Lead Data Analyst

Remote • Posted 7 hours ago • Updated 7 hours ago
Contract W2
Contract Independent
Contract Corp To Corp
No Travel Required
Able to Sponsor
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Databricks
  • Microsoft Azure
  • Amazon Web Services
  • Data Governance
  • Data Analysis

Summary

Key Responsibilities

  • Analyse and manage large datasets related to insurance policies, claims, invoices, and operational data using Databricks and SQL

  • Work extensively with Databricks Lakehouse platform to process, transform, and analyse structured and semi-structured data

  • Develop and optimize Databricks notebooks, workflows, and data pipelines for analytics and reporting

  • Monitor and enforce data quality standards, KPIs, and metrics across critical business datasets

  • Act as a Data Steward, ensuring data governance, consistency, and integrity across the claims lifecycle

  • Perform root-cause analysis and investigate data inconsistencies across multiple data sources

  • Collaborate with data engineering teams to improve Databricks pipelines, Delta tables, and data models

  • Serve as a liaison between insurers, MGAs, product operations, and business stakeholders

  • Maintain documentation for data governance processes, data lineage, standards, and data dictionaries

  • Create data mapping documentation and support data modelling activities

  • Provide data insights, analytics, and reporting to business stakeholders


Required Skills

  • Strong hands-on experience with Databricks (must have) including Delta Lake, Databricks notebooks, and workflows

  • Experience working with large-scale data processing on Databricks Lakehouse architecture

  • Strong SQL skills for data analysis, validation, and transformation

  • Experience working with Spark / PySpark in Databricks environments

  • Strong understanding of data governance, data quality frameworks, and KPI monitoring

  • Experience with data modelling, data mapping, and data lineage documentation

  • Ability to analyse large datasets and identify data integrity issues

  • Experience working in cloud data environments (Azure, AWS, or Google Cloud Platform)

  • Excellent communication skills and ability to collaborate with cross-functional teams

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91118341
  • Position Id: 8912879
  • Posted 7 hours ago
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