The Manager, Marketing Decision Support will lead a team of analysts responsible for delivering both ad-hoc and recurring reports that support the marketing organization. This includes evaluating program effectiveness and calculating Marketing ROI. The team will also help establish best practices for marketing measurement, leveraging both internal and external data sources to enable timely, accurate decision-making that drives business and customer impact. This role will work closely with SBU Marketing, Digital Marketing, and Marketing Programs & Operations to ensure strong cross-functional collaboration and high-quality execution and measurement of marketing initiatives. **Responsibilities:** + Lead a team of analysts and functional data specialists to produce measurements and models to increase the efficiency and effectiveness of commercial teams. + Manage the full life cycle of analytics projects: develop and solicit requirements, prioritize projects, interpret results, and communicate findings to varying levels of management. + Serve as subject matter expert on analytic models’ implementation into business applications. + Drive development of data availability for the commercial teams and functions. + Take responsibility for MDM quality for relevant data domains. + Build strong relationships with key stake holders to foster an environment in which the team is viewed as a business partner in the achievement of financial and non-financial objectives. + Conceive, design and execute basic and complex models (descriptive, diagnostic, predictive and prescriptive) to provide insights and recommendations that drive business behavior. + Analyze customer and company data to identify trends and potential opportunities, and measure achievement toward goals, for WESCO’s customers, suppliers, operating businesses and internal functions. **Qualifications:** + Bachelor’s degree in Finance, Statistics, Information Systems, Marketing, or Mathematics required. Master’s degree in Business Administration, Information Systems or Analytics preferred. + 6 years required of analyzing data to identify insights + 4 years required of working with relational database (ex: AWS, Teradata, MS SQL Server, Azure, MS Access, etc.) + 2 years preferred of working with data science/data modeling tools (ex: SAS, Altyrex, SPSS, DataRobot, etc.) + 2 years preferred of working with business-to-business (B2B) wholesale distribution selling environments, including lead generation and sales pipelines + 2 years preferred of working with customers in construction, utility, industrial or technology infrastructure customer verticals + Critical thinking – demonstrated ability to turn data into information into insight and solve complex problems that require independent judgment with no prescribed procedures required + Excellent attention to detail, organization, supervisory and project management skills required + Demonstrated success in establishing and maintaining effective business relationships, communicating to senior levels of organizations required + Demonstrated ability to communicate complex information in a straightforward manner using precise language, especially to non-technical audiences required + Demonstrated success in managing multiple deadlines under tight timelines with multiple priorities required + Proficient in Microsoft Office Products – highly proficient in Excel required + Proficient with statistical/probabilistic calculations and concepts required + Proficient in SQL or other data-oriented programming languages required + Demonstrated success in developing/establishing advanced data models into business applications (ex: supervised & unsupervised learning models, simulation, optimization) preferred