Senior Technical Data Analyst

4 weeks ago


Canada, CA HCLTech Full time

Required Skills

  • Overall 10+ years experience as Sr Technical Data Analyst with least 3-5 years experience working in the healthcare payor domain.
  • Familiarity with DataStage jobs and data integration processes.
  • Ability to work with Data Architects and Leads to support the design and implementation of data processes.
  • Deep expertise SQL/data analysis and ensuring data integrity, data security and data quality.
  • Strong understanding of HIPAA compliance requirements for healthcare data security, privacy, and regulatory standards.
  • Strong analytical, documentation, and communication skills.
  • Proficiency in DataStage and Matillion for data processing and integration.
  • Skills in data warehousing principles and data modeling techniques.
  • Experience in data analysis, data mapping, and data transformation techniques

ETL Developer, Data Engineer with strong DBT ETL tools experience, Azure Cloud experience, Matillion, Data modelling in Snowflake.


  • As a Sr Technical Data Analyst, you will analyze existing DataStage jobs, work with AI Force tools team to generate mapping and create target mapping document as per standard guidelines within healthcare payor domain.
  • Review and validate mapping sheets to align with project requirements and specifications.
  • Ensure all data processes comply with HIPAA and healthcare data privacy regulations.
  • Collaborate with Data Architects/Data Leads to support the design and implementation of data integration pipelines.
  • Assist in troubleshooting data related issues and ensuring data quality.
  • Utilize DataStage and Matillion for efficient data processing and integration tasks.
  • Execute ETL processes for transforming and loading data into target systems.
  • Collaborate with cross-functional teams to define data requirements and mappings.
  • Design and implement data warehousing solutions to support reporting and analytics.
  • Analyze data to extract insights and support decision-making processes.
  • Document data analysis, mapping, and transformation processes for future reference.
  • Mentor junior analysts and provide guidance on technical aspects of data analysis.

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