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Analytics Associate Jobs in Delaware (NOW HIRING)

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Analytics Associate information

See Delaware salary details

$3.3K

$6.3K

$9K

How much do analytics associate jobs pay per month?

As of Sep 6, 2026, the average monthly pay for analytics associate 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.

How does an analytics associate typically collaborate with other departments within an organization?

Analytics Associates often work closely with teams such as marketing, finance, operations, and product management to understand their data needs and provide actionable insights. This collaboration involves regular meetings to discuss business goals, sharing analytical findings, and tailoring reports or dashboards to specific departmental objectives. Strong communication skills are key, as the role requires translating complex data analyses into clear recommendations for non-technical stakeholders. Building these cross-functional relationships not only enhances project outcomes but also provides valuable exposure to different areas of the business, supporting long-term career growth.

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

To thrive as an Analytics Associate, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree in fields such as mathematics, economics, or data science. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights. These skills enable Analytics Associates to transform complex data into actionable business recommendations, driving informed decision-making.

What is the difference between Analytics Associate vs Data Analyst?

AspectAnalytics AssociateData Analyst
Required CredentialsBachelor's degree in Business, Economics, or related field; often some certification in analytics toolsBachelor's degree in Statistics, Mathematics, or related; often similar certifications in data tools
Work EnvironmentCorporate settings, finance, marketing, or consulting firmsVarious industries including healthcare, finance, tech, and retail
Employer & Industry UsageCommon in finance, consulting, and corporate analytics teamsWidely used across industries for data-driven decision making

Analytics Associates and Data Analysts share similar educational backgrounds and work environments, often performing data collection, analysis, and reporting. The main difference lies in scope: Analytics Associates typically focus on supporting senior analysts and managers with specific projects, while Data Analysts may handle broader data interpretation and visualization tasks. Both roles are essential for organizations aiming to leverage data for strategic decisions.

What does an analytics associate do?

An analytics associate collects, analyzes, and interprets data to help organizations make informed business decisions. They often use tools like Excel, SQL, or data visualization software and may prepare reports or dashboards to communicate insights to stakeholders.

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

The most popular types of Analytics jobs in Delaware are:

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

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

What cities in Delaware are hiring for Analytics Associate jobs?

Cities in Delaware with the most Analytics Associate job openings:

What are popular job titles related to Analytics Associate jobs in DE?

For Analytics Associate jobs in DE, the most frequently searched job titles are:

Infographic showing various Analytics Associate job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $75,552 per year, or $36.3 per hour.

Quant Analytics Associate I - Fraud Strategy

JPMorgan Chase & Co.

Wilmington, DE • On-site

$80 - $100/hr

Other

Re-posted 5 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

Drive impactful fraud prevention as a Quantitative Analytics Associate on our Point of Sale Fraud team—where your advanced risk analyses and strategic insights help reduce fraud losses, protect customers, and influence key decisions across the organization.

As a Quantitative Analytics Associate in the Point of Sale Fraud team, you will manage fraud risk strategies in the Fraud Policy area and perform complex risk analyses with the objective of reducing fraud related losses while balancing customer impact. You will frequently interact and communicate with cross-functional partners and communicate and present presentations to managers and executives.

Job Responsibilities
  • Interpret large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities
  • Manage, develop, communicate, and implement optimal fraud strategies (including rules, cutoffs, policies, operational flows, etc.) to protect the bank from fraud related losses and improve customer experience at Point of Sale
  • Identify key risk indicators and metrics, develop key metrics, enhance reporting, and identify new areas of analytic focus to better capture fraud.
  • Provide subject matter expertise on strategy implementation/testing and initiatives related to the improvement of risk mitigation processes and infrastructure
  • Collaborate with cross-functional partners to understand and address key business challenges
  • Identify business opportunity by performing well thought analysis – Data mining, ensuring data integrity, synthesizing and communicating findings to senior management
  • Assist team efforts in the critical development of new fraud pattern or spending pattern detection tools while providing clear/concise oral and written communication across various functions and levels, inclusive of Operations, IT, and Risk Management
Required Qualifications, Capabilities, and Skills
  • Bachelor's degree (or related work experience) in a quantitative discipline in a financial services organization and 2 or more years’ experience in fraud/risk/payments or related field.
  • Advanced understanding of Python, SAS, and SQL.
  • Ability to query large amounts of data and transform raw data into actionable management information.
  • Strong analytical and problem-solving abilities.
  • Experience delivering recommendations to management.
  • Self-starter with the ability to drive for resolution.
  • Strong communication and interpersonal skills with the ability to interact with individuals across departments/functions and with senior-level executives.
Preferred Qualifications, Capabilities, and Skills
  • Master's degree (or related work experience) in a quantitative discipline, preferably in a financial services organization, plus 2 or more years’ experience in fraud/risk/payments or related field.
  • Experience with Machine Learning technologies and knowledge of LLMs.
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