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Data Analyst Jobs in Delaware (NOW HIRING)

Data Analyst

Lewes, DE · On-site +1

As a Data Analyst at Winaxis LLC, you will be responsible for extracting, transforming, and presenting data in a meaningful way to support various projects and initiatives. This role is essential in ...

Citizen Job Summary Analyzes data by combining multiple data sources and researching various system and healthcare issues in order to perform on-time research and analysis to formulate solutions for ...

Provide guidance to Data Stewards and Data Analysts to utilize Data Quality tools in in the adoption of data quality standards, policies and procedures * Work with DQ Issues groups and LOB ...

• Job Profile Data Quality Lead Analyst - C13 • The Information Services Group (ISG) within Client's Institutional Clients Group O&T (ICG O&T) organization is looking for a resource to join its ...

Data Architect

Wilmington, DE · On-site

$61.75 - $79.50/hr

Wilmington, DE Length: 2 years F2F REQUIRED - 5-7 years prior data analyst experience required - 5+ years experience with Financial Services clients, coordinating others work while involved with ...

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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.

Data Analyst

Winaxis LLC

Lewes, DE • On-site, Remote

Full-time

Posted yesterday


Job description

Description

Join Winaxis LLC as a Data Analyst and play a crucial role in analyzing and interpreting complex data sets to drive key business decisions. As a Data Analyst at Winaxis LLC, you will be responsible for extracting, transforming, and presenting data in a meaningful way to support various projects and initiatives. This role is essential in providing valuable insights that will directly impact the company's strategic direction and growth.

As a Data Analyst at Winaxis LLC, you will work on a variety of projects ranging from market research and trend analysis to performance tracking and forecasting. Your analytical skills will be put to the test as you uncover patterns, trends, and correlations within the data to help optimize processes and improve overall business performance. This position offers a great opportunity to work remotely and collaborate with cross-functional teams to drive data-informed decisions.

Responsibilities:
  • Collect, clean, and validate data to ensure accuracy and reliability.
  • Analyze large datasets using statistical methods and data visualization techniques.
  • Interpret data and present findings to key stakeholders in a clear and concise manner.
  • Develop and maintain reports, dashboards, and data visualizations to track KPIs.
  • Identify trends, patterns, and insights to support business objectives.
  • Collaborate with teams to define data requirements for various projects.
  • Conduct ad-hoc analysis to address specific business questions and challenges.
  • Stay updated on industry trends and best practices in data analysis.
Requirements:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.
  • Proficiency in data analysis tools such as SQL, Excel, Python, or R.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work independently and collaborate effectively in a team environment.
  • Excellent communication skills to convey complex findings to non-technical stakeholders.
  • Knowledge of statistical methods and techniques for data analysis.
  • Experience in interpreting and analyzing large datasets to extract insights.