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Data Analyst Data Science Jobs in Delaware (NOW HIRING)

Data Analyst

Lewes, DE · On-site +1

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 ...

Bachelor''s degree in Computer Science, Information Systems, Statistics, Finance, Mathematics, or related field. * 4+ years of experience as a Data Analyst, Business Data Analyst, or Data Management ...

Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations. * Collaborate closely with data science, product, and ...

Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations. * Collaborate closely with data science, product, and ...

Bachelor's degree in health informatics, Data Science, Statistics, Public Health or a related field. * Minimum of 2-3 of Data Analysis experience in a healthcare environment Language Skills:

New

Sr Data Analyst

Wilmington, DE · Hybrid

$83K - $105K/yr

Bachelor's degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field. Minimum Years of Experience * 4 years' experience in a experience as a Data Analyst or ...

At least five years of experience in data science, analytics, data engineering or digital transformation roles. * Strong expertise in data architecture, data modeling and modern data science ...

Data Analyst Healthcare (1 2 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare to support healthcare reporting, analytics, and ...

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Data Analyst Data Science information

See Delaware salary details

$13

$36

$63

How much do data analyst data science jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analyst data science in Delaware is $36.98, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $44.81 per hour, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Delaware? For Data Analyst Data Science jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Delaware look for? The top searched job categories for Data Analyst Data Science jobs in Delaware are:
What cities in Delaware are hiring for Data Analyst Data Science jobs? Cities in Delaware with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $76,921 per year, or $37 per hour.

Data Analyst

Winaxis LLC

Lewes, DE • On-site, Remote

Full-time

Re-posted 27 days ago


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.