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Chase · 14 hours ago

Quant Analytics Vice President - Card Data Analytics

201 N Walnut St, Wilmington, DE, 19801, US

Full-time

Onsite

Mid, Senior Level

6+ years exp

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. The role of Vice President in the Card Data & Analytics Team involves leading analytics and insights delivery to inform strategies and drive business decisions related to Card Rewards and Benefits.

BankingFinancial Services

Responsibilities

Establish and foster partnerships across the organization to understand business requirements and objectives

Lead the creation and execution of solutions to pull and combine data from multiple sources for analysis and reporting

Analyze data from a variety of sources and identify key insights

Communicate insights to senior leaders via written and oral presentations

Collaborate with analytic and non-analytic groups and facilitate holistic, cross-functional learning

Champion data and analytics best practices across the Loyalty organization

Understand and translate business needs into data models supporting long-term solutions

Facilitate the creation of data models using best practices to ensure high data quality and reduced redundancy

Qualification

Master's degree in quantitative field6+ years business analytics experienceExpert knowledge in quantitative methodsSQLAWSSnowflakeAlteryxSASTableauPythonInnovative thinkingFinancial services experienceCommunication skills

Required

Master's degree in a relevant quantitative field (e.g., Statistics, Economics, Finance, Business Analytics, Mathematics, Engineering, Computer Science, or related fields involving significant quantitative research and data analytics)

6 + years of industry experience in business analytics roles (e.g., marketing analytics, product analytics, business insights)

6 + years of work experience across a broad range of analytics platforms, languages, and tools (Snowflake, Alteryx, SAS, Tableau, Python, Excel Pivot, etc.); hands-on experience using big data platforms required

Strong communication skills with the ability to convey complex information in an understandable, compelling, and persuasive manner to business partners

Innovative thinking capability to help internal clients define business problems, create solutions, and execute implementation

Expert knowledge in quantitative methods for business analytics