Business Analyst II - Card Marketing Activation

Job Summary

The Card Marketing Activation & Transformation team is seeking an experienced & highly motivated  Business Analyst that will focus on the development/maintenance of  capacity modeling  that supports 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 operations analytics, data mapping & discovery, and forecasting techniques. This role also involves building machine learning capabilities 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