or apply directly on StackAdapt's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 72 days StackAdapt's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 0% of StackAdapt's roles list one
- Ghost-job risk at StackAdapt
- high 81 stale, 7 reposted of 84 open
- Hiring momentum
- 132 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from StackAdapt's own greenhouse board since 2026-08-03. Full hiring picture for StackAdapt.
About this role
As a Product Data Analyst at StackAdapt, you will focus on analyzing mobile app user acquisition campaign data to identify trends and optimize performance. You will collaborate with various teams to define metrics, conduct deep-dive analyses, and build dashboards for performance monitoring. Additionally, you will automate reporting workflows and support product experiments by defining success metrics and communicating findings.
- benefits
- 5/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of StackAdapt as an employer.
What you need
- 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
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
What you get
- 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
Worth weighing
- No specific salary figure mentioned, only a range provided
- Role focuses heavily on product analytics with a preference for candidates with analytics engineering or data engineering experience
- Candidates must be comfortable with both structured and unstructured data sources
Summarised from StackAdapt's posting. Read the full original.
Listed by StackAdapt on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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