Manager Analytics Enablement

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.

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.
• 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:
• Support alignment between central Data Services and distributed Operating Company / Sonepar Management Group analysts, reducing fragmentation and duplicated effort.
• Identify 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.
• Tooling & Platform Perspective (Non-Operational):
• 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 complex, matrixed organizations.
• Demonstrated experience leading or influencing analytics engineers, analysts, or analytics communities through standards, coaching, and enablement.
• Proven exposure to modern analytics platforms and practices across multiple environments (e.g., cloud data platforms, semantic modeling, analytics engineering, BI tools), with the ability to apply best practices pragmatically.
• Strong understanding of analytics governance concepts, including metric consistency, reuse, documentation, data product ownership, and lifecycle management.
• Able to operate effectively across centralized and federated analytics models, balancing autonomy with enterprise consistency.
• Excellent communication skills, with the ability to engage credibly with technical teams, business leaders, and senior executives.
• Comfort influencing without authority and navigating organizational ambiguity while maintaining focus on outcomes.
• Understanding of modern analytics architecture concepts, including data transformation patterns, semantic/metrics layers, and analytical model design.
• Familiarity with analytics development best practices such as version control, peer review, and environment promotion, sufficient to guide standards and reviews.

Preferred Experience

• Experience working across multiple companies or industries, with exposure to varying levels of analytics maturity.
• Background in analytics engineering, data analytics, or business intelligence with strong grounding in technical best practices (not just report development).
• Experience supporting or enabling distributed analyst communities.
• Familiarity with Power BI and the Microsoft Fabric ecosystem, paired with openness and credibility across other modern analytics tools and approaches.
• Experience working with relational databases and analytical data stores, including writing and reviewing SQL and understanding performance considerations.
• Working knowledge of Python for analytics, automation, and data transformation use cases.
• Foundational understanding of data engineering concepts, including data movement, transformations, and dependency management (hands-on expertise not required).

What We Offer

• Great family-friendly benefits to full-time associates: Healthcare plans, Dental & vision, Paid time off, Paid parental leave, 401(k) retirement savings with company match, Professional and personal development programs, Opportunity to become a shareholder, Employer-paid short- and long-term disability, Employer-paid life insurance for spouse and dependents, Robust wellness program, Gym reimbursement, Employee Assistance Program (EAP)
• We are proud to be a military-friendly company, and our many employee resource groups (ERGs) help you make connections and feel supported.