About the job
The Card Marketing Activation & Transformation team is seeking an experienced & highly motivated 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. As a Solutions Analyst, you will leverage statistical and machine learning methods to analyze complex datasets, generate actionable forecasts, and optimize business strategies.
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
Qualifications
Minimum
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.
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
Preferred
Ability to understand LLM models and integrate AI capabilities into operational analytics, preferable