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Associate Analyst Jobs in Delaware (NOW HIRING)

Responsibilities As an Associate Support Analyst Intern with the Berkley Experience and Support Team, you will have an opportunity to gain first-hand experience, receive valuable on-the-job training ...

Responsibilities As an Associate Support Analyst Intern with the Berkley Experience and Support Team, you will have an opportunity to gain first-hand experience, receive valuable on-the-job training ...

Analyst

Wilmington, DE · On-site +1

$65K - $75K/yr

We are hiring for multiple levels of seniority for this position starting at an associate level and ... Analyze PBM pricing, guarantees, and proposal responses to identify key cost and performance ...

Associate is expected to meet or exceed department level benchmarks for productivity and quality. May provide support and training to other analysts within the department. Has thorough knowledge of ...

Senior Associate, Data Analyst & BI

Wilmington, DE

$83.50K - $105.30K/yr

We're seeking a future team member for the role of Senior Associate Data Analyst & BI to join our team. This role is located in Wilmington DE. In this role, you'll make an impact in the following ...

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Associate Analyst information

See Delaware salary details

$3.3K

$6.3K

$9K

How much do associate analyst jobs pay per month?

As of May 30, 2026, the average monthly pay for associate analyst in Delaware is $6,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $5,716.67 and $6,716.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Associate Analyst, and why are they important?

To thrive as an Associate Analyst, you need strong analytical abilities, attention to detail, and a relevant degree in fields like finance, economics, or business. Familiarity with data analysis tools such as Excel, SQL, or business intelligence platforms, along with experience in data visualization software, is often required. Excellent communication, problem-solving skills, and the ability to collaborate effectively help distinguish top performers in this role. These skills are crucial for accurately interpreting data, providing actionable insights, and effectively supporting decision-making processes within an organization.

What are some common challenges Associate Analysts face when transitioning from academic settings to a professional environment?

Associate Analysts often find that adapting to the fast-paced, deadline-driven nature of professional environments can be challenging compared to academic settings. Unlike structured coursework, projects in the workplace may require juggling multiple tasks, collaborating across departments, and responding to shifting priorities. Developing strong communication and time management skills is essential, as is learning to interpret and present data insights tailored to business needs. Support from more experienced team members and training programs often help new analysts bridge the gap and succeed in their roles.

What are Associate Analysts?

Associate Analysts are entry- to mid-level professionals who support senior analysts or managers by conducting research, analyzing data, and preparing reports in their area of expertise. They often work in fields such as finance, business, marketing, or data analysis. Their responsibilities typically include gathering and interpreting data, identifying trends, and providing actionable insights to help organizations make informed decisions. This role is ideal for individuals looking to build analytical skills and gain experience in their chosen industry.

What is the difference between Associate Analyst vs Data Analyst?

AspectAssociate AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with certifications in data tools
Work EnvironmentEntry-level, team-based, corporate or consulting settingsData-focused, analytical tasks, often in tech, finance, or healthcare
Employer & Industry UsageCommon in finance, consulting, and corporate sectorsWidespread across industries like finance, marketing, healthcare

The main difference between an Associate Analyst and a Data Analyst lies in their scope of responsibilities and experience level. Associate Analysts typically handle supporting tasks and data collection, while Data Analysts focus more on interpreting data and generating insights. Both roles require similar educational backgrounds and certifications, but Data Analysts usually have more advanced technical skills and experience.

What are the most commonly searched types of Analyst jobs in Delaware? The most popular types of Analyst jobs in Delaware are:
What are popular job titles related to Associate Analyst jobs in Delaware? For Associate Analyst jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Associate Analyst jobs in Delaware look for? The top searched job categories for Associate Analyst jobs in Delaware are:
What cities in Delaware are hiring for Associate Analyst jobs? Cities in Delaware with the most Associate Analyst job openings:
What are popular job titles related to Associate Analyst jobs in DE? For Associate Analyst jobs in DE, the most frequently searched job titles are:
Analytics Solution Associate

Analytics Solution Associate

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 19 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

45th of 141 rated banks


Job description

Job Description
Join a team where your analytical expertise directly shapes how millions of customers experience their financial products. In this role, you'll work at the intersection of data, automation, and AI-enabled innovation - building the tools and workflows that keep critical pricing operations running with precision and scale.
As an Analytics Solution Associate in the Card Pricing Execution team, you will provide oversight and analytical support for critical pricing functions including fees, interest, product trade, and refund processing. You will review, analyze, and disposition control monitoring exceptions while collaborating with senior analysts and pricing managers to build and maintain tools that optimize execution processes and drive departmental performance. This is a high-impact role for someone who takes ownership end-to-end and thrives in a fast-paced, data-driven environment.
Job Responsibilities:
  • Review and disposition exceptions across critical pricing control functions - including fees, interest, product trade, and refunds - ensuring accuracy and timely resolution from identification through closure.
  • Develop automated analytical workflows using SAS, Alteryx, Python, and SQL to triage, prioritize, and disposition exceptions more efficiently.
  • Build and maintain scalable automated workflows leveraging tools such as Alteryx, Python, SQL, Snowflake, and related data platforms.
  • Evaluate and ideate opportunities to apply AI, generative AI, and intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency.
  • Support the development of monitoring and decision-support solutions, including rule-based automation, anomaly detection, and AI-assisted productivity use cases.
  • Collaborate with senior analysts, pricing managers, and cross-functional teams to resolve customer-facing issues, support remediations, and respond to pricing-related business inquiries.
  • Present complex analytical findings and process recommendations clearly and compellingly to process owners and business stakeholders at all levels.
  • Manage multiple priorities and deliverables simultaneously, ensuring projects are completed on time without compromising quality.

Required qualifications, capabilities, and skills:
  • Bachelor's degree in statistics, economics, mathematics, engineering, or a related analytical field.
  • Demonstrated experience developing automation frameworks and end-to-end analytical solutions using Alteryx, Python, SAS, and Snowflake.
  • 5+ years of experience with SAS, Snowflake, and/or Python for data analysis, automation, workflow optimization, or reporting enhancements.
  • Ability to resolve complex assignments with minimal supervision in a fast-paced, highly dynamic environment.
  • Strong verbal, written, and presentation communication skills with the ability to convey complex information clearly to diverse audiences.
  • Proficiency in Microsoft Office applications, with advanced Excel skills.
  • Knowledge of mainframe systems such as TSYS.
  • Experience with AI-enabled operational transformation, workflow orchestration, and reporting automation, including intelligent automation and generative AI productivity use cases.

Preferred qualifications, capabilities, and skills:
  • Experience in card pricing, financial products, or banking analytics.
  • Familiarity with enterprise AI enablement, LLM-assisted workflows, or automation transformation programs.
  • Exposure to anomaly detection concepts and rule-based decision automation in a financial services context.

Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting.
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.
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
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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