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Senior Insurance Data Analytics Jobs in Indiana (NOW HIRING)

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

... data analytics, or equivalent combination. Advanced degree preferred. * Minimum of two years of experience in a senior analytical role * Ability to travel 10% * Quality Management System process ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Socket.dev

Data Analyst

Bedford, IN · On-site

$120 - $170/hr

... senior leadership * Provide regular status updates, analytical findings, and program reporting to ... Stay current with emerging trends, technologies, and methodologies in data analytics and apply ...

New

SAIC

Data Analyst

Bedford, IN · Remote

Stay current with emerging trends, technologies, and methodologies in data analytics and apply ... senior leadership and non-technical audiences * Strong critical thinking, problem-solving, and ...

POLYWOOD

VP of Data & Analytics

Syracuse, IN · On-site

The Role The VP of Data & Analytics is POLYWOOD's senior data leader, responsible for the people, platforms, and practices that turn raw data into business advantage. You'll own the enterprise data ...

SAIC

Data Analyst

Bedford, IN · On-site

Stay current with emerging trends, technologies, and methodologies in data analytics and apply ... senior leadership and non-technical audiences * Strong critical thinking, problem-solving, and ...

SAIC

Data Analyst

Bedford, IN · On-site

Stay current with emerging trends, technologies, and methodologies in data analytics and apply ... senior leadership and non-technical audiences * Strong critical thinking, problem-solving, and ...

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Senior Insurance Data Analytics information

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 Indiana?

The most popular types of Insurance Data Analytics jobs in Indiana are:

Senior Insurance Data Analytics jobs near you

Senior Data Quality Analyst

OrganOx

Indianapolis, IN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

ABOUT ORGANOX:
OrganOx is a commercial stage organ technology company dedicated to developing technologies to improve outcomes for patients with acute or chronic organ failure. The company was established as a spin out of the University of Oxford in 2008 and is now part of the Terumo Group. OrganOx is a pioneer in normothermic machine perfusion (NMP). It's flagship platform, the metra®, is available for use in the U.S., Europe, Canada, and Australia. It has been utilized in over 7,000 liver transplants to date to keep donor livers in a metabolically active state outside the body enabling longer preservation times and functional assessment of the organ prior to transplant, leading to an increased number of organs available for transplant. Founded in 1921, Terumo Corporation (TSE:4543) strives to fulfil its mission of "Contributing to Society through Healthcare" by providing a comprehensive range of solutions in the fields of therapeutic procedures, hospital operations, and life sciences in more than 160 countries and regions.
Position Summary
The Senior Data Analyst is responsible to deliver insightful metrics, reports, and dashboards to support our business. The role requires collaboration with other analysts, data engineers, data product managers, and business stakeholders. The ideal candidate will be an organized, detail-oriented collaborator with strong communication.
Listed below are the major responsibilities of the role and a brief description of some of the key tasks to be performed. This list is not totally exhaustive.
This is an on-site position in Madison, NJ. The position is responsible for overseeing our complaint and servicing data systems and reporting frameworks, ensuring the integrity and precision of data. The ideal candidate will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic business decisions. The Senior Data Analyst is tasked with establishing analytical and reporting functions, as well as monitoring performance and quality assurance processes to pinpoint areas for improvement.
Major Responsibilities
Under direction from the Director, Complaints Management, the Senior Data Analyst will be responsible for the following tasks:
  • Ensure that data analysis and reporting is accurate, consistent, and reliable throughout its lifecycle, which is critical for making valid and trustworthy decisions
  • Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors
  • Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems
  • Create and maintain processes to generate accurate and timely reports that help stakeholders understand and act on key data insights
  • Identify opportunities for process improvements
  • Engage with managers to specify data requirements for analysis projects tailored to their unique business processes
  • Design scripts and tools to automatically extract large volumes of data from websites or other digital sources, improving efficiency and availability
  • Detect, examine, and decode trends or patterns within intricate datasets
  • Employ statistical techniques to scrutinize data and produce actionable business insights
  • Develop data dashboards, charts, and visual aids to support decision-making across departments
  • Conduct in-depth data analysis using advanced statistical methods and tools to uncover patterns, correlations, and insights
  • Manage and update databases to ensure they are secure, accessible, and functioning properly
  • Coordinate with management to align business and informational priorities
  • Adhere to the letter and spirit of OrganOx's Code of Conduct and all other company policies

Requirements
Skills & Experience
  • Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R
  • Proficient at create presentations and data visualizations within PowerPoint
  • Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
  • Capable of critically evaluating data to derive meaningful, actionable insights
  • Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background
  • Experience in medical device or pharmaceutical industries preferred
  • Ability to work independently

Qualifications
  • Bachelor's Degree in an analytical/research field (Math, Physics, Engineering, Computer Science, Statistics, etc.) and 5+ years of experience in data analytics, or equivalent combination. Advanced degree preferred.
  • Minimum of two years of experience in a senior analytical role
  • Ability to travel 10%
  • Quality Management System process knowledge preferred
  • Expertise with Databricks preferred

A job description does not imply that the duties stated are the only ones to be performed by the job holder. Job holder will be required to follow any other job-related instruction as reasonably requested by their line manager or their designate.
Benefits
We offer competitive compensation and comprehensive benefits available from day one, including health, dental, vision, disability coverage, and flexible spending accounts. Additionally, we offer a 401(k)-retirement plan with company matching after 90 days, paid time off, holidays, and additional leave benefits, as well as employee discounts and access to our onsite wellness facility. OrganOx supports work-life balance and provides opportunities for ongoing professional development.

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