StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
StackAdapt's Product Analytics team is looking for a highly analytical and results-oriented Senior Product Data Analyst to drive insights for our Product team. In this role, you will work closely with Product (Product Management, Product Design, UX Research, Product Ops), BI, Data Engineering and Data Analytics teams to provide actionable insights on our major product releases.
The ideal candidate is data-driven, detail-oriented and has a strong understanding of the AdTech space. Preference will be given to candidates that have exposure to DSPs/Martech.
StackAdapt is a Remote First company, we are open to candidates located anywhere in North America for this position.
What You'll Be Doing:
- Research, understand stakeholder needs and translate them into ad-hoc analysis.
- Prepare and present QBRs to the leadership team and the wider product org, highlighting feature trends, opportunities and data-driven insights.
- Support product GTM initiatives with strategic insights.
- Partner with product analytics engineers to fix gaps in internal feature reporting infrastructure.
- Partner with PMs/Designers/UX to drive downstream actions from ad-hoc analysis/QBRs.
- Use LLMs to analyze qualitative data/product feedback.
- Become an expert in ad-tech and programmatic media buying; understanding the competitive landscape, the evolving market needs, and how those things relate to StackAdapt's product offering.
What you'll bring to the table:
- Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science or a related field.
- 4+ years of experience in data analysis, business intelligence or product analytics.
- Extensive track record of preparing and presenting QBRs to leadership or a wider audience.
- Demonstrated ability in a similar role analyzing large scale data, using both SQL and Python, in a professional setting.
- Strong communication and presentation skills with the ability to translate data insights into compelling narratives for leadership and stakeholders.
- Familiarity with product analytics tools like Pendo or FullStory (engagement analytics), Business Intelligence tools (ThoughtSpot, Tableau, Power BI, etc.) and LLMs (ChatGPT, Claude, etc.) would be a bonus.
- 2+ years experience in advertising technologies or MarTech would be a bonus.
- Background in consulting or shaping strategy at the organizational level is considered an asset.
The compensation range listed for this role reflects the expected base salary for candidates located in Ontario, Canada. 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.
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!
Top Skills
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
