Manager, Marketing and Sales Support Analytics - Shelton, CT

Manager, Marketing and Sales Support Analytics - Shelton, CT

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Job Overview

The Manager, Marketing and Sales Support Analytics is a strategic and operational leader responsible for driving data integrity, reporting excellence, and platform enablement across the organization. This role oversees a team focused on platform sales and commission reporting, application development, data governance, and production support, ensuring accurate, timely, and actionable insights for business decision‑making. The manager partners closely with cross‑functional stakeholders to translate evolving business requirements into scalable reporting solutions and applications, prioritises initiatives, manages delivery timelines, and communicates effectively with business leaders to align expectations.

The role is responsible for mentoring and growing a high‑performing team, fostering technical expertise, problem solving, and professional development. Reports to the Director of Marketing and works closely with the VP‑GM, VP Product Development, Sales Leadership, Directors of Product Marketing, Finance, Operations, IT, and Customer Experience.

A Day In The Life

• Requirements Gathering & Analysis:
  Collaborate with stakeholders across Finance, Marketing, and Sales to capture comprehensive platform reporting requirements, including commission reporting for all Hubbell Electrical Products businesses. Translate business needs into actionable reporting solutions using BI tools.
• Solution Design & Delivery:
  Develop and implement scalable reporting solutions and dashboards that provide accurate, timely, and actionable insights. Ensure alignment with organisational goals and compliance with data governance standards.
• Sales Organization Incentive Plans:
  Coordinate all aspects of field commission reporting including quota development and commission reporting, ensuring accurate reporting and compliance tracking.
• Customer Incentive Program Management:
  Coordinate all aspects of customer incentive program implementation, including accurate reporting and compliance tracking.
• Data Management & Quality Assurance:
  Oversee monthly point‑of‑sale (POS) data collection, cleansing, and validation processes to ensure data accuracy and integrity.
• Team Leadership & Prioritization:
  Set clear priorities for direct reports to balance production support with project‑based work and communicate project statuses, timelines, and analytical priorities effectively.
• Performance Management & Staff Development:
  Monitor team performance through technical reviews, training programs, and regular feedback, fostering professional growth and maintaining high standards of quality and accountability.
• Business Process Enablement:
  Provide guidance to functional areas on leveraging data products to optimise workflows and enhance operational efficiency.
• Requirements Documentation & Communication:
  Capture and document functional and technical requirements, convert them into detailed specifications, validate with the business, and develop training materials and communication plans.
• Compliance & Governance:
  Monitor all development activities to ensure adherence to established guidelines and policies.
• Stakeholder Engagement & Communication:
  Promote awareness of data initiatives and digital products across the marketplace and supply chain.

What will help you thrive in this role?

• Bachelor’s Degree in Business, Information Systems, Computer Science, Data Analytics, or a related field is required. Preferred:
  Master’s Degree in Business Administration (MBA), Data Analytics, or Information Technology.
• Seven to ten years of progressive experience in eBusiness, data analytics, platform reporting, and application development, with a strong background in project management and business intelligence.
• Expertise in SAP, Power BI (Advance Dax, Power Query), and Paginated Reports. Experience with git source control and CI/CD principles to data operations is a plus. Advanced SQL skills; familiarity with relational and cloud‑based databases (e.g., SQL Server, Azure SQL). Applied…