Manager, Data Analytics

What you get to do every day:

• Lead the team in achieving strategic goals and departmental objectives while fostering accountability and continuous improvement.
• Lead and manage regular roadmap deliveries, ensuring high-quality execution of data-driven projects.
• Foster an environment that emphasizes trust, open communication, creative thinking, and cohesive team effort
• Oversee the design, development, and maintenance of data lakes, warehouses, ETL processes, AI/ML analytics capabilities, and models aligned with organizational priorities.
• Promote the implementation of automated reporting and analytics workflows using SQL, AWS, and visualization tools like Looker and Power BI.
• Contribute to the code and architecture of a highly concurrent, high-throughput system on the AWS cloud
• Collaborate with internal SMEs and external clients to identify, assess, and deliver meaningful analytics outcomes.
• Manage and mentor team members, providing constructive feedback, professional development, and performance reviews.

What kind of person should you be?

• Act as a liaison among product managers, engineering units, and analytics experts to align product engineering strategies with analytics growth.
• Ensure timely and flawless execution of priority analytics deliverables through organized sprint planning and Agile practices.
• Help maintain product roadmaps for the team’s portfolio of products along with the Product Manager
• Identify opportunities to streamline, automate, and optimize ETL processes to transform data into actionable models.
• Develop a strong understanding of the products in the engineering team’s portfolio and be able to act a resource for questions about all aspects of those products
• Ensure that any necessary documentation is written and maintained by the engineering team
• Hire, train, coach, mentor, and develop staff, including conducting performance reviews and providing constructive feedback through employee recognition, rewards, and disciplinary action with the assistance of Human Resources when necessary
• Maintain professional and technical knowledge by following the broader industry, attending management-focused training sessions and educational workshops
• Create and maintain a workplace culture that is consistent with the overall organization with an emphasis on the KUBRA mission, vision, guiding principles, and values
• Engage cross-functional teams to ensure alignment with analytics-driven objectives and adopt a multi-disciplinary approach

What skills do you need?

• Bachelor's degree or equivalent experience in Computer Science, Data Engineering, or related disciplines.
• Advanced certifications in analytics or cloud technologies preferred.
• 8–10 years in engineering, data analytics, or related roles, with at least 2-3 years in leadership.
• Proven expertise in cloud-based platforms and data technologies, including AWS (EC2, S3, Redshift), SQL, and modern BI tools.
• Hands-on experience with Databricks is essential. Familiarity with Snowflake is highly desirable
• Preferred experience in GenAI and ML, reflecting a forward-looking approach to emerging technologies.
• Strong command of Agile practices with a proven ability to lead teams in dynamic and iterative environments
• Proficiency in ETL pipeline automation, data modeling, and BI tool configurations (Tableau, Looker, Power BI, AWS)
• Strong project management skills, with demonstrated abilities in Agile environments.
• Excellent written/verbal skills, as well as the ability to engage stakeholders effectively.
• Leadership aptitude with a history of building, motivating, and inspiring diverse teams.
• Proficiency in Cloud-based architectures
• Familiarity with CI/CD pipelines, Kubernetes and Docker
• Leadership and management skills – the ability to attract, retain, motivate, mentor, and develop team members to perform to their highest potential
• Project management skills – the ability to plan and manage successful projects; including managing risks, costs, time, and roadmaps
• Excellent organization, time management, problem-solving, and analytical skills

What can you expect from us?

• Award-winning culture that fosters growth, diversity and inclusion for all
• Bi-annual performance-based bonus
• Flexible schedules
• Paid day off for your birthday
• Two paid days for volunteer opportunities
• Generous benefit coverage with low premiums (+ a Health Care Spending Account)
• RRSP Matching
• Free unlimited access to our refreshment stations (fully stocked with tea, coffee and other beverages)
• A free premium membership for ‘Headspace’; an app geared towards mental health and wellbeing
• Access to Perkopolis retail discounts
• Access to LinkedIn learning courses
• Continued education with our education reimbursement program