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DATA Analytics Manager

Hays
Full TimemidHybrid
CAPosted February 23, 2026

Job Description

Type of position:

Fulltime

Hourly rate / Salary:

$130k-$145k/year

Location:

North York, ON (5 DAYS ONSITE)

Travel Requirements: 10–20%

  • • Your New Role

As the DATA Analytics Manager (Workforce), you will leverage deep expertise in data sciences and data engineering to drive efficiency, optimize operational performance, and elevate decision‑making across the organization.

With strong storytelling capabilities, you will present and translate complex insights to senior leaders.

You will also play a critical role in mentoring and developing a high‑performing analytics team, fostering innovation, and advancing strategic workforce initiatives.

Data Strategy and Execution

Drive the development of advanced analytics to optimize workforce operations.

Implement modern data engineering practices to streamline data workflows.

Build dashboards that visualize operational performance and key business metrics.

Stakeholder Engagement and Communication

Present data-driven recommendations to senior leadership in a compelling, easy-to-understand format.

Lead workshops that communicate data insights, strategy, and opportunities for improvement.

Talent Development

Mentor and develop direct reports, fostering an innovative, growth-oriented team culture.

Conduct regular performance reviews and set clear developmental goals.

Organize team‑building initiatives to enhance collaboration and engagement.

Innovation and Efficiency

Identify and integrate new technology stacks to enhance data processing and analytical capabilities.

Evaluate and incorporate predictive analytics models into operational workflows.

Stay current with industry trends to keep the organization at the forefront of workforce analytics.

What You'll Need to Succeed

The ideal leader brings strong business insight, sound decision quality, and the ability to plan, align, and drive accountability while maintaining a high level of tech savvy and customer focus.

They build trust, develop talent, communicate effectively, and collaborate seamlessly across teams.

Expertise in data sciences and statistical analysis

Proficiency in data engineering and modern data stacks

Exceptional presentation and storytelling abilities

Education & Experience

Bachelor's degree in Data Science, Computer Science, or a related field

Minimum 5 years of relevant work experience

Minimum 2 years of leadership experience

This posting is for an existing vacancy with the organization.

AI may be used to screen, assess or select applicants for the position.

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