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Statistical Analyst Jobs in Delaware (NOW HIRING)

Winaxis LLC

Data Analyst

Lewes, DE · On-site +1

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 ...

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Marketing Analytics Manager

Wilmington, DE

Marketing Analytics Manager Job Level: Mid - Senior Level This is what you will do.. You will be ... Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this ...

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Statistical Analyst information

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How much do statistical analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for statistical analyst in Delaware is $70,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $81,100.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but statistical analysts play a crucial role in interpreting complex data, developing models, and making strategic decisions. The role of a statistical analyst involves skills in statistical methods, programming, and critical thinking that are not easily replaced by AI alone.

What does a Statistical Analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

Can I be a data analyst with no experience?

Statistical Analysts often require some background in statistics, data analysis, or related fields, but entry-level positions may be available for those with strong analytical skills and proficiency in tools like Excel or SQL. Gaining relevant certifications or completing online courses can improve chances of starting a career without prior experience.

Is 40 too late for data science?

A statistical analyst or data scientist can start a career at age 40, as many professionals transition into data roles later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with experience and continuous learning.

What are some common challenges Statistical Analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

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

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What Is a Statistical Analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

What do statistical analysts do?

Statistical analysts collect, analyze, and interpret data to help organizations make informed decisions. They use statistical software and techniques to identify trends, create reports, and support strategic planning. Strong analytical skills and knowledge of tools like Excel, R, or SAS are essential for this role.
More about Statistical Analyst jobs
What are popular job titles related to Statistical Analyst jobs in Delaware? For Statistical Analyst jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Statistical Analyst jobs in Delaware look for? The top searched job categories for Statistical Analyst jobs in Delaware are:
What are popular job titles related to Statistical Analyst jobs in DE? For Statistical Analyst jobs in DE, the most frequently searched job titles are:
Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in Delaware as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 85% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $70,511 per year, or $33.9 per hour.
Data Analyst

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.