Product Data Analyst, Mobile App User Acquisition

Role overview Join an advertising technology team as a Product Data Analyst dedicated to the Mobile App User Acquisition program. The role centers on product analytics, turning campaign and behavioral data into actionable recommendations that improve targeting, bidding, attribution, and overall return on spend. The position blends deep-dive analysis with analytics-engineering work, including pipeline and dashboard development, suited to someone who treats AI as a core productivity tool.

Responsibilities - Analyze historical and real-time mobile user-acquisition data to surface performance trends, conversion-funnel bottlenecks, and optimization opportunities. - Define and refine core product and campaign metrics, partnering with Product, Machine Learning, BI, and Data Engineering teams on targeting, bidding, attribution, and ROAS performance. - Build and maintain Tableau dashboards and self-service reporting structures that let Product, Engineering, Sales, and Account Management investigate performance independently. - Develop and maintain Apache Airflow pipelines and reusable data models against Snowflake, MySQL, APIs, event streams, and logs to support experimentation and operational reporting. - Lead weekly performance reviews and quarterly business reviews, communicating risks, opportunities, and investment areas to leadership stakeholders. - Use AI tools to automate repetitive reporting and investigation workflows, and contribute internal AI agents or reusable skills that improve team productivity.

Requirements - Bachelor's degree in Data Science, Business Analytics, Statistics, Computer Science, Engineering, or a related field, with at least 3 years of experience in product analytics, data analytics, or business intelligence. - Strong SQL skills and demonstrated ability to query large, complex datasets across structured and unstructured sources. - Experience defining product or business metrics and converting ambiguous questions into structured analytical approaches. - Hands-on experience with a cloud data warehouse such as Snowflake and relational databases such as MySQL. - Proficiency building dashboards in Tableau, Looker, Power BI, or a comparable platform, with strong attention to data quality and metric consistency. - Clear communication skills and the ability to collaborate across Product, Engineering, Machine Learning, BI, and business teams.

Nice to have - Background in analytics engineering or data engineering, with hands-on Apache Airflow experience and Python for analysis and pipeline work. - Familiarity with mobile measurement partners such as AppsFlyer, Adjust, Singular, or Kochava, and mobile UA concepts including CPI, IPM, click-to-install rate, ROAS, retention, lifetime value, and attribution models. - Experience supporting machine-learning experimentation, model performance monitoring, or AI-driven analytics automation, including building AI agents or reusable skills.

Benefits and work setup - Base salary range of 76,000 to 104,500 CAD. - Remote-first setup with optional access to co-working memberships and reimbursement support for home-office needs. - Highly competitive compensation, retirement or pension savings plans, and paid time off that includes a birthday off. - Health benefits from day one, mental health support, parental leave, and coverage for personal development such as conferences, courses, and certifications. - Structured training, onboarding, and continuous-learning programs tied to the programmatic advertising platform. - Final offers may also reflect organizational needs and budget considerations alongside experience and qualifications.