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 Verticals and Performance Team focuses on developing and leading strategic business technology initiatives within priority industries in order to strengthen our suite of programmatic adtech and martech solutions. We collaborate across Product, Engineering, Sales, and Analytics to design innovative, vertical-specific solutions that push the boundaries of programmatic advertising.
The Senior Analyst, Verticals and Performance will work on projects and partnerships that will accelerate the development of vertical-specific advertising solutions and bring new innovations to market. This role blends technical problem-solving, data analysis, and business strategy, offering exposure to multiple cross-functional teams and direct opportunities to shape the future of programmatic solutions.
What You'll Be Doing:
- Support the team in executing the technical roadmap for Tier 1 projects, including the development, testing and maintenance of targeting and measurement solutions.
- Collaborate with Product, Revenue, Marketing, Business Intelligence, and Data Science teams to design, test, and iterate on vertical-focused initiatives.
- Troubleshoot technical issues (e.g. reporting discrepancies, data pipeline bugs) by analyzing datasets and working with technical teams to identify root issues and establish a path to resolution.
- Design and oversee experiments to validate hypotheses that drive measurable improvements in marketing performance.
- Contribute to analytics proof-of-concepts (POCs) with strategic clients; test and validate custom use cases to establish clear paths to productization.
- Define and track performance OKRs (e.g., data benchmarks, measurement accuracy, lower-funnel KPIs) and communicate strategic impact to senior internal stakeholders.
- Provide hands-on support with ad-hoc and daily operational tasks which include (but are not limited to) campaign reporting & measurement setup, ad-hoc data analysis and market & competitor research.
What You'll Bring to the Table
- 3–5 years of experience in a technical analytics role (e.g., Systems Analysis, Data Science, Technical Product Management, Tech Consulting, or Data Analytics).
- Familiarity with Python and core data science libraries (e.g., NumPy, Pandas) for data manipulation, modeling, and workflow automation.
- SQL Competency: Familiarity with writing SQL queries to retrieve and analyze datasets from cloud-based data platforms.
- Practical expertise in statistical analysis, predictive modeling, regression analysis, and rigorous A/B testing methodologies.
- A proven track record of independently managing strategic and operationally complex projects within cross-functional teams
- Impeccable business judgment, along with an inclination to formulate hypotheses, design tests, and use problem-solving techniques to evaluate solutions.
- Strong verbal and written communication skills, comfortable presenting to senior stakeholders and external audiences.
- Prior experience or familiarity with marketing and advertising technology is a plus.
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
$76,000—$104,500 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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