Develop, plan, and execute scalable analytical frameworks to drive innovation across the Data & Analytics community at Chase
Requirements
- Proficient in data science tools (e.g., SQL, Python, R)
- Experience with Adobe Analytics, Tableau, Alteryx, Split.io, Snowflake, and AWS preferred
- Strong understanding of technical concepts and knowledge of data usage and structures
- Ability to define business KPIs, establish measurement frameworks, design and analyze controlled experiments (A/B testing)
- Proven thought leader in analytics, capable of framing business questions and executing analytical plans
- Ability to work independently and in teams, with attention to detail and strategic thinking
- Ability to convey complex information to senior executives
Responsibilities
- Rapidly develop hypotheses, conduct analysis, and prioritize key insights to drive strategic decisions
- Deliver compelling data narratives with actionable recommendations
- Be on the leading edge of developing and using new data, demonstrating its value, and scaling usage across the firm
- Utilize strategic, analytical, and data skills to address enterprise challenges and shape the future of Digital Data Analytics
- Develop and implement scalable data frameworks that align with strategic priorities and business opportunities
- Translate analytical and AI/ML ambitions into data usage needs and requirements for products, data, and technology at scale
- Communicate complex data-driven insights to executive leadership, driving innovation and strategic decision-making for the digital platform
Other
- 7+ years of related experience (e.g., digital, customer, marketing, sales analytics)
- Bachelor's in a quantitative field (e.g., Statistics, Economics, Data Science); advanced degree preferred
- Strong interpersonal skills to align diverse views and lead cross-functional teams
- Excellent at conveying complex information to senior executives
- Financial services experience preferred, but not required
