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Statistical Data Jobs in Illinois (NOW HIRING)

Perform characterization sample testing, statistical data analysis and summarize assay results, prepare e-notebooks and reports. * Experience & Knowledge Essential: * Experience in cell culture ...

Demonstrated experience in machine learning, predictive modeling, or statistics / data mining using large amounts of structured, semi structured, and unstructured data Demonstrated experience using ...

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Statistical Data information

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

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

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

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What is a statistical data analyst?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.

What cities in Illinois are hiring for Statistical Data jobs?

Cities in Illinois with the most Statistical Data job openings:

Infographic showing various Statistical Data job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr Statistical Analyst or Statistical Special

American Property Casualty Insurance Association

Chicago, IL โ€ข On-site

$67K - $90K/yr

Full-time

Re-posted 9 days ago


Job description

Position Summary
The Senior Statistical Analyst or Statistical Specialist (final title will be determined based on the selected candidate's experience) is responsible for supporting Property & Casualty Insurance statistical reporting operations. This role will perform a variety of statistical reporting functions, including auditing company data submissions, researching and resolving submission issues, and preparing complex and summarized reports with a high degree of accuracy and timeliness. The position plays a key role in ensuring compliance with regulatory requirements and industry reporting obligations.

Principal Responsibilities

  • Audit company submissions for edit errors and reasonability.
  • Investigate and resolve out of balance conditions and data problems.
  • Prepare external reports and data files, including balancing, auditing, and issue resolution.
  • Communicate verbally, and in writing, with subscriber companies regarding data problems and solutions.
  • Correct company data, as directed.
  • Adhere to standard processes and completes all required documentation.
  • Recommend and document updates to business procedures for preparation of assigned reports, as needed.
  • Propose improvements to the business processes and/or technology to improve quality or increase efficiency.
  • Apply basic techniques of balancing and auditing in the preparation of external reports.
  • Complete all quality assurance tracking resources for both auditing and report production accurately and timely.
  • Review and approve test results from technology projects for accuracy and completeness.
  • Assist in training other analysts on personal productivity tools and basic job functions.
  • Train team members on specific assignments, statistical techniques, or tools.
  • Respond to special requests and prepares ad-hoc reports
  • Adhere to standard processes and completes all required documentation.

Additional Responsibilities:

  • Complete balancing and auditing tasks in the preparation of complex and/or summarized external reports and compilations.
  • Interpret insurance data trends and evaluate outcomes
  • Lead the production implementation of a new business process, report, or product.
  • Research, modify and test complex edit and project related system changes.
  • Participate in the review of tolerances and definition of new thresholds.
  • Initiate technology project requests, defines detailed business requirements, and approves the functional design of new technology components.
  • Participate in communication with regulatory agencies to understand changes, respond to questions, and provide requested information.
  • Develop and maintain business procedures.

Qualifications:

  1. Education: 3-5 years of property casualty insurance statistical reporting experience, with or for a property casualty insurance company or statistical agency.
  2. Experience:
  • Proficient in business processes, statistical procedures, and ISS 2000(internal tool) for assigned lines.
  • Proficient in all installed personal computer tools.
  • Ability to multitask in order to complete assignments efficiently.
  • Ability to communicate, both orally and in writing, with all departments within ISS and externally with customers.
  • Ability to review complex problems and implement solutions.
  • Works effectively with team members within the department and across departments.