Role Overview
The Product Data Analyst for Mobile App User Acquisition at StackAdapt in Canada is a key role focused on driving product and performance insights for the mobile user acquisition program. This position suits an analytical professional who enjoys translating complex data into actionable recommendations and bridging product, engineering, and business teams.
Key Responsibilities
Analyze historical and real-time mobile user acquisition campaign data to identify trends, measure performance, and uncover optimization opportunities.
Define, establish, and refine 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 analyses 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 reporting structures that empower 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 and investment opportunities.
Design scalable datasets and reporting solutions in collaboration with Data Engineering, BI, and Analytics teams.
Build or maintain Apache Airflow pipelines and work with Snowflake, MySQL, APIs, logs, and event-level data.
Develop reusable data models and curated datasets to support product analytics, experimentation, and operational reporting.
Address data quality and instrumentation gaps in partnership with Engineering.
Support product experiments by defining success metrics, evaluating results, and communicating recommendations.
Automate repetitive reporting and analysis workflows using AI and other modern tools, building internal AI agents or analytical tools.
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 platforms like Tableau, Looker, or Power BI.
Experience working with cloud data warehouses such as Snowflake and 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 diverse 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 Have
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 other self-service analytics platforms.
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 like 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 high-volume data environments.
Experience using AI tools to accelerate analytics, data engineering, documentation, or troubleshooting, and building AI agents or MCP-based tools.
Skills and Tools
Python
SQL
Airflow
Snowflake
MySQL
Tableau
APIs and event-level data logs
Salary and Benefits
Base Salary Band: $76,000 — $104,500 CAD
Retirement, 401K, or Pension Savings globally
Competitive paid time off packages including birthdays off
Access to a comprehensive mental health care program
Health benefits from day one of employment
Work from home reimbursements and optional global WeWork membership
Robust training, onboarding, and personal development coverage (conferences, courses, books)
Access to StackAdapt programmatic courses and certifications
Parental leave program and social team events
About the Company
StackAdapt is a leading technology company that empowers marketers to reach, engage, and convert audiences with precision through an AI-powered Marketing Platform. Recognized as a G2 Top Software winner for 2026, a Best Workplace for Young Talent and in Canada by Great Place to Work, and the #1 DSP on G2, StackAdapt fosters a diverse, inclusive, and supportive workplace culture.
How to Apply
Please apply directly on the official StackAdapt careers page.
