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Sr Manager, Business Analytics

Hill's Pet Nutrition
Toronto, CAN
Senior
Onsite
Discovered 2 weeks ago
SQLPythonRApplied data analyticsCommercial data modelingStatistical modeling

Full Job Posting

Role summary

Leads commercial analytics strategy for Hill’s Canada across sales, marketing, and commercial business units.

Bridges data science solutions and business needs through algorithms, predictive models, and visualization tools.

Reports to the Global Director of Business Analytics and partners with Canadian commercial leadership.

Responsibilities

  • Translate business questions into analytical problems, set scope, and communicate technical concepts to non-technical audiences.
  • Lead Canadian Data Analysts and Business Intelligence Engineers; define business cases, value, and KPIs.
  • Provide data-backed recommendations on customer, channel, and brand performance.
  • Develop and implement predictive models and machine-learning algorithms using Python, R, and SQL; validate and monitor model performance.
  • Apply analytics to pricing, promotions, assortment, and customer targeting.
  • Own the analytics roadmap, prioritize use cases, set timelines, and manage end-to-end initiatives.
  • Build automated reporting tools and dashboards using visualization platforms such as Domo, Google Data Studio, and Sigma.
  • Partner with commercial teams and IT/Data Engineering on data architecture, pipeline integration, and quality assurance.

Required qualifications

  • Bachelor’s degree in Business Analytics, Statistics, Computer Science, Finance, Data Science, or a related quantitative field.
  • At least 5 years of hands-on applied data analytics, commercial data modeling, and computer programming experience.
  • At least 2 years leading teams or cross-functional project execution.
  • Strong SQL proficiency and coding experience in Python or R for data extraction, manipulation, and statistical modeling.
  • Sales or marketing analytics background and ability to solve ambiguous business problems with commercial stakeholders.
  • Strong communication and data storytelling skills, including presenting concise insights to senior leadership.

Preferred qualifications

The source description is truncated after the beginning of the preferred qualifications section; no preferred criteria are available.

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