Are you passionate about using data to drive impactful product decisions?

We’re looking for a Manager, Product Analytics to be part of our Product Analytics team.

The team:

Product Analytics is part of the Strategy and Data team, our internal consulting team - they’re the decision support mechanism that connects infrastructure, business insights and a vision of how to move forward with the rest of the organization. In essence, Analytics is a central function that exists to drive business outcomes in all corners of Jobber’s ecosystem.

The role: 

Reporting to the Senior Manager, Product and Fintech Analytics, the Manager, Product Analytics will help evolve the product analytics function within Jobber and help champion analytical initiatives designed to advance Jobber’s subscription product capabilities (desktop & Mobile App), user experience and product marketing strategy. The purpose of the role is to shepherd the product analysts in their growth and ensure the Product Org has all the information they need to make design, experience, experiment and GTM decisions that drive success of the Jobber product in market, as well as measure the success of those initiatives. 

The Manager, Product Analytics will:

• Manage & oversee the work of Product Analytics team through stakeholder relationship management, defining projects’ scope of work, project prioritization & allocation, and ongoing people leadership & mentorship
• Be a thought partner to department leadership by proactively proposing analytical solutions and data insights that drive improvement in product functionality, user experience, pricing and other product development and / or marketing decisions
• Collaborate with department leadership and stakeholders to understand their business objectives, translate business objectives into proposed solutions (e.g. analysis, KPIs, BI, Data Science)
• Perform (hands-on) analysis to drive insights, and inform business recommendations or marketing / PR content
• Provide BI & Data Platform teams with requirements for product analytics data modelling, reports and dashboards
• Collaborate with 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 A/B design and executing success measurement and quantification

To be successful, you should have:

• 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 how the big picture and weigh pros and cons of different options
• Analytical creativity and flexibility
• Ability to design solutions under data & time constraints

You should also:

• Be proactive and relentless. You are comfortable seeking information independently, solving conceptual problems, corralling resources and delivering results
• Have a strong and confident communication style. You have the ability to actively listen, empathize and consult with stakeholders, and you can take something complex and difficult and make it easy to digest
• Be comfortable in an ambiguous and fast-paced environment. We’re growing fast and things are changing every day - what worked yesterday might not anymore