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Senior Insurance Data Analytics Jobs Near Me

DPDHL

Sr Business Data Analyst

Westerville, OH · On-site +1

$70K - $115K/yr

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

DHL

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

AXIS Capital

Head of Insights and Analytics

London, OH · On-site

... and senior executives) to ensure analytical initiatives meet real business needs and are fully ... Stay abreast of industry trends in insurance analytics, data science, and AI. Evaluate and adopt ...

Hylant

Lead Data & Analytics Architect

Columbus, OH · On-site

Insurance industry experience, including familiarity with data domains such as policy, claims, billing, underwriting, or risk. * Six or more years of experience in data architecture, analytics ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Recommend and implement process improvements within the analytics function. * Uphold data governance, security, and confidentiality standards across all reporting environments. * Participate in ...

EASE Logistics

Senior Data Analyst

Dublin, OH · On-site

$81K - $102K/yr

Recommend and implement process improvements within the analytics function. * Uphold data governance, security, and confidentiality standards across all reporting environments. * Participate in ...

RevSpring

Senior Data Engineer - Analytics

Columbus, OH · On-site

$102K - $139K/yr

RevSpring is seeking a Senior Data Engineer - Analytics to design data pipelines and improve data integrity within their analytics team. The role involves collaborating with internal teams, managing ...

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How much do senior insurance data analytics jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for senior insurance data analytics in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.
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Senior Insurance Data Analytics jobs near you
A map of the United States highlighting the number of Senior Insurance Data Analytics job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Senior Insurance Data Analytics job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Sr Business Data Analyst

DPDHL

Westerville, OH • On-site, Remote

$70K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 19 days ago

Job description

Remote/U.S.-based position with up to 50% travel required to support startup implementations and site launches.


The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000.

For roles within California the range is $70,304 - $115,000 and Washington is $80,169 - $115,000.

DHL Supply Chain offers multiple benefits including Medical, Dental, Vision, Prescription, Discounted Stock Purchase General Bonus Plan and a generous PTO policy.


Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking, build impactful visualizations, and support operational excellence. This is your opportunity to grow your skills, collaborate with warehouse leaders, and become a go-to resource for data tools and insights. If you're curious, analytical, and ready to lead, this role is for you.


Job Description

As a Senior Business Data Analyst, you will support warehouse operations by transforming data into actionable insights that improve performance and efficiency. You'll collaborate with site leadership and key stakeholders to build dashboards, implement standard tools, and support data-driven decision-making. In addition to core analytics work, you'll have the opportunity to lead projects across multiple sites, support site startups, and act as a point of contact for analytics community initiatives.

  • Develop and maintain Power BI reports to support operational and strategic decisions
  • Full development of Power BI including data visualization and back-end data model design
  • Clean, model, and analyze data using SQL, DAX, and statistical techniques to uncover trends and drive improvements
  • Implement and maintain standard reporting tools for the site or sector
  • Assist various functional teams (HR, Finance, etc.) with customized analytical solutions to meet evolving business needs
  • Serve as a point of contact for Power BI-related questions and analytics community initiatives
  • Lead knowledge-sharing sessions to promote data literacy and tool adoption
  • Manage analytics projects independently and across multiple sites
  • Design and implement data pipelines (ETL) from structured, semi-structured, and unstructured sources
  • Apply Python, R, or other analytics tools to enhance reporting and automation
  • Stay current with modern data analytics trends and apply best practices to improve processes
  • Support site startups as needed by implementing analytics tools and reporting frameworks


Required Experience

  • Bachelor's degree in Business, Logistics, Mathematics, Statistics, or a related field, or 4 years of equivalent professional experience, required
  • 3+ years of experience in data analytics, business intelligence, or a related field, required
  • Extensive experience using SQL or other scripting languages (such as Python or R) to query, clean, and transform data, required
  • Proficiency in Power BI, including building dashboards and reports from scratch, required
  • Proficiency in writing DAX expressions to automate and enhance Power BI reports, required
  • Experience designing and managing data pipelines and working with diverse data sources, required
  • Strong understanding of statistical concepts, data modeling techniques, and modern analytics trends, required
  • Excellent communication and presentation skills, with the ability to translate data into actionable insights, required
  • Ability to work independently, manage multiple priorities, and lead cross-functional projects, required
  • Must be able to work fully onsite if role based out of a warehouse, required


Our Organization is an equal opportunity employer.

Employment Type: FULL_TIME

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