Time Series Demand Forecasting Consultant

JPMorgan Chase & Co. • Wilmington, DE

3d • Onsite

About The Position

The Time Series Demand Forecasting Associate in Workforce Planning is responsible for forecasting contact center demand at daily and monthly intervals, extending several years into the future, to support resource planning across Consumer and Community Banking operations. The role focuses on time-series forecasting, inferential statistics, data analysis, and consulting with stakeholders to understand and explain changing business conditions.

The position applies operational analytics and strategy tools to improve integrated planning, identify enhancements to forecasting processes, and support development of analytical tools. It provides insights to help ensure forecasts are appropriately planned and aligned with expectations so that contact centers are optimally staffed, service goals are met, and budgets are appropriately planned. The role is part of the Workforce Planning Data Science organization, which delivers quantitative solutions supporting demand forecasting, capacity planning, resource scheduling, and business analysis and support.

The schedule is full-time, in-office, 40 hours per week. Visa sponsorship is not available.

Requirements

• At least 3 years of experience in business planning and processes, including significant forecasting experience and a strong modeling background.
• Strong analytical, interpretive, and problem-solving skills, including the ability to interpret large amounts of data and understand operational and financial impacts.
• MS or Ph.D. in a quantitative discipline such as Statistics, Economics, Applied Mathematics, Computer Science, Data Science, or Engineering.
• Hands-on experience delivering descriptive statistics, inference, and visualizations to communicate with partners and stakeholders.
• A quantitative and operational analytics/strategy mindset, with the ability to identify opportunities and solve problems using data, business insights, and advanced mathematical approaches.
• Experience using analytical and statistical tools and forecasting techniques such as time series and regression, with Python, R, or SAS.
• Superior written, oral, presentation, and communication skills, including the ability to convey complex information clearly to senior leadership.
• Demonstrated understanding of business value drivers and ability to align teams to achieve business objectives.
• Hands-on experience and theoretical understanding of time-series forecasting and advanced statistics, including moving average, exponential smoothing, autoregression, and regression.

Nice To Haves

• Experience with big-data technologies such as Hadoop, Spark, and SparkML, and familiarity with basic data-table operations such as SQL and Hive.
• Experience with Spark, Trifacta, HiveQL, Alteryx, and SAS.
• Experience conducting exploratory and explanatory analyses and delivering clear, effective presentations to stakeholders.
• Advanced knowledge of call center operations, contact center metrics, and workforce planning practices.
• Strong applied technical skills in Python, or willingness to transition from SAS or R.

Responsibilities

• Identify opportunities to enhance existing call volume and productivity forecasting processes.
• Assess forecast accuracy by comparing forecasts with actual outcomes, implement improvements based on findings, and explain changes and forecast errors using sound judgment.
• Partner with stakeholders at various organizational levels and influence results.
• Provide analytical leadership to cross-functional teams preparing detailed integrated forecasts across multiple lines of business and segments.
• Communicate complex results clearly and explain how specific findings fit into the broader business context.
• Explore opportunities to create automation frameworks using Python.
• Monitor industry trends, emerging technologies, and forecasting best practices to help the organization remain competitive and innovative.

Benefits

• Competitive total rewards package, including base salary based on role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level