Job Summary

The Card Marketing Activation & Transformation team is seeking an experienced & highly motivated Data Analyst that will focus on the development/maintenance of complexity modeling that integrates into the build of end- to- end forecast modeling across all key teams involved in the execution of a marketing campaign. This is a data intensive position that requires prior background in building predictive models, data modeling solutions, and forecasting techniques. This role also involves leveraging statistical and machine learning methods to analyze complex datasets, generate actionable forecasts, and optimize business strategies.

Job Responsibilities

• Design, build, and validate predictive models to forecast capacity requirements across various teams/roles and predict marketing campaign timelines
• Assist in the development of data models and other user tools to support analytics initiatives and ensure data integrity
• Apply statistical and machine learning techniques for time series analysis and forecasting.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
• Communicate model results, insights, and recommendations to technical and non-technical audiences
• Monitor model performance and recalibrate as necessary to maintain accuracy and relevance
• Document modeling processes, assumptions, and results for transparency and compliance
• Stay updated on the latest advancements in predictive analytics, data modeling, and forecasting methodologies

Required qualifications, capabilities, and skills

• Bachelor’s degree in a quantitative field or 3 years operational/segmentation analytics or other quantitative experience
• 4+ years of experience in engineering, statistics, mathematics, or another quantitative field
• Proficiency in programming languages such as SQL, Python, R, for statistical modelling
• Experience with data visualization tools such as Tableau and/or Power BI.
• Strong understanding of data modeling concepts, including relational and non-relational databases
• Demonstrated ability to query and analyze large datasets to provide meaningful insights.
• Ability to understand LLM models and integrate AI capabilities into operational analytics, preferable
• Strong analytical and problem-solving abilities
• Experience delivering recommendations to leadership
• Self-starter with ability to execute quickly and effectively
• Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives

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