Product Data Analyst, Mobile App User Acquisition

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

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

The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask c andidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.

This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.

Factors Influencing Final Compensation:

The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.

Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer.

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!

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.