Small Business Card Data Analytics Team - Quant Analytics Senior Associate

Archer

Wilmington (DE)

On-site

USD 120,000 - 160,000

Full time

16 hours ago
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Benefits offered by this job

Health care
On-site health centers
Retirement plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Job summary

Archer, in partnership with JPMorgan, seeks a Quantitative Analytics Senior Associate for the Small Business Card team. You will analyze portfolio performance, build executive reports, and translate customer behavior into insights guiding marketing strategy, resource allocation, and product innovation.

You will work with marketing, product, finance, and risk to turn complex analysis into actionable recommendations, using Python, SQL, and modern data tools to drive measurable outcomes.

Qualifications

  • Bachelor's degree in a quantitative field with 3+ years of relevant experience, or an advanced degree with 2+ years of experience.
  • Proficiency in Python for data analysis and strong SQL skills for data extraction, transformation and analysis.
  • Experience with modern data platforms and data mining to translate analysis into business actions.
  • Experience creating dashboards and reporting using Tableau/Alteryx or similar tools.
  • Ability to present analytical findings clearly to senior leaders and stakeholders.
  • Ability to collaborate with cross-functional partners and influence decisions with data-driven recommendations.
  • Familiarity with generative AI tools to improve analytics productivity.

Responsibilities

  • Manage and analyze large datasets from multiple sources to develop actionable insights and drive measurable outcomes.
  • Communicate analytical results clearly to business partners and senior leaders, tailoring messages to audiences of varying technical depth.
  • Advise on analytic approaches and work with stakeholders to solve quantitative business problems.
  • Collaborate on data models, analytics architecture, and scalable data strategies; identify data quality issues.
  • Manage deliverables with autonomy, including stakeholder engagement and process refinement.
  • Use generative AI to automate repetitive work and accelerate insight generation.
  • Evaluate AI-enabled analytics solutions for marketing acquisition and performance measurement.

Skills

Python for data analysis
SQL
Data mining
Data visualization
Cross-functional collaboration
Communication
Generative AI

Education

Bachelor's degree in a quantitative field
Advanced degree in quantitative field

Tools

Snowflake
Databricks
Tableau
Alteryx

Job description

Archer is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

Job Description

Join a team where your analytics directly shape how we acquire, engage, and serve small business customers—while helping improve product experiences and profitability through data-driven decisions.

As a Quantitative Analytics Senior Associate, within the Small Business Card team, you will assess portfolio performance, build executive-ready reporting, and translate customer behavior (spend, payment, and engagement) into insights that inform marketing strategy, resource allocation, and product innovation and partner across marketing, product, finance, and risk to turn complex analysis into clear recommendations and measurable outcomes.

Job Responsibilities
  • Manage and analyze large, complex datasets from multiple sources to develop actionable insights that drive measurable business outcomes and apply advanced analytical and data mining techniques to identify meaningful patterns and translate findings into customer behavioral insights
  • Communicate analytical results clearly to business partners and senior leaders, tailoring messages to different audiences and levels of technical depth and conduct deep-dive analyses to support marketing, finance, and broader business priorities using modern visualization and reporting tools
  • Serve as a subject matter resource for data-driven decision-making by advising on analytical approaches, methods, and measurement and partner with internal stakeholders to solve quantitative business problems, optimize performance, and deliver practical solutions to critical needs
  • Collaborate with data owners and managers to contribute to data models, analytics architecture, and scalable data strategies and identify process improvement opportunities by assessing data quality, surfacing statistical anomalies, and linking insights to business processes
  • Manage deliverables with a high degree of autonomy, including program execution, stakeholder engagement, and continuous process refinement
  • Use generative artificial intelligence and emerging tools to automate repetitive work, accelerate insight generation, and improve decision-making workflows
  • Evaluate and pilot artificial intelligence-enabled analytics solutions that support marketing acquisition strategy and ongoing performance measurement
Required Qualifications, Capabilities And Skills
  • Bachelor's degree in a quantitative field (for example: Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline) with 3+ years of relevant experience, or an advanced degree with 2+ years of experience
  • Proficiency in Python for data analysis and statistical modeling and strong SQL skills and experience extracting, transforming, and analyzing data from relational databases
  • Experience working with modern data platforms such as Snowflake, Databricks, or equivalent technologies and experience applying data mining and analytical methodologies to translate analysis into business actions
  • Experience creating dashboards, visualizations, or recurring reporting using tools such as Tableau, Alteryx, or comparable platforms
  • Demonstrated ability to present analytical findings clearly in writing and verbally to senior leaders and non-technical stakeholders
  • Demonstrated ability to collaborate effectively with cross-functional partners and influence decisions through data-backed recommendations
  • Experience using emerging technologies, including generative artificial intelligence tools, to improve analytical productivity and workflow efficiency
Preferred Qualifications, Capabilities And Skills
  • Experience developing executive-ready dashboards and performance measurement frameworks for marketing and portfolio analytics
  • Demonstrated ability to influence prioritization and decisions through structured analytics storytelling and clear recommendations
  • Experience identifying and scaling process improvements that improve data quality, repeatability, and reporting efficiency
  • Expertise with generative artificial intelligence, large language models, artificial intelligence-assisted coding tools, or workflow automation platforms

We do not offer any type of employment-based immigration sponsorship for this position. Likewise, JPMorganChase , will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

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.

  • 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

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

About Us

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.

About The Team

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.

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