Jobber is hiring a
Manager, Analytics Engineering, Remote - Canada

Summary

Jobber is seeking a Manager, Analytics Engineering to lead its Analytics Engineering function. The role involves developing scalable data architectures, working closely with cross-functional teams, overseeing the selection of analytics tools, creating dashboards and reports, and staying up-to-date with industry trends.

Requirements

• Bachelor/Master’s degree in Computer Science, Data Science, Engineering, or a related field
• Proven hands on experience in data engineering, analytics, or business intelligence, with at least 2 years in a leadership role
• Proficiency in SQL, Python, and data visualization tools such as Tableau or Power BI
• Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights
• Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders
• Proven ability to manage multiple projects simultaneously, prioritize tasks effectively, and deliver results on time (Project Management Experience)
• The ability to be agile in an agile environment
• Strong collaboration and communication skills
• Ability to recruit, develop, motivate and mentor a team of data engineers, data scientists, and data analyst professionals

Responsibilities

• Lead, mentor, and develop a team of analytics engineers
• Design, implement, and maintain scalable data architectures and pipelines to support business intelligence and analytics needs
• Work closely with cross-functional teams, including Product, Engineering, Marketing, and Sales, to understand their data requirements and deliver relevant tables and insights
• Oversee the selection, implementation, and management of analytics tools and platforms
• Create and manage dashboards, reports, and data visualizations alongside your team, to provide clear and actionable insights to stakeholders at all levels

Preferred Qualifications

• Experience with big data technologies (e.g., Hadoop, Spark)
• Experience with cloud data platforms (e.g., AWS, GCP, Azure)

Benefits

• A total compensation package that includes an extended health benefits package with fully paid premiums for both body and mind, RRSP matching, and stock options
• A dedicated Coaching and Development function, including Development Coaches, to help build the career you want and hit the goals you set, while ensuring you’re reaching your fullest potential
• Support for all. your breaks: from vacation to rest and recharge, your birthday off to celebrate, health days to support your physical and mental health, and parental leave top-ups to support your growing family
• A unique opportunity to build, grow, and leave your impact on a $400-billion industry that has no dominant player...yet