Senior Analytics Associate – Data Modernization

Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. As a core leader, you will drive product innovation, exceed expectations, and guide successful launches. This role offers the opportunity to shape the future of data and AI at scale. You’ll collaborate with talented colleagues and develop your expertise in product management and emerging technologies. Grow your career while making a difference for our customers and the firm.

 

As a Senior Analytics Associate in the Data and Analytics team, you are an integral part of the group that innovates new product offerings to modernize data for AI and advanced analytics. You will focus on building next-generation tooling that enhances metadata quality, establishes readiness for AI/ML use cases, and simplifies how data is shared and consumed across the enterprise. You guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. You combine product management expertise with strong knowledge of metadata, data systems, and emerging AI technologies to deliver solutions that make data discoverable, usable, and trusted at scale.

 

You will work closely with cross-functional teams across data foundation products, engineering, and business partners to proactively identify issues and design impactful solutions. Your leadership will help drive adoption of new functionalities and product features, ensuring our data products meet the evolving needs of the enterprise. This role provides exposure to senior business leaders and offers opportunities to influence the direction of our data and analytics strategy.

 

Job responsibilities

• Breakdown complex data problems (e.g., inconsistencies, duplication, lack of context or structure) into structured hypothesis, test plans, and solution frameworks 
• Independently explore, analyze, and manipulate data to validate approaches – using Python, SQL, or other tools 
• Shape and refine early-stage product ideas based on user needs,, platform gaps, and feasibility constraints
• Break down requirements into epics, user stories, and acceptance criteria, ensuring on-time delivery of features with measurable business impact
• Collaborate with cross-functional teams across data & analytics products, AI/ML platform, engineering, and business products to proactively identify issues and design solutions
• Contribute to product documentation, planning, and sprint cycles, while remaining deeply hands-on with data and execution

 

Required qualifications, capabilities, and skills

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; Master’s preferred
• Strong hands-on ability in Python for data manipulation, logic prototyping, or automation (e.g., using Pandas, NumPy, or similar)
• Ability to write and debug SQL queries and work with large, structured/unstructured datasets
• Familiarity with cloud environments such as AWS and Snowflake 
• Strong communication, presentation, and influencing skills; ability to collaborate and build relationships across all levels, including senior executives, in different lines of business, technology, and product teams
• Advanced MS PowerPoint and Excel skills

 

Preferred qualifications, capabilities, and skills

• Experience using lightweight NLP libraries or string processing tools in Python 
• Familiarity with metadata-related concepts, catalog APIs, data profiling
• Knowledge of emerging AI/ML technologies and their application in data products

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. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary inc