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Statistical Data Analysis Jobs (NOW HIRING)

AHU Technologies, Inc.

Data Analyst

Washington, DC · On-site

$61 - $68/hr

Duties: • Analyzes information and statistical data to prepare reports and studies for use by professionals. • Creates charts and graphics to present statistical analysis in an easily digestible ...

Merican

Data Analysis Lead

Morristown, NJ · On-site

Bachelor degree in statistics, data analytics, MBA, Masters in Statistics, Masters in Data Science or equivalent TekWissen ® Group is an equal opportunity employer supporting workforce diversity.

Washington University of St. Louis

$65K - $112K/yr

Performs data analysis and/or data management using the latest and best methodologies as implemented in statistical packages (SAS) including generation of tables and graphs. * Advises and assists ...

Collabera

Data Analysis

Eagan, MN

Experiencein a Business Analyst or related role involving data analysis StrongExcel skills including charting, Pivot tables, statistical and data cleanupfunctions BasicPowerPoint, Word, Outlook ...

AHU Technologies, Inc.

Data Analyst

Washington, DC · On-site

$71 - $79/hr

Duties: • Analyzes information and statistical data to prepare reports and studies for use by professionals. • Creates charts and graphics to present statistical analysis in an easily digestible ...

Collabera

Data Analyst

Eagan, MN

Fundamental statistical, data analysis and visualization skills Strong communication skills Desirable Skills and Experience: * Ability to create SQL or MS Access queries and reports. * Experience ...

Elevait Solutions

Data Analyst 1

Fort Worth, TX · On-site

Top 3 Keywords: 1- Process Capability Analysis & Statistical Data Tracking 2- Deviation Management (Root Cause & Corrective Actions) 3- Microsoft Office (Advanced Excel) Top Required Skills:

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Statistical Data Analysis information

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How much do statistical data analysis jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for statistical data analysis in the United States is $38.47, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $50.24 per hour, depending on experience, location, and employer.

What is statistical data analysis?

Statistical data analysis is the process of collecting, organizing, interpreting, and presenting numerical data using statistical methods. It helps researchers and professionals identify patterns, trends, and relationships within data sets, enabling informed decision-making. Common techniques include descriptive statistics, hypothesis testing, regression analysis, and data visualization. Statistical data analysis is widely used in fields such as business, healthcare, social sciences, and engineering to draw meaningful conclusions from data.

What is the difference between Statistical Data Analysis vs Data Scientist?

AspectStatistical Data AnalysisData Scientist
Required CredentialsDegree in Statistics, Mathematics, or related fieldDegree in Computer Science, Statistics, or related field
Work EnvironmentResearch labs, finance, healthcare, academiaTech companies, finance, e-commerce, startups
Employer & Industry UsageUsed across industries for analyzing data setsUsed for building predictive models and data-driven products

Statistical Data Analysis focuses on interpreting data using statistical methods, often emphasizing hypothesis testing and descriptive statistics. Data Scientists combine statistical analysis with programming and machine learning skills to create predictive models and extract insights from large, complex data sets. While both roles analyze data, Data Scientists typically have broader technical skills and work on developing algorithms, whereas Statistical Data Analysts concentrate on statistical techniques and reporting.

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

To thrive as a Statistical Data Analyst, a solid background in statistics, mathematics, and data interpretation is required, often supported by a degree in statistics, mathematics, or a related field. Expertise in statistical software such as R, Python, SAS, or SPSS, along with experience in data visualization tools, is typically essential. Strong analytical thinking, attention to detail, and effective communication skills help analysts present complex findings clearly to stakeholders. These competencies are crucial for extracting actionable insights from data and supporting informed, data-driven business decisions.

Do statistical data analysts make a lot of money?

Statistical data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions often start around the national average, while experienced analysts with advanced skills in programming and data visualization can earn significantly higher wages, especially in high-demand sectors.

What is a statistical data analyst?

A statistical data analyst is a professional who collects, processes, and interprets large datasets to help organizations make informed decisions. They use statistical tools and software such as R, SAS, or Python, and often require strong analytical skills and knowledge of statistical methods. The role typically involves data visualization, reporting, and ensuring data accuracy.

What are some common challenges faced by professionals in statistical data analysis roles, and how can they be addressed?

Professionals in statistical data analysis often encounter challenges such as dealing with incomplete or messy datasets, selecting appropriate statistical methods, and ensuring the reproducibility of their analyses. Overcoming these obstacles typically involves rigorous data cleaning, continuous learning about statistical techniques, and using version control systems for code and data. Collaboration with subject matter experts and maintaining clear documentation are also essential for ensuring that findings are accurate and actionable.
More about Statistical Data Analysis jobs
What are the most commonly searched types of Statistical Data Analysis jobs? The most popular types of Statistical Data Analysis jobs are:
What states have the most Statistical Data Analysis jobs? States with the most job openings for Statistical Data Analysis jobs include:
What job categories do people searching Statistical Data Analysis jobs look for? The top searched job categories for Statistical Data Analysis jobs are:
Statistical Data Analysis jobs near you
Infographic showing various Statistical Data Analysis job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $80,017 per year, or $38.5 per hour.

Actuarial & Statistical Data Analysts

MSIG Holdings USA, Inc.

