Responsibilities

• Assists in synthesizing analytical views reports and insights from various business dimensions in support of designing business strategies related to business plans, actual or forecast enterprise performance, products, channels, automation types, industry, competition, market and customer segments.
• Reviews and optimizes go-to-market tactics related to specific target customers, markets and products in terms of marketing communication and sales calls.
• Leads teams with peer partners from other groups.
• Independently attends cross-functional meetings and discussions to provide business guidance based on analytical insights to peers and managers of partner teams.
• Demonstrates excellence in computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science, or other quantitative field such as engineering/operations research), and programming languages (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. Power BI, Tableau, Spotfire).
• Mentors and trains professionals in less senior positions within the team on quantitative data analysis and utilization of above computer resources.
• Provides updates, reports, and analytical presentations to upper management across the enterprise.
• Performs other duties as assigned.

Requirements

• Master’s degree in business, mathematics, economics, computer science, or a related quantitative field, such as engineering, or operations research required. Related experience may offset degree requirements and related education/degree may offset experience requirements.
• Three (3) years of work experience required in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role.
• Two (2) years of experience or coursework with the following skills (skills can be gained concurrently with education): computer aided decision support (utilize computer languages or packages to analyze data and generate reports, presentations or insights in business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research), and programming languages (e.g. SAS, SQL, Python, C, VB.net, Java, JavaScript or R), relational databases (e.g. Teradata, Oracle) or visualizations tools (e.g. PowerBI, Tableau, Spotfire).
• Strong human relations, communication, and analytical skills. Directly related advanced degrees may offset experience requirements.

Preferred

• Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations.
• Ability to communicate highly complex information in an understandable manner to both technical and non-technical audiences at all levels.