Senior Analyst, Retail Cobrand Analytics

Job Description

Job Description What is the opportunity? We are seeking a highly analytical and detail-oriented individual to join our team as a Retail Co-brand & Product Analytics Analyst. This role will be instrumental in providing data-driven insights and reporting to support our retail co-brand partnerships and product analytics initiatives. The successful candidate will collaborate closely with cross-functional teams, including retail co-brand, finance, acquisitions, card product teams to drive informed decision-making and optimize campaign performance. What will you do? Retail Co-brand Analytics (50%) Develop and maintain comprehensive reports and dashboards to track key performance indicators (KPIs) for retail co-brand partnerships Analyze campaign performance, customer behavior, and market trends to provide actionable insights and recommendations Collaborate with co-brand partners and internal stakeholders to define business requirements and translate them into analytical solutions Support the development and execution of targeted marketing campaigns by providing data-driven insights Monitor and analyze competitor activities and market trends to identify opportunities and risks Product Analytics (50%) Assist in building and maintaining dashboards and reports to support the broader cards team Analyze product performance, customer segmentation, and usage patterns to drive product optimization Collaborate with product managers and business stakeholders to define and track product KPIs Develop ad-hoc analyses and insights to support product development and marketing initiatives What do you need to succeed? Must have: Bachelor's degree in Business, Economics, Statistics, or a related field 2 years of experience in analytics, reporting, or a similar role, preferably in the financial services or retail industry Proficiency in data analysis and visualization tools. PowerBI experience preferred Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams Nice to have: Experience with statistical analysis and data modeling techniques is a plus Familiarity with retail co-brand partnerships and marketing campaigns Knowledge of financial services products, particularly credit cards Experience with SQL, Python or other programming languages for data manipulation and analysis What’s in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. A comprehensive Total Rewards Program of flexible benefits, unlimited commission pay, and pension options World-class training programs and career development opportunities The advantage of working with a dyn

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