Warren, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

MSIG USA continues to grow!
Company Overview:
MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks.
Position Summary
MSIG USA is a fast-growing specialty insurer focused on serving large, complex commercial clients with customized underwriting, claims, and risk management solutions.
The Senior Analyst, Statistical Reporting & Insurance Analytics is responsible for executing data, reporting, and analytical activities that support actuarial reserving, pricing, insurance analytics, regulatory compliance, and strategic business decision-making. This role develops and delivers statistical reporting submissions required by state regulatory agencies, rating bureaus, and industry organizations while also supporting actuarial and business operations through data analysis, reporting, automation, and quality assurance initiatives.
As a member of the Actuarial team, which includes Pricing, Reserving, Insurance Analytics, Catastrophe Modeling, and Statistical Reporting, this position works closely with actuarial, operations, technology, data management, and external vendor partners to ensure accurate and timely reporting, data integrity, and continuous process improvement. The role also contributes to MSIG USA's ongoing analytical transformation through automation and system enhancement initiatives.
Key Responsibilities
Statistical Reporting and Regulatory Compliance (40%)
  • Develop, validate, and deliver components of MSIG USA's approximately 250 recurring statistical reports submitted to state regulatory agencies, rating bureaus, and industry organizations.
  • Coordinate reporting activities between internal stakeholders and external compliance reporting vendors, including Perr & Knight.
  • Support both ongoing business-as-usual reporting requirements and the migration of statistical reporting processes to new policy and claims administration systems.
  • Serve as a liaison between regulatory reporting vendors and technology teams to ensure accurate maintenance of state taxes, licenses, fees, and reporting requirements within policy administration systems.
  • Review statistical reporting output for accuracy and completeness prior to submission.
  • Submit data to appropriate regulatory agencies and bureaus, investigate reporting exceptions, and resolve data validation errors.
  • Maintain reporting control logs and documentation to ensure compliance with reporting deadlines and regulatory requirements.
  • Perform resubmissions as necessary until reports are accepted by external reporting entities.
  • Support reporting requirements including:
    • ISO Verisk Commercial Lines Reporting (CSP, SCP+, Financial Calls)
    • Statistical Agent Association (SAA) Reporting
    • National Council on Compensation Insurance (NCCI) Reporting
    • Independent Bureau Reporting
    • Excess & Surplus (E&S) Lines Reporting
Business Analytics and Reporting Development (20%)
  • Develop new reports, analytical models, and data queries utilizing internal and external data sources.
  • Support actuarial, underwriting, claims, finance, and management teams with data-driven insights that contribute to profitability, growth, and operational effectiveness.
  • Assist in pricing, reserving, underwriting, claims, credit, and financial analysis initiatives.
  • Identify opportunities to improve reporting efficiency and data accessibility.
  • Collaborate with Data Management, Data Operations, and Technology teams to automate manual reporting processes and enhance reporting capabilities where business value and return on investment are demonstrated.
Systems Development, Data Requirements and UAT Leadership (20%)
  • Serve as a subject matter expert for statistical reporting requirements related to policy and claims administration systems.
  • Support the development and documentation of business requirements for system enhancements, regulatory reporting needs, and break-fix initiatives.
  • Participate in cross-functional projects involving Guidewire, Solartis, and internally developed policy and claims administration systems.
  • Lead or support User Acceptance Testing (UAT) activities for statistical reporting functionality within system implementations and enhancements.
  • Validate system changes and reporting outputs to ensure compliance, accuracy, and alignment with business requirements.
  • Collaborate with Technology, Operations, and Actuarial stakeholders to identify and resolve reporting issues.
Data Quality, Process Improvement and Operational Support (20%)
  • Perform data validation, reconciliation, and quality assurance reviews across multiple reporting processes.
  • Maintain reporting documentation, procedures, and workflows.
  • Support continuous improvement initiatives that enhance reporting accuracy, operational efficiency, and data governance.
  • Assist with ad hoc reporting and analytical requests from business stakeholders.
  • Monitor reporting trends, identify anomalies, and recommend corrective actions when appropriate.
Qualifications
Education
  • Bachelor's degree in Actuarial Science, Statistics, Mathematics, Economics, Data Analytics, Computer Science, Finance, or a related quantitative field required.
  • Progress toward professional actuarial designation is a plus.
Experience
  • 3-7 years of experience in Property & Casualty insurance, actuarial support, statistical reporting, regulatory reporting, insurance analytics, or a related analytical discipline.
  • Experience working with insurance data, reporting systems, and regulatory reporting requirements.
  • Experience supporting system implementations, data projects, or reporting automation initiatives preferred.
Technical Skills
  • Experience querying and analyzing large datasets using SQL or similar tools.
  • Strong Microsoft Excel skills, including advanced functions and data analysis capabilities.
  • Knowledge of Property & Casualty insurance operations, policy administration systems, and claims systems.
  • Familiarity with statistical reporting requirements, regulatory reporting processes, and insurance bureau submissions.
  • Experience with reporting, business intelligence, or data visualization tools preferred.
  • Exposure to Guidewire, Solartis, or similar policy administration systems preferred.

SALARY: The estimated salary range for this position is $70,000.00-90,000.00 per year. This is a good-faith assessment of the salary range for this position only. In determining the actual salary within this range, MSIG USA will consider a candidate's relevant experience, location, and other job-related factors.
Additional Benefits:
Healthcare and Retirement Benefits
Comprehensive medical, dental, and vision coverage
401(k) with a generous employer match and profit-sharing contribution
Wellness incentive program
Life and accidental death and dismemberment (AD&D) insurance
Flexible spending programs
Short-term and long-term disability plans
Additional Benefit Programs
Paid time off program
Paid charitable leave
Paid parental leave
Tuition reimbursement program
Personal insurance (auto/homeowners) discounts
It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!
It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.

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