Responsibilities

• Under moderate supervision provides expertise at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives.
• Uses expert knowledge of data on customers, consumers, economy, external demand drivers, market, and competition (structured and unstructured) and internal business processes to develop analytical solutions to relatively well-defined and lower complexity business problems.
• Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences.
• Provides thought leadership and leads cross-functional teams in descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations.
• Makes use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management.
• Makes use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision-making.
• Leads cross functional projects and programs, formally preparing and presenting to management.
• Provides consultation to management on a regular basis.
• Routinely works on multiple assignments concurrently.
• Mentors less experienced staff.

Requirements

• Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research.
• Related experience may offset degree requirements and related education/degree may offset experience requirements.
• Two (2) years work experience in business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role.
• One (1) year of experience or coursework with: computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, Power BI, Spotfire, etc.
• Knowledge, Skills And Abilities: Strong problem solving, analytical, and communication skills. Directly related advanced degrees may offset experience requirements.

Preferred

• Business acumen, storytelling with data, communicate to influence.
• Project management & cross-functional collaboration.
• Customer Centric and end-to-end design, requirements analysis.
• Python, Power BI, SQL, Azure, Databricks, Agentic AI.
• Develop actionable insights for executive consumption with business analytics.
• Produce demand forecast and business plans with Machine Learning techniques, and by leveraging economic and market indicators.
• Design forecasting & insights infrastructure.

Benefits

• health, vision and dental insurance
• retirement
• tuition reimbursement