winnipeg)
🏢 StackAdapt
📍 Winnipeg