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Remote Insurance Data Analytics Jobs in Ohio (NOW HIRING)

A strategic leader overseeing data and analytics operations across various departments and regions ... Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

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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 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:

Director - Data Analytics

Imh

On-site, Remote

Full-time

Posted 12 days ago


Job description

Job Description:

A strategic leader overseeing data and analytics operations across various departments and regions. This role involves directing analytical strategies to provide accurate and timely data for guiding decisions. Leads high-impact teams with expertise in healthcare data, partnering with business and clinical leaders to deploy world-class data analytics and support the mission of helping people live the healthiest lives possible and business strategies.
This Director role provides strategic leadership across key Enterprise Analytics functions, with specific responsibility for Supply Chain Analytics, Human Resource Analytics, and other Shared Services Analytics teams. The leader will partner closely with stakeholders and analytics teams to set priorities, focus drive high-impact initiatives, strengthen governance and delivery standards, and ensure analytics capabilities create measurable value across the organization.
Candidates outside of Utah may be considered, but we are are not currently hiring remote workers in the following states: CA, CT, HI, IL, NY, RI, VT, and WA. Business travel will be necessary, regardless of state of residence, and will primarily be within Intermountain Health's service area (UT, ID, NV, CO, WY, MT), but may also require travel within the United States.

Essential Functions

  • Develop and execute strategic plans for the entire data and analytics division, ensuring alignment with Intermountain strategies.

  • Lead governance and prioritization workgroups, ensuring work priorities align with business unit, region, and system priorities. Must effectively communicate with executives under high pressure and tight timelines.

  • Accountable for delivering high performance on Enterprise Analytics key performance indicators (KPIs) across all teams, such as Strategic Impact, Value Realization, and Team Engagement.

  • Possess an expert understanding of data platforms and architectures to enable strong partnerships with data architects, advisors, and analysts in developing analytic solutions.

  • Ensure that managers of teams responsible for data deliverables adopt best practice standards that align with overall analytic and business strategies.

  • Ensure alignment and support of Data Governance strategy, including data stewardship and data quality for the entire business unit, aligning with organization standards.

  • Directly or indirectly lead multiple roles on collaborative delivery teams, Data Scientists, Data Analysts, Data Architects, and other supporting roles.

  • Frequently interface with executive leadership, synthesizing large, complex topics into succinct and consumable forms for highest impact and decision-making.

  • Provide strategic leadership and direction for departments/functions, continuously challenging the status quo by evaluating current processes and practices against industry standards both inside and outside of healthcare.

  • Mentor and coach managers, supervisors, and analytic caregivers, ensuring adequate management succession plans are in place.

  • Provide ongoing training, maintenance, monitoring, and promotion of data applications and reports to ensure data insights are widely known, accessible, and used to their fullest potential.

  • Manage business and stakeholder relationships within areas of responsibility, focusing on solutions and strategies that create win-win situations both inside and outside of the analytic organization.

  • Deliver results for areas of responsibility, including goal setting, implementation, and problem/issue resolution

Skills

  • Strategic Vision

  • Executive Interaction

  • Platform Mastery

  • Leadership Excellence

  • Stakeholder Strategy

Qualifications

Minimum Qualifications:

  • Bachelor's Degree in a related field with extensive professional experience in analytics and project management.

  • Demonstrable experience in leading system-wide analytics projects and developing system solutions.

  • Recognized domain expertise in clinical and business domains.

  • Extensive expertise in Product Management, Project Management, or Program Management philosophies and methodologies, and capable of strategically applying them to complex data analytic projects to ensure alignment with business goals and efficient execution.

  • Recognized thought leadership and ability to serve as an extension of senior data leaders.

  • Demonstrated executive presence and proficiency in managing stakeholder relationships

Preferred Qualifications:

  • Master's Degree in a related data or analytics field such as statistics, mathematics, information systems, computer science, finance, business management, or economics.

Physical Requirements

  • Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment.

With this position, you are eligible to participate in the Annual Pay for Performance (AP4P) Plan. This plan enables Intermountain Health to provide leaders with an additional performance compensation opportunity. The AP4P award opportunities are calculated as a percentage of your base salary. Awards are paid out based on attainment of selected Board-approved goals.

Location:

Key Bank Tower, Transformation Center

Work City:

Salt Lake City

Work State:

Utah

Scheduled Weekly Hours:

40

The hourly range for this position is listed below. Actual hourly rate dependent upon experience.

$77.50 - $119.68

We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.

Learn more about our comprehensive benefits package here.

Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

At Intermountain Health, we usethe artificial intelligence ("AI") platform, HiredScore to improve your job application experience.HiredScore helps match your skills and experiences to the best jobs for you. WhileHiredScore assists in reviewing applications, all final decisions are made byIntermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process.

All positions subject to close without notice.