Product Data Analyst, Mobile App User Acquisition at StackAdapt | AdTechTalent
Product10 days agoRemote
StackAdapt
Product Data Analyst, Mobile App User Acquisition
product data analystmobile user acquisitionperformance marketingSQLTableauLookerPower BISnowflakeMySQLApache AirflowPythonAIdata pipelinesdashboardsdata engineeringanalytics engineeringmobile advertisingbusiness intelligencedata visualizationmachine learningAPIsevent dataperformance analysisattributionROASCPIretentionlifetime valueautomation
Key details
Salary
CA$76K – CA$105K
Employment type
Full-time
Seniority
Mid-level
Years experience
3-5
Location
Canada
Full job description
StackAdapt is seeking a Product Data Analyst to provide product and performance insights for Mobile App User Acquisition. The role involves working with Product, Machine Learning, BI, Data Engineering, and business teams to define metrics, analyze campaign and product trends, and deliver actionable recommendations. Responsibilities include analyzing mobile UA campaign data, defining core metrics, partnering on targeting and optimization analysis, building and maintaining dashboards, leading performance reviews, preparing business updates, designing scalable datasets, maintaining data pipelines, supporting experiments, and automating workflows using AI. Requirements include a bachelor's degree in a relevant field, 3+ years of experience in product or data analytics, strong SQL skills, experience with Tableau or similar tools, cloud data warehouses like Snowflake, relational databases like MySQL, strong communication skills, and ability to collaborate across teams. Preferred qualifications include experience in analytics or data engineering, Apache Airflow, Python, ThoughtSpot, mobile measurement partners, mobile UA metrics, and AI tools. The position is full-time, remote, based in Canada, with a salary range of $76,000 to $104,500 CAD and comprehensive benefits.
What you'll do
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Analyze historical and real-time mobile user acquisition campaign data to identify trends, measure performance and uncover optimization opportunities
Define, establish and refine the core metrics used to evaluate mobile UA campaign and product performance
Partner with Product and Machine Learning teams to analyze targeting, bidding, attribution and optimization performance
Conduct deep-dive analysis into campaign delivery, conversion funnels, user quality, attribution and return on advertising spend
Build and maintain Tableau dashboards for performance monitoring, troubleshooting and product analysis
Create dashboards and reporting structures that allow Product, Engineering, Sales and Account Management teams to independently investigate performance
Lead weekly performance reviews and communicate key findings, risks and recommendations to stakeholders
Prepare quarterly business reviews and leadership updates covering performance trends, product opportunities and areas requiring investment
Work with Data Engineering, BI and Analytics teams to design scalable datasets and reporting solutions
Build or maintain Apache Airflow pipelines that consolidate data from multiple internal and external systems
Work with Snowflake, MySQL, APIs, logs, event-level data and other structured or unstructured data sources
Develop reusable data models and curated datasets that support product analytics, experimentation and operational reporting
Identify gaps in data quality, event instrumentation and reporting and partner with Engineering teams to address them
Support product experiments by defining success metrics, evaluating results and communicating recommendations
Automate repetitive reporting, investigation and analysis workflows using AI and other modern tools
Build internal AI agents, reusable skills or analytical tools that improve data discovery, troubleshooting and team productivity
Requirements
Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, Engineering or a related field
3 or more years of experience in product analytics, data analytics, business intelligence or a related role
Strong SQL skills and experience querying large, complex datasets
Experience defining product or business metrics and converting ambiguous questions into structured analytical approaches
Experience building dashboards and data visualizations in Tableau, Looker, Power BI or a similar platform
Experience working with a cloud data warehouse such as Snowflake
Experience working with relational databases such as MySQL
Ability to independently investigate data issues, identify root causes and translate findings into clear recommendations
Strong communication and presentation skills, with the ability to explain complex analysis to both technical and non-technical audiences
Strong attention to data quality, metric consistency and analytical accuracy
Ability to collaborate across Product, Engineering, Machine Learning, BI and business teams
Highly competitive salaryRetirement/ 401K/ Pension Savings globallyCompetitive Paid time off packages including birthday's offAccess 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 cultureSocial and team events
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