Product Data Analyst

Summary

Join StackAdapt's Advertising Technology team as a Product Data Analyst specializing in Mobile App User Acquisition (UA). You will analyze campaign data, define key performance metrics, and provide data-driven recommendations to optimize performance. Collaborate with cross-functional teams, including Product, Machine Learning, and BI, to build data solutions and reporting structures. Present findings and recommendations to stakeholders and leadership. This role requires a Bachelor's degree, 2-4 years of relevant experience, strong SQL skills, and proficiency in data visualization tools. StackAdapt offers a competitive salary, benefits, and a supportive work environment.

Requirements

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field
• 2-4 years of experience in data analysis, business intelligence, or product analytics within advertising technology, mobile user acquisition, or performance marketing
• Strong experience with SQL for querying and analyzing data
• Proficiency in data visualization tools like ThoughtSpot, Tableau, Looker, or Power BI
• Ability to extract meaningful insights from complex data sets and communicate findings in a clear, actionable manner
• Strong communication and presentation skills with the ability to translate data insights into compelling narratives for leadership and stakeholders

Responsibilities

• Analyze past and present mobile user acquisition (UA) campaign data to identify key trends, measure effectiveness, and provide insights for optimization
• Establish and refine the core metrics that drive mobile UA performance, ensuring alignment with business goals
• Work closely with BI, Data Engineering, and Data Analytics teams to leverage their expertise in building scalable data solutions
• Partner with Product and Machine Learning teams to analyze data trends, optimize targeting models, and enhance campaign performance
• Collaborate with the BI team to design and maintain data sources, dashboards, and automated reports that provide real-time insights for leadership
• Lead weekly performance reviews, present key findings, and share data-driven recommendations with stakeholders
• Prepare and present QBRs to the leadership team, highlighting campaign trends, opportunities, and data-driven insights

Preferred Qualifications

• Familiarity with Python or R for statistical analysis
• Understanding of key mobile UA metrics such as Cost Per Install (CPI), Install Per Mille (IPM), Click-to-Install (C2I), Return on Ad Spend (ROAS), and Lifetime Value (LTV)
• Experience working with Mobile Measurement Partners (MMPs) like Adjust, AppsFlyer, or Kochava

Benefits

• Highly competitive salary
• RRSP/401K matching
• 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
• Access to a comprehensive mental health care platform
• Full benefits from day one of employment
• Work-from-home reimbursements
• Optional global WeWork membership for those who want a change from their home office
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, etc)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• An awesome parental leave policy
• A friendly, welcoming, and supportive culture
• Our social and team events!