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Data Associate Jobs in Delaware (NOW HIRING)

Adecco is actively recruiting for Data Processor positions with Citi in Newark, DE. In this role ... In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other ...

Snowflake Data Engineer

Wilmington, DE · On-site

$106K - $177K/yr

Build, manage, and optimize Snowflake data warehouses, including schema design, performance tuning ... Associate's degree and a minimum of 5 years' systems development and/ or application development ...

Snowflake Data Engineer

Wilmington, DE · Hybrid

$106K - $177K/yr

Build, manage, and optimize Snowflake data warehouses, including schema design, performance tuning ... Associate's degree and a minimum of 5 years' systems development and/ or application development ...

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Data Associate information

See Delaware salary details

$14

$33

$56

How much do data associate jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for data associate in Delaware is $33.10, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $39.23 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and use tools like Excel or database software to support data analysis and reporting tasks.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, making strategic decisions, and applying domain knowledge, which AI currently cannot fully replicate. The role is evolving to include skills in AI tools and data visualization software.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

A data analyst needs strong analytical skills to interpret data accurately, proficiency in tools like Excel, SQL, or Python for data manipulation, and good communication skills to present findings clearly. Familiarity with data visualization and statistical knowledge also enhance their effectiveness in the role.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

Is data entry a permanent job?

Data entry positions can be either permanent or temporary, depending on the employer and the nature of the role. Permanent data associate jobs typically offer ongoing employment with benefits, while temporary roles are often project-based or seasonal. The permanency of a data entry job depends on the company's staffing needs and the employment agreement.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Delaware? The most popular types of Data jobs in Delaware are:
What are popular job titles related to Data Associate jobs in Delaware? For Data Associate jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Data Associate jobs? Cities in Delaware with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Delaware as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $68,854 per year, or $33.1 per hour.
Data Science Senior Associate - Digiops Analytics

Data Science Senior Associate - Digiops Analytics

JP Morgan Chase

Wilmington, DE

Full-time

Medical, Retirement

Posted 2 hours ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Come join a team that improves Chase's self-service experiences for millions of customers.

As a Data Science Senior Associate at JPMorganChase on the DigiOps Analytics team, you will support an extensive portfolio by using behavioral and customer journey data to provide recommendations that enhance the customer experience and build long-term, profitable customer relationships. You will help define objectives and key results, develop and measure A/B tests, answer strategic analytical questions, and create analytical plans to drive outcomes. You will deliver clear, actionable insights while partnering closely with Product, Technology, Design, and Analytics teams, and you will share learnings broadly across stakeholders.

Job responsibilities

  • Analyze, visualize, and tell compelling stories through data about customer behaviors and digital journeys
  • Increase data-informed decisions through establishing partnerships, best practices, and clear communications
  • Create experiment and analytical plans to measure the customer impact of new strategies and operational improvements
  • Identify opportunities to drive business outcomes through insights, objectives and key results development, and deep-dive analysis
  • Collaborate with cross-functional teams to identify and prioritize initiatives that drive operational efficiencies and improve customer experience
  • Promote and share successes and learnings across key stakeholders and partner teams to drive increased awareness and adoption of a journey-led approach to innovation
  • Partner with the Modeling Center of Excellence and other analytics teams to support predictive modeling, machine learning, and advanced analytics projects
  • Ensure data is highly governed and controlled, coordinating with Data Owner Leads as needed
  • Provide consultation for the broader Data & Analytics organization as an expert in behavioral and customer journey data

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 3+ years applied experience
  • 3+ years of experience analyzing customer experiences, digital products/usage, or in digital operations, strategy, or a related field
  • Detail-oriented and structured thinker with a passion for analyzing data and providing clear actionable insights
  • Ability to organize complex business problems and translate them into analytical plans, and execute with high quality
  • Strong communication and presentation skills to deliver insights to executives and partner with other teams
  • Proficiency with SQL
  • Experience with web analytics
  • Bachelor's degree required

Preferred qualifications, capabilities and skills

  • Experience with analytical tools such as Copilot, Python, R, Alteryx, Tableau, and Adobe Analytics
  • Experience working with big data environments (for example, Hadoop, Teradata, Snowflake)
  • Experience with A/B testing
  • Experience in financial services or a similar industry
  • Strong slide-writing and presentation skills to deliver analytical insights

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.

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