1

Associate Data Analyst Jobs in Delaware (NOW HIRING)

Data Domain Architect Associate

Wilmington, DE · On-site

$61.75 - $79.50/hr

  • Medical

  • Retirement

You are analytical, data-driven, and technical. You have strong communication skills and are able ... As a Data Domain Architect Associate on the CCB Finance Data & Insights Team, you will assist in ...

Data Domain Architect Associate

Wilmington, DE · On-site

$61.75 - $79.50/hr

  • Medical

  • Retirement

You are analytical, data-driven, and technical. You have strong communication skills and are able ... As a Data Domain Architect Associate on the CCB Finance Data & Insights Team, you will assist in ...

Data Domain Architect Associate

Wilmington, DE · On-site

$61.75 - $79.50/hr

  • Medical

  • Retirement

You are analytical, data-driven, and technical. You have strong communication skills and are able ... As a Data Domain Architect Associate on the CCB Finance Data & Insights Team, you will assist in ...

Data Domain Architect Associate

Wilmington, DE

$61.75 - $79.50/hr

  • Medical

  • Retirement

You are analytical, data-driven, and technical. You have strong communication skills and are able ... As a Data Domain Architect Associate on the CCB Finance Data & Insights Team, you will assist in ...

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

  • Medical

  • Retirement

Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * In-depth knowledge of advanced machine learning ...

CCB Risk Program Associate

Wilmington, DE

$57K - $57K/yr

  • Medical

  • Retirement

Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * In-depth knowledge of advanced machine learning ...

CCB Risk Program Associate

Wilmington, DE · On-site

$135K - $165K/yr

  • Medical

  • Retirement

Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis. * In-depth knowledge of advanced machine learning ...

Senior Associate, Fraud Strategy Analyst

Newark, DE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

What You'll Contribute As the Fraud Strategy Senior Associate , you will support fraud analytics ... Gather, clean, and prepare data for analysis, ensuring accuracy and consistency across fraud and ...

Showing results 21-40

Associate Data Analyst information

See Delaware salary details

$34K

$82.7K

$136.1K

How much do associate data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for associate data analyst in Delaware is $82,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,100.00 per year, depending on experience, location, and employer.

Is an associate data analyst in data analytics worth it?

An associate data analyst role provides foundational experience in data collection, analysis, and visualization using tools like Excel, SQL, and Tableau. It can lead to career growth in data analytics or related fields, with entry-level salaries typically ranging from $50,000 to $70,000 annually depending on location and industry. Gaining certifications such as Microsoft Data Analyst Associate can enhance job prospects and earning potential.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

Can I be an associate data analyst with no experience?

Entry-level associate data analyst positions often do not require prior experience and may focus on foundational skills such as Excel, SQL, or basic data visualization. Candidates with relevant coursework, certifications, or strong analytical aptitude can qualify even without professional experience.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Delaware?

The most popular types of Data Analyst jobs in Delaware are:

What are popular job titles related to Associate Data Analyst jobs in Delaware?

For Associate Data Analyst jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Associate Data Analyst jobs in Delaware look for?

The top searched job categories for Associate Data Analyst jobs in Delaware are:

What cities in Delaware are hiring for Associate Data Analyst jobs?

Cities in Delaware with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Delaware as of August 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 94% In-person, 2% Hybrid, and 4% Remote job distribution, with an average salary of $82,711 per year, or $39.8 per hour.

Quant Analytics Senior Associate - Card Data Analytics

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 4 hours ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description


Job Summary
You'll join the Card Data & Analytics team, a strategic partner to the Card organization using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, you'll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Chase Card portfolio.
As a Quantitative Analytics Senior Associate at JPMorganChase within the Card Data & Analytics organization, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will assess portfolio performance to uncover optimization opportunities and translate customer behavioral data-including spend, payment, and engagement patterns-into insights that shape marketing strategies and enhance card profitability through targeted campaigns and product innovations. You'll collaborate across marketing, product, finance, and risk to turn complex analyses into clear recommendations that influence resource allocation, campaign strategy, and portfolio management.
Job responsibilities
  • Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
  • Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
  • Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
  • Conduct sophisticated analysis and deliver tactical and strategic insights across marketing, finance, and business functions using modern visualization and reporting tools
  • Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies
  • Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs
  • Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies
  • Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency
  • Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders

Required qualifications, capabilities and skills
  • Bachelor's degree in a quantitative field such as 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
  • Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels
  • Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives
  • Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation
  • Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms
  • Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data
  • Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives
  • Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions
  • Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences

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 business recommendations
  • Experience working with cross-functional partners in marketing, product, finance, and risk to deliver measurable business outcomes
  • Experience identifying and scaling process improvements that enhance data quality, repeatability, and reporting efficiency

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.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom