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Manager Analytics Enablement

Job in Broomfield, Boulder County, Colorado, 80020, USA
Listing for: Sonepar Canada, Inc.
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Broomfield

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Sonepar Management Group (SMG) supports our Sonepar brands (i.e. operating companies) in the US through a shared services model. These services include, but are not limited to: human resources, finance, digital enterprise, supply chain, vendor relations, marketing, legal, and communications. The SMG teams enable our brands to do business in their local regions while taking advantage of the scale and collective resources of a global enterprise.

SMG fosters an inclusive and supportive culture. We offer leadership and development programs to help you reach your career goals. Our associates share in our collective achievements, and we firmly believe that Sonepar is “Powered by Difference.” By driving technology and innovation, enabling paths to success, and caring about our people and families, we have built a workplace where you can build a fulfilling career.

Role

Summary

The Analytics Enablement Manager is responsible for leading analytics engineers within Data Services while shaping and driving a cohesive, enterprise‑wide analytics strategy.

This leader brings a strong analytical problem‑solving mindset, broad exposure to modern analytics platforms, and a deep appreciation for technical best practices. While Sonepar operates primarily in a Microsoft Fabric / Power BI analytics ecosystem, this role also provides strategic guidance on analytical thinking and productivity across other platforms and in‑house applications, without directly managing or executing that work.

Key Responsibilities

Define and drive an enterprise analytics enablement strategy that improves analytical quality, consistency, and trust across Operating Companies and Sonepar Management Group.

Establish clear expectations and best practices for analytical problem framing, metric definition, and solution design - independent of specific tools or platforms.

Act as a strategic advisor to business and analytics leaders on when and how different analytics approaches and productivity tools should be used, based on business need and maturity.

Partner closely with Data Governance to ensure analytics practices align to a unified governance model, including standards for metrics, documentation, reuse, and ownership.

Leadership of Analytics Engineers (Data Services)

Manage and develop analytics engineers within the centralized Data Services team, setting direction for how analytical solutions are designed, reviewed, and enabled across the organization.

Promote modern analytics engineering practices, including modular design, reuse, documentation, and performance‑aware modeling.

Ensure analytics engineers are focused on enablement and leverage, not long‑term ownership of bespoke reporting.

Cross‑Organizational Enablement & Collaboration

With the Data Product Manager, support alignment between central Data Services and distributed Operating Company / Sonepar Management Group analysts, reducing fragmentation and duplicated effort.

Support analyst communities by identifying common analytical patterns, shared needs, and opportunities for standardization or reuse.

Influence without direct authority - driving alignment through clarity, shared frameworks, and strong analytical reasoning.

Help shift the organization from reactive, ad‑hoc reporting toward prioritized, outcome‑driven analytics work.

Provide strategic guidance on analytical usage of Power BI and the broader Microsoft analytics ecosystem.

Bring informed perspective on modern analytics stacks from prior experience (e.g., SQL‑based modeling, semantic layers, cloud data platforms), without requiring deep specialization in any single tool.

Understand and advise on analytical use cases related to Sonepar’s in‑house productivity applications, while not directly managing or delivering those solutions.

Required Qualifications

Strong analytical problem‑solving orientation, with the ability to translate ambiguous business questions into clear, structured analytical approaches and articulate tradeoffs and assumptions.

7+ years of experience in analytics, analytics engineering, business intelligence, or a closely related field, including experience operating in…

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