Time Series Demand Forecasting Consultant

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join the dynamic Workforce Planning organization, highlighting the chance to deliver quantitatively driven solutions and contribute to a team that supports various functions. The Workforce Planning (WFP) organization it is a part of Consumer and Community Banking (CCB) Operations division. The Workforce Planning (WFP) Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support).

As a Time Series Demand Forecasting Associate in Workforce Planning, you will be responsible for forecasting contact center demand at the daily and monthly time interval out to several years to assist with resource planning across Consumer and Community Banking operations. You will be focused on time-series forecasting, inferential statistics, data analysis and consulting with stakeholders to understand and explain our dynamic business. You will apply operational analytics and strategy tools to enhance the integrated planning process, identify enhancements to the overall forecasting process while supporting the development of analytical tools. You will also provide business insights needed in ensuring that forecasts are appropriately planned and in line with expectations so that our contact center network is optimally staffed, service goals are being met, and budgets are appropriately planned.

Job responsibilities:

• Identify opportunities to enhance existing call volume and productivity forecasting process.
• Regularly assess the accuracy of forecasts by comparing them with actual outcomes, implement improvements based on findings, and use common sense approaches to explain changes and reasons for error.
• Possess strong interpersonal skills for partnering with various levels of the organization and influencing results.
• Provide analytical leadership to cross-functional team structure that prepares detailed integrated forecasts across multiple lines of business, and segments.
• Taking complex results and communicating them in an easily understood way, focusing on how specific results fit into the bigger picture.
• Explore opportunities for creating frameworks for automation using Python.
• Keep abreast of industry trends, emerging technologies, and best practices in forecasting to ensure the organization remains competitive and innovative in its approach.

Required qualifications, capabilities, and skills:

• Applied knowledge of 3+ years' experience in business planning and processes: significant forecasting experience, and strong modeling background required.
• Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data.
• MS/PHD Degree in quantitative discipline such as Statistics, Economics, Applied Math, Computer Science, Data Science or Engineering
• Hands on experience delivering descriptive statistics, inference, and visualizations to communicate with partners and stakeholders.
• Quantitative Mindset: Strong operational analytic/strategy mindset to identify opportunities and solve them through data and business insights using advanced mathematical approaches.
• Strong analytical, interpretive, and problem-solving skills with the ability to interpret large amounts of data and its impact in both operational and financial areas.
• Data Analytics and Software Proficiency: Experience leveraging analytical and statistical tools such as time series, regression, and other forecasting techniques using Python, R, or SAS.
• Superior written and oral presentation / communication skills - the ability to convey complex information simply and clearly to senior leadership.
• Demonstrated understanding of business value drivers and aligning teams to achieve business objectives.
• Hands-on experience and theoretical understanding of time-series forecasting & advanced statistics like Moving Average, Exponential Smoothing, Auto-Regression and Regression.

Preferred qualifications, capabilities, and skills:

• Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
• Experience with Spark, Trifacta, HiveQL, Alteryx, and SAS
• Experience in conducting both exploratory and explanatory analyses, with the ability to deliver clear and effective presentations to stakeholders.
• Advanced knowledge of Call Center Operations, Contact Center Metrics, and Workforce Planning practices.
• Strong applied technical skills in Python are preferred, with a willingness to transition from SAS or R if necessary.

Additional information:

• Visa sponsorship is not available for this position.
• Work schedules will be full-time in office, on a 40-hour per week schedule.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.