Product Data Analyst, Mobile App User Acquisition

StackAdapt

5h•CA$76,000 - CA$104,500•Remote

About The Position

StackAdapt is seeking a highly analytical and results-oriented Product Data Analyst to drive product and performance insights for their Mobile App User Acquisition program. This role involves working 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. While the primary focus is product analytics, candidates with experience in analytics engineering or data engineering, particularly in building reliable datasets, data pipelines, dashboards, and automated analytical workflows, will be strongly preferred. The ideal candidate has experience in mobile app advertising, performance marketing, or a similar data-intensive product environment, is comfortable with structured and unstructured data, and can independently manage analytical problems from inception to recommendation. An AI-first mindset is also valued, with preference given to candidates experienced in using AI to accelerate analysis, automate workflows, or build internal agents.

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

Nice To Haves

Experience in analytics engineering or data engineering
Hands-on experience building or maintaining pipelines using Apache Airflow
Experience building reusable data models, analytical tables or curated datasets
Experience with Python for data analysis, automation or pipeline development
Advanced experience building interactive Tableau dashboards for monitoring and troubleshooting
Experience with ThoughtSpot or another self-service analytics platform
Experience integrating data from APIs, event streams, logs and unstructured data sources
Experience working with Mobile Measurement Partners such as AppsFlyer, Adjust, Singular or Kochava
Understanding of mobile UA and performance marketing metrics, including CPI, IPM, click-to-install rate, ROAS, retention and lifetime value
Familiarity with mobile attribution models, view-through attribution, click-through attribution and privacy-focused measurement frameworks
Experience supporting machine learning models, experimentation or model-performance monitoring
Experience working in advertising technology, mobile user acquisition, performance marketing or another high-volume data environment
Experience using AI tools to accelerate analytics, data engineering, documentation or troubleshooting
Experience building AI agents, reusable skills, MCP-based tools or AI-powered analytical workflows

Responsibilities

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

Benefits

Highly competitive salary
Retirement/ 401K/ Pension Savings globally
Competitive Paid time off packages including birthday's off!
Access to a comprehensive mental health care program
Health benefits from day one of employment
Work from home reimbursements
Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
Robust training and onboarding program
Coverage and support of personal development initiatives (conferences, courses, books etc)
Access to StackAdapt programmatic courses and certifications to support continuous learning
An awesome parental leave program
A friendly, welcoming, and supportive culture
Our social and team events!