Senior Quantitative Analyst validating the Standard Initial Margin Model in investment banking. Involves quantitative validation and risk analysis in a regulated environment.
About the role
- Product Analytics Manager at Jobber driving subscription product capabilities and user experience while collaborating with team stakeholders. Championing analytical initiatives for informed design and GTM decisions.
Responsibilities
- Champion analytical initiatives designed to advance Jobber’s subscription product capabilities (desktop & Mobile App), user experience and product marketing strategy.
- Ensure that Product Development, Experimentation and Product Marketing teams have all the information they need to make design, experience and GTM decisions that drive success of the Jobber product in the market, as well as measure the success of those initiatives.
- Be a thought partner to the stakeholder teams by proactively proposing analytical solutions and data insights that drive improvement in product functionality, user experience, pricing and other product development and / or GTM decisions.
- Collaborate with stakeholders to understand their business objectives, translate business objectives into proposed solutions (e.g. analysis, KPIs, BI, Data Science) and socialize the proposals to ensure stakeholders’ alignment & buy-in.
- Perform (hands-on) analysis to drive insights, and inform business recommendations or marketing / PR content.
- Provide BI team with requirements for product analytics data, reports and dashboards.
- Collaborate with the Data Science team on ML / AI developments supporting Product Analytics, GTM Marketing strategy and development of automated A/B testing capabilities.
- Advocate and propagate philosophy of impact-based opportunity assessment and quantify the impact assessment of all new ideas for product and experience improvement.
- Support experimentation initiatives by providing requirements for experimental design and successful measurement and Jobber’s general culture of experimentation by providing consultation on best practices (e.g. applied statistics, tooling, quantity of experiments, importance statistical significance).
Requirements
- Deep, hands-on experience creating and delivering custom analytics for SaaS product development.
- Experience leading and growing a team of analysts.
- Expert-level SQL programming skills.
- Solid understanding of complex relational data structures.
- Data Science experience and Python are an asset.
- Experience in designing & productionalizing user-friendly product usage data is an asset.
- Strong business acumen, strategic thinking, ability to see the big picture and weigh pros and cons of different options.
- Analytical creativity and flexibility.
- Ability to design solutions under data & time constraints.
Benefits
- A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind
- Matching in RRSP, TFSA or FHSA
- Stock options
- A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential.
- Annual stipends for health and wellness
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