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Associate In Insurance Data Analytics Jobs in Dayton, OH

Narwal

Senior Data Analyst

Mason, OH · On-site

$80K - $102K/yr

Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred. * Typically requires a minimum of 5 years of related ...

CYNET SYSTEMS

Data Analyst Operations

Mason, OH · On-site

$42 - $47/hr

Associate degree or equivalent experience required. * At least 5+ years of experience working ... Provide subject matter expertise for product configuration in the Facets system. * Partner with ...

New

CYNET SYSTEMS

Data Analyst Operations

Mason, OH · On-site

$42.20 - $47.20/hr

Associate degree or equivalent experience required. At least 5+ years of experience working within ... Provide subject matter expertise for product configuration in the Facets system. Partner with cross ...

New

AVA Consulting

Data Analyst

Mason, OH · On-site

S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to ... Associate degree or equivalent experience required. * At least 5 years of experience working within ...

New

Procter & Gamble

Data Analyst

Mason, OH · On-site +1

Data Analysts play a crucial role in helping businesses make informed decisions about their products, services, and marketing campaigns. Job duties include collecting and cleaning data from various ...

Diné Source, LLC

Data Analyst

Dayton, OH · On-site

$70 - $90/hr

This role is responsible for executing data management activities in data quality and data asset management.This position is a collaborative role that provides support for analysis and research into ...

New

Vosper Thornycroft Group

Data Scientist

Beavercreek, OH · On-site

$120 - $150/hr

Leverage third‑party tools to architect and prototype a modern data management and application development pipeline in a local and/or a cloud environment * Perform data analytics of simulated and ...

VTG

Data Scientist

Beavercreek, OH · On-site

Leverage third-party tools to architect and prototype a modern data management and application development pipeline in a local and/or a cloud environment * Perform data analytics of simulated and ...

VTG

Data Scientist

Beavercreek, OH · On-site

Leverage third-party tools to architect and prototype a modern data management and application development pipeline in a local and/or a cloud environment * Perform data analytics of simulated and ...

VTG

Data Scientist

Beavercreek, OH · On-site

Leverage third-party tools to architect and prototype a modern data management and application development pipeline in a local and/or a cloud environment * Perform data analytics of simulated and ...

Jobtailor

Membership Data Analyst

Wilmington, OH · On-site

$70 - $95/hr

Perform statistical analysis to identify variances, trends, and correlations in the areas of member ... Analyze membership data on a daily, weekly, monthly, quarterly and annual basis to identify trends ...

New

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Dayton, OH

Associate In Insurance Data Analytics information

See Dayton, OH salary details

$3.2K

$6.1K

$8.7K

How much do associate in insurance data analytics jobs pay per month?

As of Aug 20, 2026, the average monthly pay for associate in insurance data analytics in Dayton, OH is $6,114.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,550.00 and $6,516.67 per month, depending on experience, location, and employer.

What is an associate in insurance data analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What are the key skills and qualifications needed to thrive as an associate in insurance data analytics?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are some common challenges faced by an associate in insurance data analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are popular job titles related to Associate In Insurance Data Analytics jobs in Dayton, OH?

For Associate In Insurance Data Analytics jobs in Dayton, OH, the most frequently searched job titles are:

What job categories do people searching Associate In Insurance Data Analytics jobs in Dayton, OH look for?

The top searched job categories for Associate In Insurance Data Analytics jobs in Dayton, OH are:

Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Dayton, OH as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $73,371 per year, or $35.3 per hour.

Senior Data Analyst

Narwal

Mason, OH • On-site

$80K - $102K/yr

Full-time

Re-posted 21 days ago

Job description

Responsibilities:

  • Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio.
  • Interprets and communicates insights to product, service and business management.
  • Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies.
  • Develops in-depth understanding of underlying data, data structures, and business uses of data.
  • Develop functional understanding of the business and apply towards building business facing marts
  • Partners with business teams to gather, document and maintain business requirements that will inform data modeling decisions.
  • Compiles data from various sources into a single, consumable, data set, including design and implementation of data cubes.
  • Required strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
  • Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc)
  • Knowledge of Big Data landscape as demonstrated through experience or certification. Eg., Hadoop, Spark, Hive, Pig, Impala.
  • Working Experience in ETL Tools like DataStage, Informatica and procedures including PL/SQL.
  • Experience with relational databases, OLAP Cubes and data warehousing (Oracle, DB2, Hadoop) preferred
  • Experience in data mining and root cause analysis preferred
  • Ability to work in a fast-paced and dynamic environment
  • Ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information.


Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred.
  • Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.