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Assistant Insurance Data Analytics Jobs in York, SC

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Assistant Insurance Data Analytics information

See York, SC salary details

$12

$18

$26

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

As of Sep 7, 2026, the average hourly pay for assistant insurance data analytics in York, SC is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.39 per hour, depending on experience, location, and employer.

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 cities near York, SC are hiring for Assistant Insurance Data Analytics jobs?

Cities near York, SC with the most Assistant Insurance Data Analytics job openings:

Assistant Insurance Data Analytics jobs near you

DQ Lab Data Quality Engineer

Tata Consultancy Service Limited

Charlotte, NC • On-site

$75K - $135K/yr

Full-time

Posted 17 days ago

Key responsibilities

  • Implement, configure, and maintain the DQLabs Data Quality platform and related data observability capabilities.

  • Profile source systems, identify Critical Data Elements (CDEs), and develop data quality rules for various data quality dimensions.

  • Build dashboards, scorecards, and executive reports to monitor data quality and support remediation and continuous improvement efforts.

Job description

Must Have Technical/Functional Skills
  • Experienced Data Quality Engineer/Lead to design, implement, and operationalize enterprise-wide Data Quality capabilities leveraging DQLabs and modern cloud data platforms. The candidate will drive data profiling, DQ rule implementation, data observability, stewardship workflows, metadata management, and executive reporting to improve trust, compliance, and business decision-making. The role will partner closely with business stakeholders, data stewards, architects, and engineering teams across multiple insurance data domains.
  • Implement and administer DQLabs Data Quality platform and related data observability capabilities.
  • Profile source systems and identify Critical Data Elements (CDEs).
  • Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
  • Develop metadata-driven Data Quality frameworks and scorecards.
  • Build DQ dashboards and executive reporting for business and technology stakeholders.
  • Analyze data quality issues and drive remediation with business and application teams.
  • Establish Data Quality SLAs, thresholds, ownership, and governance processes.
  • Integrate DQ monitoring with Data Governance and Metadata Management platforms.
  • Support audit, compliance, regulatory, and reporting requirements.
  • Create quality trend reports, root cause analyses, and continuous improvement plans.
  • Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.
  • Data Stewardship & Governance Enablement
  • Good to have Insurance Brokerage domain experience as needs to collaborate with Business
  • Data Stewards and Data Owners to govern data quality processes.
  • Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows.

Roles & Responsibilities
  • Implement and administer DQLabs Data Quality platform and related data observability capabilities.
  • Profile source systems and identify Critical Data Elements (CDEs).
  • Define, configure, and maintain data quality rules for Completeness, Accuracy, Consistency, Validity, Timeliness, and Uniqueness.
  • Develop metadata-driven Data Quality frameworks and scorecards.
  • Build DQ dashboards and executive reporting for business and technology stakeholders.
  • Analyze data quality issues and drive remediation with business and application teams.
  • Establish Data Quality SLAs, thresholds, ownership, and governance processes.
  • Integrate DQ monitoring with Data Governance and Metadata Management platforms.
  • Support audit, compliance, regulatory, and reporting requirements.
  • Create quality trend reports, root cause analyses, and continuous improvement plans.
  • Collaborate with Data Stewards, Data Owners, Architects, and Analysts to improve enterprise data quality.

Data Quality & Governance
  • 7+ years of Data Quality, Data Governance, or Data Management experience.
  • Strong understanding of CDEs, Business Glossary, Data Lineage, Metadata Management, and Data Stewardship.
  • Experience implementing enterprise Data Quality programs.
  • Knowledge of Data Quality dimensions and measurement frameworks.
  • DQLabs / DQ Tools / Collibra / Informatica
  • Hands-on experience in DQLabs Insurance Brokerage experience is nice to have

Data Stewardship & Governance Enablement
  • Good to have Insurance Brokerage domain experience as needs to collaborate with Business Data Stewards and Data Owners to govern data quality processes.
  • Define stewardship responsibilities, escalation paths, ownership models, and issue resolution workflows.

Salary: $75,000 - $135,000

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