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Statistical Analyst Jobs in Delaware (NOW HIRING)

Troutman Pepper

Senior Pricing Analyst

Wilmington, DE · Hybrid

The Senior Pricing Analyst is responsible for conducting complex data analyses and developing ... Apply statistical modeling methods to determine the potential impact of pricing strategies on ...

Implify Inc

Data Scientist PCON & Architect

Newark, DE · On-site

... statistical modeling, Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Position: 2 Job Title:

Ra

Marketing Analytics Senior Manager

Wilmington, DE

Marketing Analytics Senior Manager Job Level: 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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All JobsStatistical Analyst JobsStatistical Analyst Jobs in Delaware

Statistical Analyst information

See Delaware salary details

$30K

$70.5K

$117.6K

How much do statistical analyst jobs pay per year?

As of Jul 16, 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.
Senior Data Analyst - Digital (Customer Insights & Analytics)

Senior Data Analyst - Digital (Customer Insights & Analytics)

M&T Bank

Wilmington, DE

$113K - $188K/yr

Full-time

Posted 5 days ago

New

M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 184 frontline employees who took The Breakroom Quiz

76th of 149 rated banks

Job description

OVERVIEW:

Senior Data Analyst on theDomain Analytics Team, part ofM&T'sCustomerInsights & Analytics Organization.

Weprovideanalytical insights that empower Marketing and Digital Product organizations to drive business growth, strengthen customer relationships, and accelerate digital adoption.

Our work spans:

  • Experimentation & Measurement - Designing and analyzing tests tooptimizecustomer acquisition for Retail and Business Banking segments.

  • Cross-Channel Analytics & Attribution - Understanding how customers interact across channels andidentifyingwhat drives engagement.

  • Digital Journey Analytics - Uncovering insights from web and app behaviors to improve customer experiences.

  • Digital Product Enablement - Partnering with product teams across the development lifecycle to support new feature launches withdata andperformance measurement.

  • Data Products & Ad-Hoc Analysis - Building dashboards and self-servicetools,anddelivering quick-turn insights to answer business questions.

LOCATION:

This role follows a hybrid work model, requiring onsite presence four days per week at one of M&T Bank's regional offices. Candidates must reside within a reasonable commuting distance to one of the following locations:

  • 345 Main Street, Buffalo, NY

  • 115 Federal Street, Boston, MA

  • 1 Light Street, Baltimore, MD

  • 1350 I Street NW, Washington, DC

  • 1100 North Market Street, Wilmington, DE

  • 277 Park Avenue, New York, NY

  • 850 Main Street, Bridgeport, CT

  • 77 Pine Street, Burlington, VT

POSITION RESPONSIBILITIES:

  • Explore, mine, and profile data across multiple large complex datasets to gain and interpret insights for use in statistical and quantitative analytics.

  • Collaboratewith both technical andnontechnicalstakeholders to translate business questions into analytical solutions.

  • Support highquality analytics delivery by conducting data quality checks, collaborating on data model design, and applying best practices for code documentation and storage.

  • Conduct complex data manipulation and analysis with common programming languages.

  • Track and report performance of multiplecampaigns.Identifydeviationsandexplain variances.Consolidatefindings for business consumption.

  • Developbusiness intelligence solutionsdesigned to meet business needs.

  • Mentorjuniorteam members and engage with peer teams.

  • Understand and adhere to the Company's risk and regulatory standards,policiesand controlsin accordance withthe Company's Risk Appetite.Identifyrisk-related issues needing escalation to management.

  • Design, implement,maintain,and enhance internal controls to mitigate risk on an ongoing basis.Identifyrisk-related issues needing escalation to management.

  • Promote an environment that supports belonging and reflects the M&T Bank brand.

  • Maintain M&T internal control standards, includingtimelyimplementation of internal and external audit points together with any issues raised by external regulators as applicable.

MANAGERIAL/SUPERVISORY RESPONSIBILITY:

No supervisory responsibility.

MINIMUM QUALIFICATIONS REQUIRED:

Bachelor's degree and a minimum of 5 years of related experience.

Experience with data analysis and statistical tools

Experience working in large databases

Experience in SQL and familiarity with common program languages for data analysis (SAS, Python, R).

Experience analyzing large data sets and explaining results of analysis through concise written and verbal communication.

IDEAL QUALIFICATIONS PREFERRED:

6 or more years related work experience in data analysis

Expert skills inSQL and working with relational databases.

Experiencein programming languages such asSAS, Python,R.

Experience with datavisualizationtool (PowerBI, Tableau)

Experience with one or more cloud databases.

Experience working within an agile environment.

Experience analyzing web and digital product data, such as website traffic, user behavior, and events generated by web applications.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $113,300.00 - $188,800.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBaltimore, Maryland, United States of America

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