Solutions Analyst â Operations Predictive Modeling & Forecasting

Job Summary

The Card Marketing Activation & Transformation team is seeking an experienced and highly motivated Analyst that will focus on the development and maintenance of complex 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 a prior background in building predictive models, data‑modeling solutions, and forecasting techniques.

As a Solutions Analyst, you will leverage statistical and machine learning methods to analyze complex datasets, generate actionable forecasts, and optimize business strategies.

• 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

• 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 the ability to interact with individuals across departments/functions and with senior level executives

Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting.

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.