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Senior Insurance Data Analytics Jobs in Champaign, IL

Smartz

Senior Database Architect

Champaign, IL · On-site

$63 - $84.25/hr

You will be enhancing our data storage capacity, writing new support programs and scripts, and ... Company paid Medical, Dental, Vision, and Life insurance * Retirement and savings plan with company ...

Smartz

Senior Database Architect

Champaign, IL · On-site

$63 - $84.25/hr

You will be enhancing our data storage capacity, writing new support programs and scripts, and ... Company paid Medical, Dental, Vision, and Life insurance * Retirement and savings plan with company ...

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All JobsInsurance Data Analytics JobsSenior Insurance Data Analytics JobsSenior Insurance Data Analytics Jobs in Champaign, IL

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How much do senior insurance data analytics jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for senior insurance data analytics in Champaign, IL is $56.90, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $67.40 per hour, depending on experience, location, and employer.

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are the most commonly searched types of Insurance Data Analytics jobs in Champaign, IL?

The most popular types of Insurance Data Analytics jobs in Champaign, IL are:

What cities near Champaign, IL are hiring for Senior Insurance Data Analytics jobs?

Cities near Champaign, IL with the most Senior Insurance Data Analytics job openings:

Senior Insurance Data Analytics jobs near you

Marketing Data & Analytics Specialist

Experience Champaign Urbana

Champaign, IL • On-site

$73.40 - $91.75/hr

Other

Medical, Retirement, PTO

Posted 6 days ago

Job description

Position: Marketing Data & Analytics Specialist

Location: Champaign, IL

Job Id: 4506

# of Openings: 0

Pay Range: $73,400 - $91,750 per year

At First Mid, base salary is one component of our Total Rewards program. Exact compensation is determined by factors such as (but not limited to) education, skills, internal equity, and experience. This position offers additional compensation in the form of discretionary short-term incentives (i.e. bonus, incentives, and/or commission). Benefits for this role include comprehensive healthcare, well‑being benefits, paid family leave as well as generous paid time off. Total Rewards also include banking perks, tuition reimbursement, an Employee Stock Purchase Plan, and a 401K plan with company match. Incentives and benefits are subject to eligibility requirements.

This is a key member of the marketing team's business strategy and works closely with CMO and Marketing Strategy roles. Entrusted with deriving actionable insights and recommendations from multiple data sources, supports strategic goals through data management, reporting, analysis, customer intelligence, segmentation, targeting, demographics and other business analytics. Owns reporting and analysis for defined business areas. Translates data into insights, identifies performance trends, and partners with Strategy and CRM to support planning and optimization. Preferably leads enterprise‑level analytics, performance measurement, and insight generation. Shapes KPI frameworks, partners with senior leaders, and drives data‑informed decision‑making across Marketing and the business.

Responsibilities
  • Lead analytics strategy for major segments or enterprise initiatives
  • Own reporting and analysis for assigned segments or campaigns
  • Build dashboards, performance summaries, and KPI tracking
  • Develop KPI frameworks, measurement plans, and insight models
  • Translate data into insights and recommendations
  • Improve reporting processes and data visualization
  • Partner with CRM, Strategy, and business lines to support planning and improve data maturity
  • Position data (knowledge of our customers, products, employees, vendors, and the market at large) as a driver of messaging, budgetary spending, and tactics
  • Ensure data quality and governance across assigned domains
  • Serve as quality assurance guide for reporting functions within the department
  • Champions data integrity and literacy required for customer‑centric efforts
  • Works with marketing leadership to define standards and parameters of business rules for accuracy, cross‑functional alignment, and structural integrity of data, including the creation of process documentation, templates, and systems required for effective data management
Qualifications
  • Bachelor's or advanced degree in marketing, data administration, information systems or equivalent experience.
  • Minimum of 5+ years' experience in Analytics, Business Intelligence, or Marketing Insights roles.
  • Financial services or regulated industry experience preferred.
Skills
  • Advanced data analytics, strategic insight development, data storytelling, KPI design and development, enterprise influence, segmentation, and cross‑functional collaboration.
  • Has a working understanding of marketing functions and, in particular, the role that data and technology play in powering those functions.
  • Experience with a CRM system, preferable Microsoft Dynamics, and tools comprising the marketing stack.
  • Experience creating and delivering marketing metrics related to reports, including ROI.
  • Experience in market trends and consumer behavior research.
  • Strong analytical, critical thinking and problem‑solving skills.
  • High attention to detail and ability to meet deadlines.
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