Senior Manager - Cobrand Product Data Analytics

About the Role

Key Responsibilities

• Leverage complex data sources to extract meaningful insights used to deliver actionable recommendations for strategic decision making.
• Manage ad-hoc projects and partner closely with Product, Marketing, Finance, Analytics, etc. to identify opportunity areas and deliver analytical solutions.
• Communicate analytics-based insights to U.S. Consumer Card leadership team and cross-functional partners to shape Co-Brand portfolio strategy.
• Structure both internal and external data efficiently to analyze trends, develop segmentations, and evaluate customer profiles.
• Develop strong relationships with internal partners to understand and help frame key business problems.

Requirements

• Experience in manipulating and extracting insights from large and complex datasets.
• Strong critical thinking abilities and analytical skills to provide insights in addressing and resolving business challenges and opportunities.
• Good understanding of card economics with proven success in driving business results via strategic analysis.
• Good quantitative skills with a solid understanding of probability and statistics.
• Sound knowledge of Machine learning algorithms, statistics, data mining, regression, and research methods.
• Strong programming skills in SQL/BigQuery; experience with an analytical language (Python, R or the equivalent) is a plus.
• Bachelor's degree required and Master's degree preferred in Analytics, Business Administration, Statistics, Mathematics, Physics, Engineering, Data Science, Quantitative Economics, or related fields.
• 3+ years of professional experience driving performance optimization through advanced decision sciences.
• Hands-on expertise using big data programming languages to manipulate large-scale datasets and perform statistical analysis.

Nice to Have

• Experience with an analytical language such as Python or R.
• Proven success in driving business results via strategic analysis.
• Ability to understand data and synthesize it into real-world meaning.

Qualifications

• Bachelor's degree required and Master's degree preferred in Analytics, Business Administration, Statistics, Mathematics, Physics, Engineering, Data Science, Quantitative Economics, or related fields.
• 3+ years of professional experience in performance optimization through advanced decision sciences.
• Strong hands-on expertise with big data programming languages such as SQL, Python, and Big Data analytic techniques.

Benefits & Perks

• Competitive base salaries
• Bonus incentives
• 6% Company Match on retirement savings plan
• Free financial coaching and financial well-being support
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• 20+ weeks paid parental leave for all parents, regardless of gender
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities