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.
The People Analytics team at StackAdapt is looking for a dynamic and experienced Senior People Data and Insights Analyst who thrives in the "gray area"—someone who can take messy, imperfect data and transform it into a clear narrative that shapes the future of our workforce.
This isn't just about building dashboards; it’s about being a strategic architect for our People & Culture team. You’ll be the bridge between raw talent data and executive-level decision-making, using everything from regression models to creating LLM using NLP to help us scale intelligently leveraging scalable AI driven solutions.
StackAdapt is a Remote First company, we’re open to candidates located anywhere in Canada for this position.
What You'll Be Doing:
- Build and deploy end-to-end models to help us stay ahead of organizational trends and enhance our people programs, driving data driven decision making with our leaders.
- Translate complex statistical outputs into compelling stories that drive action across StackAdapt.
- Design and maintain automated workflows and data products (using dbt/Snowflake) that move us away from ad-hoc requests toward scalable self-service analytics and reporting.
- Act as an internal analytics consultant by collaborating with People leaders and Technology owners (HRIS, LMS, Talent Management, ATS, etc.) to understand data structures, APIs, and export capabilities, defining the "why" behind their requests before building the "how"
- Act as Data governance ensuring a high quality of compliance and governance structures with how we manage employee data.
- 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 including building and maintaining LLM and NLP models.
- 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
- Proven expertise in people analytics, workforce data science, or a related field within a fast-paced, high-growth organization.
- Excellent communication and data storytelling skills, with the ability to translate complex analyses into clear business recommendations for both technical and non-technical audiences.
- Demonstrated experience building and maintaining production-grade data pipelines or databases (e.g., SQL, Python, dbt, or equivalent).
- Prior working experience partnering within an HR/People team to deliver data-driven insights and executive-level reporting on People data.
- Understanding of AI/ML applications in people analytics and a commitment to responsible, ethical data use.
- Collaborative, self-directed work style with the ability to manage multiple competing priorities independently.
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 candidates 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.
Base Salary Band
$114,000—$164,000 CAD
StackAdapter's Enjoy:
- 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.
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, 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.
We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
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