Data and Analytics - Quant Analytics Senior Associate

Next Frontier Capital; Kentucky; On-site; USD 90,000 - 120,000; Full time

Job summary

Next Frontier Capital is seeking a Quant Analytics Senior Associate in Kentucky to lead analytics initiatives within the Data and Analytics team. You will collaborate across Finance, Customer Experience, Design, Software Engineering, and Product teams to deliver analytics-driven insights.

The role requires a strong foundation in data modeling and segmentation, expertise in Alteryx/Tableau, and hands-on SQL/Python capabilities to drive strategic decisions and operational improvements.

Qualifications

• Bachelor’s degree required with strong academic record.
• 4+ years building analytical solutions integrating multiple data inputs.
• Minimum 2 years hands-on data analysis experience.
• Proficiency in data modeling, data analysis, and segmentation techniques.
• Strong experience with BI and analytics tools like Alteryx and Tableau.
• Ability to query/extract data from data lakes/databases (Snowflake, GOS, AWS Athena).
• Familiarity with SQL, Python, and Excel for data prep and analysis.
• Experience applying advanced analytics, ML, and predictive modeling to drive insights.

Responsibilities

• Lead analytics work across the organization’s data assets to inform strategic decisions.
• Ingest, clean, transform, and validate data from diverse sources for analytics and modeling.
• Scope and deliver new features to optimize customer journeys and operations.
• Identify customer interactions across channels to understand journeys and friction points.
• Use tools like Alteryx, Excel, SQL, Python, and Tableau to analyze trends and patterns.
• Prepare and present insights for executive audiences with clear recommendations.
• Collaborate with stakeholders to translate objectives into measurable analytics initiatives and lead cross-functional projects.

Skills

Data modeling

Data analysis

Segmentation

Alteryx

Tableau

SQL

Python

Excel

KPI development

Machine learning

Predictive modeling

Education

Bachelor’s degree

Tools

Alteryx

Tableau

Snowflake

GOS

AWS Athena

SQL

Python

Excel

Job description

Join a team that seeks for talented and highly motivated individual with exceptional data analysis skills.

As a Quant Analytics Senior Associate, within the Data and Analytics team, you will lead the analytics book of work and collaborate with a cross‑functional team to support the Product and work closely with partners across Finance, Customer Experience, Design, Software Engineering, and Product Ownership.

Job Responsibilities:

• Build holistic insights by integrating customer, account, digital, financial, and operational data sets to inform strategic decision-making.
• Import, clean, transform, and validate data from multiple sources to prepare for advanced analytics and modeling.
• Scope, implement, and track new features and enhancements within the collections journey to optimize customer experience and operational efficiency.
• Identify customer interactions and events across various channels to gain a deeper understanding of customer journeys and pinpoint friction points.
• Utilize a range of analytical and statistical tools—including Alteryx, Excel, SQL, Python, and Tableau—to analyze and interpret trends and patterns in complex data sets.
• Support the creation and delivery of presentations that summarize key insights and actionable conclusions, often tailored for executive audiences.
• Collaborate with business stakeholders to translate strategic objectives into actionable analytics initiatives and measurement frameworks and lead cross‑functional projects, coordinating with product, technology, and business teams to deliver impactful analytics solutions.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree required, with a strong academic background and at least 4 years of experience building analytical solutions that integrate multiple data inputs from diverse sources, particularly in Marketing, Customer Journey, Operations, or Finance; Minimum of 2 years of hands‑on experience in data analysis.
• Demonstrated technical expertise in data modeling, data analysis, and segmentation techniques.
• Proficient in Business Intelligence and analytical tools such as Alteryx and Tableau.
• Self‑sufficient in querying and extracting data from enterprise databases and data lakes, including platforms such as Snowflake, GOS, and AWS Athena.
• Analytical rigor, with the ability to synthesize information across multiple platforms, systems, and organizations, and deliver superior data analysis.
• Champion the use of advanced analytics techniques, such as machine learning and predictive modeling, to uncover deeper insights and drive innovation.
• Establish and monitor key performance indicators (KPIs) to measure the effectiveness of analytics initiatives and inform ongoing strategy.

Preferred Qualifications, Capabilities, and Skills:

• Experience developing financial business cases is highly desirable.
• Operational knowledge of Document Services Operations is a strong advantage.
• Background in analytics or experience within consumer or retail banking is preferred.
• Familiarity with AWS technologies is a plus.

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 incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most‑used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Lead the analytics book of work and collaborate with a cross‑functional team to support the Product.