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Data Analyst Jobs in Delaware (NOW HIRING)

Data warehousing and distributed platforms for large-scale processing * Replication and high availability solutions ensuring resiliency and business continuity Role & Strategic Impact As an Analyst ...

Data warehousing and distributed platforms for large-scale processing * Replication and high availability solutions ensuring resiliency and business continuity Role & Strategic Impact As an Analyst ...

AML Business Data Manager

Wilmington, DE · On-site

$96K - $155K/yr

Analytics, Insights, & Artificial Intelligence This role is not eligible for TD work visa support ... AML Business Data Manager will lead a team of business data analysts that is responsible for ...

We are working on the below-mentioned positions currently: (1)Business Data Analyst (2)Business Systems Analyst(Tech BA) (3)Scrum Master (4)Agile Coach (5)IT Project Manager We are looking for OPT ...

We are working on the below-mentioned positions currently: (1)Business Data Analyst (2)Business Systems Analyst(Tech BA) (3)Scrum Master (4)Agile Coach (5)IT Project Manager We are looking for OPT ...

Seeking a Data Analyst to support direct mail and Invitation-To-Apply (ITA) acquisition campaigns through targeting, list processing and execution, and credit risk performance analysis, helping drive ...

Identify data inconsistencies, gaps, and process breakdowns impacting sales reporting, pipeline ... Analyze sales process performance, including pipeline movement, conversion trends, and deal ...

Gather, analyze, and interpret sales, pipeline, and revenue data from multiple sources to support performance analysis and decision-making * Build andmaintainstandardized reports and dashboards in ...

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Showing results 1-20

Data Analyst information

See Delaware salary details

$34K

$82.7K

$136.1K

How much do data analyst jobs pay per year?

As of Jun 15, 2026, the average yearly pay for 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.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including at 40, as the field values skills like statistical analysis, programming, and data visualization. Many professionals transition into data science or analytics later in their careers by gaining relevant certifications and experience, making age less of a barrier than skill set and continuous learning.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and communicating insights. The role of a data analyst involves critical thinking, domain knowledge, and skills in tools like SQL and Excel, which are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace the role in the near future.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important in the job search process.

What job does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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 Data Analyst jobs in Delaware? For Data Analyst jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Data Analyst jobs? Cities in Delaware with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Delaware as of June 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 77% In-person, 9% Hybrid, and 14% Remote job distribution, with an average salary of $82,711 per year, or $39.8 per hour.
Business Analyst Vice President - Wholesale External Party Reference Data

Business Analyst Vice President - Wholesale External Party Reference Data

JPMorgan Chase & Co

Newark, DE

Full-time

Medical, Retirement

Posted 11 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 469 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Help shape the data products that power client intelligence, operational efficiency, and data-driven capabilities across JPMorganChase. You will join a team responsible for foundational party and client reference data used across onboarding, servicing, and downstream consumption. If you are energized by leading through influence, driving clarity in ambiguous spaces, and improving data quality at scale, this role offers meaningful impact and growth.

As a Business Analyst Vice President at JPMorganChase within the Core Data Organization in the Commercial & Investment Bank, you will lead end-to-end business analysis for enhancements to the Master Data Management platform supporting wholesale external party reference data. You will partner with senior business and operational stakeholders to uncover needs, define priorities, and translate complex requirements into deliverables that strengthen data quality, support regulatory compliance, and improve onboarding and downstream processes. You will collaborate closely with product owners and technology partners to shape solutions, drive readiness for delivery, and ensure changes achieve measurable outcomes.

Job responsibilities

  • Lead stakeholder discovery and decisioning sessions to elicit, document, and validate business requirements, driving alignment on priorities, scope, and trade-offs
  • Own the end-to-end requirements lifecycle, including functional and non-functional requirements captured in product requirement documents, process documentation, and user stories
  • Drive current-state and future-state process mapping, gap analysis, and solution recommendations across stakeholder groups
  • Serve as a senior liaison between business stakeholders, product owners, and technology partners, translating business needs into functional requirements and supporting solution design
  • Perform data analysis to validate assumptions, quantify impacts, and inform reference data use cases and solution recommendations
  • Lead impact assessments for changes, including downstream process and data implications across onboarding, servicing, and reporting stakeholders
  • Support data governance standards through contributions to data stewardship, data lineage documentation, and data quality rule definition and monitoring
  • Partner with product and delivery teams to ensure backlog readiness, including drafting and refining epics, user stories, acceptance criteria, and supporting documentation
  • Coordinate User Acceptance Testing, including test strategy input, scenario definition, defect triage, and outcome validation
  • Support change management efforts, including training materials, end-user process documentation, and adoption support activities

Required qualifications, capabilities and skills

  • 5+ years of experience in a business analyst or equivalent requirements-focused role
  • 3+ years of experience within a financial services organization
  • Experience with Master Data Management and reference data, including enterprise Master Data Management platforms
  • Demonstrated experience leading cross-functional stakeholder engagement and driving alignment on requirements and outcomes
  • Strong written and verbal communication skills, including the ability to influence and present effectively to varied audiences
  • Proven problem-solving and decision-making skills, including structuring ambiguous problems and driving to practical outcomes
  • Experience creating product requirement documents, user stories, acceptance criteria, and process documentation that enables effective delivery
  • Experience performing impact assessments for process and data changes with downstream dependencies
  • Demonstrated willingness to learn and actively leverage firmwide artificial intelligence tools to enhance productivity and improve ways of working

Preferred qualifications, capabilities and skills

  • Experience supporting product ownership activities, including backlog refinement, story writing, and outcome-driven prioritization in an Agile environment
  • Experience with business process modeling techniques and tools, such as Business Process Model and Notation and common process mapping platforms
  • Familiarity with data governance frameworks, including data stewardship models or enterprise data management programs
  • Certified Business Analysis Professional or Certification of Capability in Business Analysis certification
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

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