Full job description
StackAdapt is seeking a Senior Analyst for its Solutions team in Toronto. The role involves supporting the development and design of measurement, attribution, and performance capabilities, utilizing data analysis for strategic recommendations, and collaborating with Product, Engineering, Sales, Analytics, and Operations teams. Responsibilities include evaluating revenue opportunities, executing projects, troubleshooting performance issues, designing experiments, conducting market research, contributing to sales enablement, and managing team operations. Candidates should have 3-5 years in technical analytics roles, strong proficiency in Python (NumPy, Pandas, Scikit-Learn), SQL (Snowflake), statistical analysis, predictive modeling, and A/B testing. Strong communication skills and experience managing complex projects are required. Familiarity with marketing and advertising technology is a plus. The position is full-time, on-site in Toronto, with a salary range of $76,000 to $90,000 USD and comprehensive benefits.
What you'll do
- Support discovery, ideation, development, and design of next-gen measurement, attribution, and performance capabilities and roadmap
- Utilize data analysis to inform and make strategic recommendations to drive results and maximize company growth objectives
- Support Solutions Leads in evaluating revenue opportunities such as integrations, business opportunities, and new platform capabilities
- Support Solutions Leads in execution of end-to-end solutions including project implementations involving multiple teams and stakeholders
- Work alongside Data Science and Engineering to architect solutions addressing identified problem statements and use cases
- Troubleshoot technical performance challenges with root-cause analysis and remediation approach
- Design and execute experiments to validate hypotheses and work with Client Services and Marketing to scale solutions and best practices
- Conduct market and competitive landscape research to identify and interpret current trends in ad tech/mar tech
- Engage in industry research to highlight best practices, fit/gap, opportunities, and challenges
- Contribute to sales enablement activities including development of client presentations and RFPs
- Manage day-to-day operations of Solutions team including month-end reporting for measurement solutions
Requirements
- 3–5 years of experience in a technical analytics role (e.g., Systems Analysis, Data Science, Technical Product Management, Tech Consulting, or Data Analytics)
- Exceptional proficiency with Python and core data science libraries (NumPy, Pandas, Scikit-Learn) for advanced data manipulation, modelling, and workflow automation
- Strong SQL competency with experience writing complex, optimized queries to extract and transform data from modern cloud data warehouses like Snowflake
- Solid grounding in statistical analysis, predictive modeling, regression analysis, and rigorous A/B testing methodologies
- Proven track record of independently managing strategic and operationally complex projects within cross-functional teams
- Impeccable business judgment with ability 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
Tech stack
PythonNumPyPandasScikit-LearnSQLSnowflake
Benefits
Highly competitive salaryRetirement/401K/Pension Savings globallyCompetitive paid time off packages including birthdays offAccess to a comprehensive mental health care programHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership with hubs in London and TorontoRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, books etc)Access to StackAdapt programmatic courses and certifications for continuous learningParental leave programFriendly, welcoming, and supportive cultureSocial and team events