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Data Analyst Jobs in Delaware (NOW HIRING)

Raasinfotek

Business Analyst

Newark, DE · On-site

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 ...

Continental Finance

Credit Risk Analyst

Wilmington, DE · Hybrid

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 ...

Raasinfotek

Business Analyst

Newark, DE · On-site

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 ...

AllSTEM Connections

SHE Specialist

Wilmington, DE · On-site

$40K - $52K/yr

Senior Regulatory Compliance & Chemical Data Analyst Role Overview We are seeking a Senior Regulatory Compliance & Chemical Data Analyst to lead the technical management of our global product ...

Delan Associates, Inc

RTSS Infrastructure

Newark, DE · On-site

Effective Communicator Information Technology Expertise Well Rounded Self Manager Team Oriented Data Analyst Expertise Virtualization Technical Analysis Technical Support Certifications that align:

Delan Associates, Inc

RTSS Infrastructure

Newark, DE · On-site

Effective Communicator Information Technology Expertise Well Rounded Self Manager Team Oriented Data Analyst Expertise Virtualization Technical Analysis Technical Support Certifications that align:

Delan Associates, Inc.

RTSS Infrastructure

Newark, DE · On-site

Skills preferred: • Effective Communicator • Information Technology Expertise • Well Rounded Self Manager • Team Oriented • Data Analyst Expertise • Virtualization • Technical Analysis ...

Citigroup, Inc.

Credit Portfolio Officer

Wilmington, DE · On-site

$151K - $175K/yr

Utilize Statistical Analysis System (SAS) in a UNIX environment to perform risk, financial and data analyses, including profiling, sampling, forecasting, and new program due diligence. A ...

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All JobsData Analyst JobsData Analyst Jobs in Delaware

Data Analyst information

See Delaware salary details

$34K

$82.7K

$136.1K

How much do data analyst jobs pay per year?

As of Sep 6, 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 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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

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.

What work 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.
More about Data Analyst jobs

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

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

What cities in Delaware are hiring for Data Analyst jobs?

Cities in Delaware with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,711 per year, or $39.8 per hour.

Lead Business Systems Analyst - Marketing Data and Analytics - Sr. Associate

JPMorgan Chase & Co.

Wilmington, DE • On-site

$110 - $160/hr

Other

Posted 8 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

Join a team that uses data and analytics to power digital marketing at scale and improve how we connect with customers. You'll help shape targeting strategies and measurement that drive acquisition, engagement, and growth across consumer banking products. We'll rely on your partnership with Marketing, Product, and Technology to turn ideas into measurable outcomes. If you enjoy solving complex problems, improving how teams work, and raising the bar on quality, this role is built for you.

Job summary

As a Lead Business Systems Analyst in Marketing Data and Analytics, you will help design and deliver data-driven audience and targeting solutions that improve campaign execution across digital channels. You'll translate business goals into clear requirements, define data and process standards, and partner with teams to implement changes that are measurable and repeatable. You'll help us strengthen how we manage audiences and data so we can move faster, reduce rework, and improve performance. You'll also identify responsible uses of artificial intelligence to improve speed, quality, and control in marketing execution.

Job responsibilities
  • Design data and audience management approaches that enable consistent, reusable targeting and measurement across campaigns.
  • Develop data quality monitoring and automated operational reporting to reduce manual work and improve reliability.
  • Analyze performance and targeting inputs from systems of record and approved analytical signals to improve relevance and efficiency.
  • Standardize audience outputs and documentation (requirements, definitions, and testing checklists) to accelerate delivery and reduce defects.
  • Manage end-to-end execution for data initiatives, including monitoring, issue triage, and proactive alerting to protect delivery and results.
  • Partner with Product and Technology to define functional designs and delivery plans for platform enhancements and cross-channel initiatives.
  • Identify responsible artificial intelligence opportunities and support "human-in-the-loop" operating models with clear controls, explainability expectations, and measurable outcomes.
Required qualifications, capabilities, and skills
  • Bachelor's degree in Data Science, Statistics, Information Systems, or a related field.
  • Experience in data analytics and/or customer segmentation, with the ability to connect analytical outputs to campaign execution outcomes.
  • Proficiency with SQL and common analytics and reporting tools (for example: Python, Excel, Tableau, Adobe).
  • Ability to translate business requirements into technical specifications and communicate complex topics to non-technical partners.
  • Strong understanding of digital marketing fundamentals, measurement, and test-and-learn optimization.
  • Strong project execution skills, including planning, dependencies, and risk/issue management across stakeholders.
  • Strong written and verbal communication skills, with the ability to influence partners and explain artificial intelligence-supported decisions and controls clearly.
Preferred qualifications, capabilities, and skills
  • Experience in marketing operations and/or marketing technology, including exposure to artificial intelligence-enabled targeting or decisioning.
  • Experience with agile delivery and project management tools (for example: Jira, Confluence, Microsoft Project, PowerPoint).
  • Experience with customer data platforms and marketing automation tools (for example: Salesforce, Segment, SAS, Adobe, Microsoft).
  • Experience working with agencies and/or consultancies, including translating vendor capabilities into governed requirements.
  • Ability to manage multiple initiatives under tight timelines while maintaining quality and consistency.
  • Strong relationship-building and negotiation skills, including alignment on responsible artificial intelligence use, governance needs, and success measures.
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