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People Data and Insights Analyst

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game ads and digital out-of-home ads. We empower thousands of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.






At StackAdapt we are committed and focused on developing and growing our team by creating growth and learning paths that excite and engage them. We are currently seeking a dynamic and experienced People Data and Insights Analyst to join our People and Culture team to build the data foundation required to turn complex data into strategic insights and initiatives.


As a Senior People Data and Insights Analyst, you'll be instrumental in building a robust data foundation for our organization. You'll collaborate closely with People Technology owners and the Enterprise Data Office to source, integrate, and manage critical people data within our data lake. At the start, your focus will be designing and developing data models that empower the People team and the broader business with rapid, insightful analytics. This role requires an understanding of data warehousing principles, balanced with a keen ability to translate complex data into clear, actionable insights that directly fuel strategic people-centric decisions.

The successful candidate is passionate about people data, and stays on top of the latest best practices in analytics and reporting.


StackAdapt is a Remote First company, we are open to candidates located anywhere in the US and Canada for this position.


What you'll be doing:
  • Collaborate with people technology owners (HRIS, LMS, other people related systems) to understand data structure, APIs and export capabilities.
  • Partner with the enterprise data office to bring people data into our data lake while ensuring data quality and adherence to data governance policies and standards.
  • Design and develop dimensional data models to optimize analytical reporting and dashboard performance.
  • Develop dashboards and reports to enable rapid analytics and support businesses in identifying trends, patterns and insights to support strategic decision making. 


What you'll bring to the table:
  • Passionate about people analytics and its purpose in driving employee experience.
  • A blend of technical expertise, analytical thinking and strong communication skills that prioritizes evidence based approach to decision making and influencing.
  • Experience in quantitative data engineering and analysis using Python, R, or Tableau.
  • A “how can we make this better?” mentality with a focus on progress over perfection to continuously drive for improvement and innovation.


StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.


About StackAdapt


We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:



Ad Age Best Places to Work 2024

G2 Top Software and Top Marketing and Advertising Product for 2024

Campaign’s Best Places to Work 2023 for the UK

2024 Best Workplaces for Women and in Canada by Great Place to Work®

#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising


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CEO of StackAdapt
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Vitaly Pecherskiy
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Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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StackAdapt is a self-serve advertising platform offering multi-channel solutions like native, display, video, connected TV, and audio ads, combining advanced machine learning with an exceptional user experience.

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Full-time, remote
DATE POSTED
March 16, 2025

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