Senior Analyst - Commercial Analytics

As a Senior Analyst - Commercial Analytics you will be responsible for providing reports and analytical support around internal systems data (sales & margin, purchases, inventory, etc.) and helping to drive business measurement and opportunity identification in commercial functions. You will complete reporting projects end-to-end by gathering requirements, designing solutions, extracting data and deriving insights. You will work cross-functionally and cross-organizationally to ensure reporting quality and consistency in reporting activities in internal systems as well as delivering external data collection and market, customer and competitor insights for leaders and decision makers. You will be skilled in data collection, data analysis, data synthesis and insights communication (explaining conclusions clearly and concisely with an ability to tie results back to standard business and financial KPIs).

Responsibilities:

• Execute regular and ad-hoc reports in support of commercial teams.
• Design & build data visualizations, reports and dashboards in team BI tools to be shared with internal audiences.
• 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.
• Conduct research to support business decision making, with emphasis in sales and marketing activities.
• Collect, enter and maintain data pertaining to business performance, customer behavior, market intelligence and/or competitive intelligence.
• Support commercial and cross-functional project teams with data, analysis, information and insights.
• Lead cross-functional project teams on analytical projects.
• Collaborate with other analysts on reporting or analysis projects.

Qualifications:

• Bachelor’s degree in Finance, Statistics, Information Systems, Marketing, or Mathematics required. Master’s degree in Business Administration, Information Systems or Analytics preferred.  
• 4 years required of analyzing data to identify insights
• 2 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
• 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
• Highly proficient in mathematical calculations and concepts (algebra, geometry) required
• Proficiency in Microsoft Office Products – highly proficient in Excel required
• Demonstrated ability to communicate complex information in a straightforward manner using precise language, especially to non-technical audiences required
• Proficiency with statistical/probabilistic calculations and concepts required
• Proficiency in SQL or other data-oriented programming languages required
• Familiarity with data science concepts (ex: supervised & unsupervised learning models, simulation, optimization) required; proficiency preferred