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Volunteer Insurance Data Analytics Jobs in Ohio (NOW HIRING)

CYNET SYSTEMS

Data Analytics

Mason, OH · On-site

$50 - $55/hr

Experience working in Healthcare, Health Insurance, Financial Services, or other highly regulated ... Data Analysis & Data Visualization. * Data Governance. * Statistical Analysis. * Power BI.

US Bank

Data Analytics 5 - Operations

Cincinnati, OH · On-site

$82K - $104K/yr

We're seeking a Senior Data Analyst who loves working with data, asking the right questions, and ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

New

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Experience in Healthcare / Insurance / Data Analytics platforms. * Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.). * Experience in data governance and data quality frameworks.

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All JobsVolunteer Insurance Data Analytics JobsVolunteer Insurance Data Analytics Jobs in Ohio

Volunteer Insurance Data Analytics information

What is the difference between Volunteer Insurance Data Analytics vs Insurance Data Analyst?

AspectVolunteer Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsRelevant certifications, data analysis skills, insurance knowledgeDegree in statistics, data science, or related field; certifications preferred
Work EnvironmentNon-profit, volunteer-based, flexible hoursCorporate insurance companies, structured office settings
Employer & Industry UsageNon-profit organizations, insurance charitiesInsurance firms, financial institutions
Common Search & ComparisonVolunteer Insurance Data Analytics vs Insurance Data Analyst

Volunteer Insurance Data Analytics focuses on analyzing insurance data within volunteer or non-profit contexts, often with flexible or part-time roles. Insurance Data Analysts work in corporate settings, handling large datasets to inform business decisions. Both roles require similar analytical skills and insurance knowledge but differ mainly in work environment and employment type.

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:

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For Volunteer Insurance Data Analytics jobs in Ohio, the most frequently searched job titles are:

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The top searched job categories for Volunteer Insurance Data Analytics jobs in Ohio are:

What cities in Ohio are hiring for Volunteer Insurance Data Analytics jobs?

Cities in Ohio with the most Volunteer Insurance Data Analytics job openings:

Volunteer Insurance Data Analytics jobs near you

Senior Data Analytics & Insights Analyst

Goosehead Insurance Agency LLC

Westlake, OH • On-site

$79K - $100K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Goosehead Insurance rating

7.4

Company rating: 7.4 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

230th of 310 rated insurance

Job description

About Goosehead
Goosehead Insurance has been disrupting the insurance industry by giving clients the power of choice, utilizing a smarter marketing approach, and delivering world class service. This is all powered by our focus on hiring and retaining extraordinary people. Our clients trust us with their most valuable possessions so, we're more than just a bit selective when it comes to hiring new team members.
Job Summary
The Senior Data Analytics and Insights Analyst will lead the development of cutting-edge data models, datasets, and dashboards while mentoring junior team members and driving best practices in data analytics and insights. The Senior Data Analytics and Insights Analyst will interact with other teams to form a data-driven culture leveraging metrics and KPIs and strategic analysis on company performance and trends. The role requires the following capabilities: excellent communication skills, especially the ability to respectfully challenge and influence; strong problem-solving/analytical skills, strong data management skills, and business acumen.
Key Responsibilities:
Strategic Data Analysis & Insights:
  • Lead the design, development, and optimization of complex data models, datasets and interactive dashboards using Tableau to guide strategic decision-making.
  • Perform in-depth analyses of large datasets to identify trends, opportunities, and actionable insights.
  • Develop and present key business insights to senior leadership in a clear, concise, and impactful manner.
  • Ensure all BI solutions align with organizational objectives and business goals.

Advanced Data Management & Optimization:
  • Write, optimize, and troubleshoot complex SQL queries to extract and manipulate data across multiple databases, with a primary focus on Snowflake.
  • Oversee the design, enhancement, and maintenance of data pipelines to ensure data accuracy, quality, and efficiency.
  • Serve as the subject matter expert for Snowflake, guiding the organization in leveraging it as the central data platform for advanced analytics.

Collaboration & Leadership:
  • Partner with business units and cross-functional teams to gather requirements and define KPIs, ensuring BI solutions address key business challenges.
  • Act as a trusted advisor to C-suite executives by providing data-driven insights and recommendations.
  • Mentor junior BI team members, fostering a culture of knowledge sharing and continuous improvement.

Skills & Qualifications:
  • Bachelor's degree in Data Analytics, Information Systems, Data Science, or a related field.
  • 5+ years of experience in a BI Analyst or similar role, working with large, complex datasets.
  • Advanced proficiency in SQL, Tableau, and data warehousing concepts, with hands-on experience using Snowflake/Databricks or other cloud-based platforms.
  • Strong background in Salesforce, Workday and Talent Acquisition reporting.
  • Demonstrated ability to communicate technical insights effectively to both technical and non-technical stakeholders, including C-suite executives.
  • Exceptional problem-solving skills and attention to detail.

Preferred:
  • Experience in the insurance industry or a similar data-driven environment.
  • Proficiency in scripting languages such as Python or R.
  • Expertise in data visualization storytelling and dashboard design best practices.
  • Demonstrated Tableau proficiency via Tableau Public portfolio.

Benefits Summary
  • High quality voluntary health, vision, disability, life, and dental insurance programs

  • 401K Matching Plan

  • Employee Stock Purchase Plan

  • Paid holidays, vacation, and sick leave

  • Corporate sponsored programs to enhance employee physical, financial, mental and emotional wellness

  • Financial Solution Program

Equal Employment Opportunity:
Goosehead is an equal opportunity employer and complies with all applicable federal, state, and local laws, rules, guidelines, and regulations. Goosehead strictly prohibits and does not tolerate unlawful discrimination against employees, applicants, or any other covered person because of race, color, religion, creed, national origin, ancestry, ethnicity, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity, transgender status, age, physical or mental disability, veteran status, uniformed service, genetic information, or any other characteristic protected by applicable law. All applicants for employment and all Goosehead employees are given equal consideration based solely on job-related factors, such as qualifications, experience, performance, and availability.

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