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Assistant Insurance Data Analytics Jobs in Ohio (NOW HIRING)

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.

AVI Foodsystems

Head of Data & Analytics

Warren, OH · On-site

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Health, dental, vision, and life insurance for full-time team members * 401(k) with generous ...

Materion

Sustainability Data Analyst

Cleveland, OH

Also review of historical database accuracy and resolution of errors or outliers. Assist with ... Miscellaneous sustainability program support including development of charts, analytics or other ...

RAKS Group LLC

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

Our client has a contract need for a Senior Data Analystto assist with their project to implement ... The Data & Analytics team is seeking a resource that will be engaged in hands-on and in-person ...

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All JobsInsurance Data Analytics JobsAssistant Insurance Data Analytics JobsAssistant Insurance Data Analytics Jobs in Ohio

Assistant Insurance Data Analytics information

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

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

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 cities in Ohio are hiring for Assistant Insurance Data Analytics jobs? Cities in Ohio with the most Assistant Insurance Data Analytics job openings:
Assistant Insurance Data Analytics jobs near you
Data Engineer

Data Engineer

CYNET SYSTEMS

Mason, OH • On-site

$52 - $57/hr

Contractor

Posted 5 days ago

Job description

Job Overview:
 
Pay Range: $52hr - $57hr
  • Data Engineering Tech Lead (7-10+ Years Experience) Role Overview.
  • We are seeking an experienced Data Engineering Tech Lead with 7-10+ years of experience to design, build, and lead scalable data engineering solutions across enterprise platforms.
  • The ideal candidate will be responsible for architecting data pipelines, leading engineering teams, collaborating with business and cross-functional IT teams, and delivering high-quality data platforms, analytics, and reporting solutions.
Responsibilities:
  • Data Engineering & Architecture Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
  • Build robust data ingestion frameworks for structured and unstructured data sources.
  • Architect and implement data lakes, data warehouses, and data marts.
  • Ensure high performance, scalability, and reliability of data systems Pipeline & Data Platform Development Develop and optimize batch and real-time data processing pipelines.
  • Work with modern tools such as Airflow, AWS Glue, Azure Data Factory, PySpark, or equivalent Implement data validation, monitoring, and quality frameworks.
  • Enable integration across upstream and downstream systems Database & Data Modeling Design and maintain SQL and NoSQL databases (e.g., MongoDB, relational systems).
  • Develop complex SQL queries, stored procedures, and performance tuning strategies Implement data models (dimensional, star/snowflake schemas).
  • Ensure data consistency, integrity, and governance Cloud & Data Ecosystem Design and manage cloud-based data platforms (AWS / Azure / GCP) Implement CI/CD pipelines for data engineering workflows.
  • Ensure availability, scalability, and reliability of data environments Leadership & Technical Mentoring Lead and mentor a team of Data Engineers and Developers Guide best practices, coding standards, and performance optimization Conduct code reviews, design reviews, and technical decision-making.
  • Foster a culture of continuous improvement and innovation.
  • Agile Delivery & Stakeholder Collaboration Work within Scrum/Agile teams, participating in sprint planning, reviews, and retrospectives.
  • Collaborate with Product Owners, Business Analysts, and Architects Work closely with cross-functional IT teams to deliver end-to-end data solutions.
  • Translate business needs into technical data solutions and architecture designs Data Quality, Governance & Compliance Implement frameworks for data quality, validation, and monitoring.
  • Ensure compliance with enterprise data governance and security standards Support regulatory and audit requirements where applicable.
Required Skills and Experience:
  • 7-10+ years of experience in Data Engineering / Data Platforms Strong expertise in: SQL and NoSQL databases (e.g., MongoDB) ETL/ELT pipelines and data integration.
  • Data warehousing and data modeling concepts.
  • Experience with big data and distributed systems (Spark, Hadoop, etc.) Hands-on experience with cloud platforms (AWS/Azure/GCP).
  • Experience with workflow orchestration tools (Airflow, ADF, etc.) Strong knowledge of CI/CD and DevOps for data pipelines.
  • Proven experience in leading and mentoring engineering teams.
Preferred Skills:
  • Experience in Healthcare / Insurance / Data Analytics platforms.
  • Exposure to real-time streaming frameworks (Kafka, Kinesis, etc.).
  • Experience in data governance and data quality frameworks.
  • Familiarity with API integrations and microservices architecture.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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