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Remote Insurance Data Analytics Jobs in Ohio (NOW HIRING)

Background in healthcare, pharmaceutical, biopharma, or insurance environments * Exposure to ... Standard office/remote work environment CoverMyMeds and McKesson value diverse perspectives and are ...

Data Operations Support Healthcare $27.00 per hour 20 hours a week - work in EST Time Zone Remote 6 Month Contract What You'll Do: * Extract, analyze, and compare raw data from multiple sources to ...

New

... on energy data analytics, invoice auditing, and operational insights. This role combines large ... Employer 100% Paid Life Insurance Benefits * Employer 100% Paid Short Term and Long-Term Disability

... Analytics Office to influence the business and technology strategies for the company. If you ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... Analytics Office to influence the business and technology strategies for the company. If you ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... Analytics Office to influence the business and technology strategies for the company. If you ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Energy Analyst

Dublin, OH · On-site +1

$60K - $70K/yr

... on energy data analytics, invoice auditing, and operational insights. This role combines large ... Hybrid or remote work schedule Trio offers a competitive and comprehensive compensation and ...

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

CoverMyMeds' Data & Analytics organization is seeking a Data Architect (Databricks) to define and ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

CoverMyMeds' Data & Analytics organization is seeking a Data Architect (Databricks) to define and ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Remote Sensing Scientist

Dayton, OH · Remote

$91K - $140K/yr

... analysis and remote sensing technologies to answer specific science, technology, and innovation ... Experience with common remote sensing EO-IR data formats Desired Qualifications: * Master's degree ...

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Minimum of 3 years of experience in analytics/data analysis. Preferred Qualifications: Minimum of 2 ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Showing results 41-60

Remote Insurance Data Analytics information

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
What are the most commonly searched types of Insurance Data Analytics jobs in Ohio? The most popular types of Insurance Data Analytics jobs in Ohio are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Ohio? For Remote Insurance Data Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Ohio look for? The top searched job categories for Remote Insurance Data Analytics jobs in Ohio are:
What cities in Ohio are hiring for Remote Insurance Data Analytics jobs? Cities in Ohio with the most Remote Insurance Data Analytics job openings:
Data Scientist - Predictive Analytics

Data Scientist - Predictive Analytics

CoverMyMeds

Columbus, OH • On-site, Remote

$108K - $181K/yr

Full-time

Posted 10 days ago


CoverMyMeds rating

8.0

Company rating: 8.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

109th of 217 rated software companies


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

CoverMyMeds, part of McKesson, helps patients access the medications they need by solving complex medication access and affordability challenges. Through data, automation, and expert intervention, we support providers, pharmacies, payers, biopharma, and-most importantly-patients.

Role Overview

We are seeking aData Scientistto supportforecasting and demand planning initiatives, includingvolume and contact center forecasting. This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decisionmaking.

You will work closely with crossfunctional partners in operations, workforce management, and analytics to translate complex data into clear, actionable insights that drive business outcomes.

Key Responsibilities:

  • Analyze large, complex datasets to improveforecasting accuracy and operational planning

  • Develop, maintain, and enhancestatistical and predictive modelsfor volume and contact center forecasting

  • Applytimeseries forecasting, predictive modeling, and scenario planningtechniques to anticipate demand

  • Partner with stakeholders to identify opportunities to improve productivity, performance, and customer experience

  • Create and presentclear data visualizations and insightsfor technical and nontechnical audiences

  • Communicate forecasting results and recommendations to internal teams and occasional external partners

  • Support optimization of staffing and workforce planning models with guidance from senior team members


Priority will be given to candidates who reside in the Columbus, OH metropolitan area

We are unable to provide sponsorship for work authorization for this role, presently or in the future.

Minimum Requirements

  • Bachelor's degree inData Science, Statistics, Mathematics, Computer Science, Engineering, or equivalent experience

  • 4+ years of experienceapplying advanced analytics to solve business problems

Critical Skills & Experience

  • Strong experience (4+ years) withforecasting and statistical modeling, includingtimeseries analysis

  • Proficiency(4+ years)inPython (required)and experience withR

  • Advanced(4+ years)SQL and experience working with large datasets

  • Handson experience(4+ years)withdata modeling, statistics, and applied mathematics

  • 4+years' ExperienceusingDatabricks, Snowflake, or similar cloudbased data platforms

  • Ability to analyze trends, mine complex transactional data, and troubleshoot analytical issues

  • Experience creatinganalyticsdriven visualizationsand presenting insights clearly

  • Comfortable working with moderate autonomy in a collaborative, crossfunctional environment

Preferred / NicetoHave

  • Experience withcontact center analytics, workforce management, or operational forecasting

  • Background inhealthcare, pharmaceutical, biopharma, or insuranceenvironments

  • Exposure to advanced techniques such asmachine learning, regression, segmentation, NLP, or decision trees

  • Familiarity withAzure, automation, version control, or model deployment workflows

  • Strong communication, presentation, and stakeholdermanagement skills

  • Intellectual curiosity, comfort with ambiguity, and desire to continuously learn


Additional Information

  • Must be authorized to work in the U.S. (no sponsorship available)

  • Standard office/remote work environment

CoverMyMeds and McKesson value diverse perspectives and are committed to creating an inclusive environment where everyone can thrive.


We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$108,800 - $181,300

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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