Capital One
DataAnalysisManager-MarketingandMessagingOperations
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Analysis Manager - Marketing and Messaging Operations at Capital One. Skills: Data analysis, Statistical modeling, Leadership. Drive current and future strategy. Assist with building models”
What You'll Achieve.
See end results
Industry & Context.
Problem solving; Conceptual thinking
Little travel involved
What They're Looking For.
Must Have
Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date, At least 4 years of experience performing professional data analysis work, At least 4 years of experience performing programming
Nice to Have
Master's Degree in a Science, Technology, Engineering, Mathematics discipline, At least 7 years of professional data analysis work experience, At least 4 years of experience with Python, R, Spark or SQL, At least 1 year of experience in people management, At least 1 years of project management experience, At least 1 year of experience in Tableau, Proficient utilizing and developing within AWS service
What You'll Do.
Drive current and future strategy
Assist with building models
Work with vast amounts of data
Develop brand in new markets
Leverage analytics for customer experience
Manage full project life cycle
Mine data for crucial information
Identify process improvements
Identify data improvements
Identify reporting improvements
Work with complex databases
Improve operational efficiencies
Improve operational effectiveness
Conduct analysis to evaluate processes
Conduct analysis to evaluate tests
Extract data to gauge product offerings
Analyze data to gauge product offerings
Consult on new production systems
Consult on data storage systems
Develop strategic tests
Implement strategic tests
How You'll Work.
Team & Collaboration
Collaborate across business units; Work with top talent; Work independently and in teams
Communication Scope
Communication skills
Process & Methodology
Project management
Full Job Description
Data Analysis Manager - Marketing and Messaging Operations Join the Marketing and Messaging Operations team at the very center of the Marketing Imperative as we transform how we market to millions of customers. As we migrate to target state platforms and integrate AI capabilities into our processes, your innovative problem-solving will be pivotal in shaping the future of our delivery landscape. Step in and make a massive impact during this exciting foundational journey! At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. What you’ll do: * Drive current and future strategy by leveraging your analytical skills * Assist with building and using models to test and validate data * Work with vast amounts of data in new and evolving environments * Be a part of growing and developing our brand in new and emerging markets * Leverage analytics to create a customer experience above our peers * Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers * Be a part of the full life cycle of projects and see end results * Collaborate across business units * Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority * Experience real work life balance, with little travel involved On any given day you will be: * Mining data to arrive at specific and crucial information for the organization * Identifying and implementing process, data, and reporting improvements for the organization * Working with large and complex databases containing millions to billions of records * Impr
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