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Remote Insurance Data Analytics Jobs in Ohio (NOW HIRING)

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH ยท On-site +1

$65.25 - $87.50/hr

DEPT: Digital Health & Technology Analytics Full-Time / REMOTE Are you passionate about leveraging data to drive healthcare forward? Premier Health is looking for an experienced Senior Data Architect ...

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Dayton, OH ยท On-site +1

$65.25 - $87.50/hr

DEPT: Digital Health & Technology Analytics Full-Time / REMOTE Are you passionate about leveraging data to drive healthcare forward? Premier Health is looking for an experienced Senior Data Architect ...

... 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.

Remote Sensing Scientist

Dayton, OH ยท 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 ...

Sr Data Architect, Databricks

Columbus, OH ยท On-site +1

$65 - $87/hr

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

Sr Data Architect, Databricks

Columbus, OH ยท On-site +1

$65 - $87/hr

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

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Showing results 1-20

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 cities in Ohio are hiring for Remote Insurance Data Analytics jobs? Cities in Ohio with the most Remote Insurance Data Analytics job openings:
SENIOR DATA ARCHITECT - DIGITAL HEALTH

SENIOR DATA ARCHITECT - DIGITAL HEALTH

Premier Health

Dayton, OH โ€ข On-site, Remote

$65.25 - $87.50/hr

Other

Medical, Retirement, PTO

Posted 20 days ago


Job description

DEPT: Digital Health & Technology Analyticsย 

Full-Time / REMOTE

Are you passionate about leveraging data to drive healthcare forward? Premier Health is looking for an experienced Senior Data Architect to enrich our team. This role promises the chance to make substantial contributions to the healthcare industry by ensuring data integrity, governance, and facilitating innovative solutions. As a beacon of excellence, Premier Health offers an inclusive culture where your contributions matter. We're celebrated for our commitment to employee satisfaction and fostering a connected workplace. By joining us, you'll help influence healthcare delivery while working in an environment that's as nurturing as it is stimulating.

REMOTE: This position can work remotely from out-of-state within the continental United States. Candidates must be eligible to work in the United States. Preference to candidates within 600 miles - in same or similar contiguous time zone to Dayton, Ohio (Eastern Standard Time)ย 

Responsibilities

  • Design and maintain optimal data architectural solutions
  • Address complex data challenges to enhance business insight delivery
  • Develop advanced data products to aid analytics initiatives
  • Mentor and lead in data standards, practices, and governance
  • Promote a culture of knowledge sharing and efficient data solutions
  • Guide the integration of new analytical tools and processes
  • Implement strategic communication plans for data capabilities
  • Collaborate on technical architectures for major enterprise projects

Requirements

  • Bachelor's Degree in IT, Computer Science, MIS, or related field
  • 5-7 years' experience in relevant data engineering/architecture roles
  • Proficiency in SQL, data analysis, and programming (Python/Scala)
  • Experience with Azure ecosystem, preferable
  • Knowledge of Linux OS
  • Familiarity with machine learning and data science concepts

Benefits

  • Fully Remote work-from-home Flexibility
  • Comprehensive Health Benefits
  • Generous paid vacation/ Time-Off-Program
  • 401(k) with Employer Match
  • Continuous Learning & Career Advancement Opportunities
  • Inclusive & Supportive Company Culture

Are you ready to take the next step in your career and have a significant impact on the healthcare industry? Premier Health invites you to become a part of our dynamic team as a Senior Data Architect. Dive into a role where your work contributes to real change and where every project advances our mission. Apply now and join a community that celebrates your passion and dedication to excellence.

Minimum Education: Bachelor's degreeย ย 

Type of degree: Bachelor's degree

ย  ย  ย  ย  ย  ย  *** years of relevant work experience will be considered in lieu of formal college degree. ***Bachelors required

Area of study or major: Information Technology, Computer Science, MIS, or engineering preferredInformation Technology, Computer Science, MIS, or engineering preferred

Preferred educational qualifications: Engineering and Computer ScienceEngineering and Computer Science

Experience

ย 

Minimum Level of Experience Required: 5 - 7ย  5 - 7 years of job related experienceyears of job related experience

Prior job title or occupational experience:ย  ย Data Governance, Data Engineer, IT Engineer, and Platform EngineerData Engineer, IT Engineer, and Platform Engineer

Prior specific functional responsibilities: ย 5 years of experience working in data engineering or architectural roles & 7 years preferred.5 years' experience working in data engineering or architectural roles & years preferred. .

Preferred experience:ย  ย Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions; Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Fabric (preferred); Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematicsย  Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions;ย ย Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Synapse (preferred); Database development experience using Hadoop or BigQueryand experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics ย  ย ย ย 

Other experience requirements:ย Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills