StackAdapt - Senior Solutions Analyst
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Requirements
• 3–5 years of combined experience in consulting, data analytics, product management, strategy & ops, or technical solutions roles. Experience with marketing or advertising systems is an asset but not required. • Knowledge of Python and data analytics libraries (e.g., NumPy, Pandas, Matplotlib) for data manipulation, analysis, and visualization. • Strong SQL skills, including writing complex queries, optimizing performance, and working with relational database structures. • Strong analytical and statistical reasoning skills, including experience with A/B testing, significance testing, and regression analysis to generate insights and guide business decisions. • A proven track record of independently managing strategic and operationally complex projects within cross-functional teams • Sound 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. • 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 (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. • 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. • We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: • G2 Top Software for 20262026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising • To learn more about our privacy practices, please see our Privacy Policy.
Responsibilities
• Contribute to analytics proof-of-concepts (POCs) with strategic clients; test and validate custom use cases to establish clear paths to productization. • Query and analyse large, complex datasets from relational databases (e.g., SQL, BigQuery) to surface insights that inform new solutions and decision-making. • Design and oversee experiments to validate hypotheses that drive measurable improvements in marketing performance. • 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. • Collaborate with internal technical teams—data science, data operations, engineering, and business intelligence—to co-develop business and technical solutions that address client and market needs. • Partner with Team Leads with research, market intelligence, and data exploration to identify new opportunities and make strategic recommendations that maximize the company’s growth objectives • Provide hands-on support with ad-hoc and daily operational tasks which include (but are not limited to): Supporting the Revenue team in RFPs by recommending appropriate solutions and contributing to RFP responses
Benefits
• 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 (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. • 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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