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Statistical Analyst Jobs in Delaware (NOW HIRING)

This individual is able to lead, perform and communicate results of more technical analyses, and ... The Director, Statistics may lead, manage, and develop a group of statisticians as well as provide ...

This individual is able to lead, perform and communicate results of more technical analyses, and ... The Director, Statistics may lead, manage, and develop a group of statisticians as well as provide ...

Excellent analytical and problem-solving abilities, with keen attention to detail. * Effective ... Doctorate's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or ...

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Excellent analytical and problem-solving abilities, with keen attention to detail. * Effective ... Doctorate's degree in Statistics, Mathematics, Data Science, Computer Science, Machine Learning, or ...

Management Analyst III

New Castle, DE · On-site

$56K - $84K/yr

Reviews, performs statistical analysis and interpretation of collected data relating to policies, procedures, organization, managerial and operational practices; Defines and may make recommendations ...

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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Statistical Analyst information

See Delaware salary details

$30K

$70.5K

$117.6K

How much do statistical analyst jobs pay per year?

As of Jun 22, 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.

What does a statistical analyst do?

A statistical analyst collects, analyzes, and interprets data to help organizations make informed decisions. They use statistical software and techniques to identify trends, create reports, and support business strategies, often working with large datasets and requiring strong analytical skills.

Is 40 too late for data science?

A career as a statistical analyst or data scientist can be pursued at any age, including 40. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Age is less a barrier than having the necessary technical knowledge and experience in data analysis tools like Python, R, or SQL.

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.

Is AI replacing data analysts?

AI is automating certain tasks within the role of a statistical analyst, such as data processing and basic analysis, but it does not fully replace the need for human expertise in interpreting complex data, making strategic decisions, and understanding context. Data analysts who develop skills in machine learning tools and programming languages like Python or R remain valuable in leveraging AI effectively. The role continues to evolve alongside technological advancements, emphasizing the importance of analytical thinking and domain knowledge.

What jobs in the US pay 300,000 a year?

For a Statistical Analyst, earning $300,000 annually typically requires senior-level experience, advanced skills in data modeling and programming, and often a role in finance, consulting, or technology sectors. Such compensation may include bonuses, stock options, or other incentives, and usually involves leadership responsibilities or specialized expertise. High-paying roles are often found in large organizations or firms with complex data needs.

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 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:
Infographic showing various Statistical Analyst job openings in Delaware as of June 2026, with employment types broken down into 2% Locum Tenens, 82% Full Time, 15% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $70,511 per year, or $33.9 per hour.
Statistical Science Director

Statistical Science Director

AstraZeneca

Wilmington, DE

Full-time

Posted 4 hours ago


AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 71 rated pharmaceutical


Job description

The Director, Statistics has sufficient experience in the pharmaceutical industry to independently lead a biometrics team to deliver project and/or technical level activities related to design, delivery and interpretation, high level internal governance committees and/or regulatory submissions. This individual is able to lead, perform and communicate results of more technical analyses, and able to guide and lead less experienced staff. Competent individual contributor with excellent cross-functional collaboration.

Accountabilities:

The Director, Statistics may lead, manage, and develop a group of statisticians as well as provide project support and/or advance statistical methodology.

The accountabilities for supporting projects directly include:

To lead, manage and develop a group of statisticians

Work according to agreed functional and regional SHE strategy by ensuring proper management of SHE risks, incidents, reporting, follow-up and improvements

Lead the statistical design and strategy to product development plans, preclinical studies, regulatory strategy, health technology assessment and/or commercial activities as appropriate for the stage of the product.

Lead the statistical content and ensure quality for study designs, documents, delivery and interpretation and submission

Quantify the benefit, risk, value and uncertainty of the emerging product profile and can communicate these effectively within the team

Provide global leadership to others and direct project work delivered by internal and external staff

Partner with CROs to ensure delivery to quality and time Represent AZ externally which may include health authorities, advisory boards, conferences, workshops and/or payer interactions

Maintain knowledge of statistical methodology in relevant areas and promote, investigate and implement novel statistical approaches

Represent statistical strategy and decision making at internal decision-making governance including review boards, therapy area leadership teams and ESPC/LSPC

Mentor/coach and support the technical education and training of Statistics staff

Essential Requirements:

  • MSc in Statistics, Mathematics (containing a substantial statistical component), or recognised equivalent to stats MSc
  • Track record of background in leading independently
  • Exemplary technical skills

Desired Requirements:

  • PhD in Statistics

Join the team unlocking the power of what science can do. We are working towards treating, preventing, modifying and even curing some of the world's most complex diseases. Here we have the potential to grow our pipeline and positively impact the lives of billions of patients around the world. We are committed to making a difference by fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs. Our combination of curiosity and courage drives us to explore new possibilities without fear of failure. We celebrate our successes and learn from our failures along the way. Our inclusive environment allows us to work seamlessly as one team, using diverse global knowledge to create the greatest impact on disease.

If your passion is science and you want to be part of a team that makes a bigger impact on patients' lives, then there's no better place to be. Apply now!

Date Posted

22-May-2026

Closing Date

26-Jun-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.


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