Senior Data Analyst - Remote / Telecommute

Overview

Remote
$60 - $60
Contract - W2
Contract - 1 month(s)
No Travel Required

Skills

Snowflake
Data Integration
Data Analysis
DATA MAPPING
Matillion

Job Details

Job Description:

Required Skills:
  • Overall, 12+ years of experience as Technical Data Sr. Analyst with least 3-5 years of experience working in insurance domain.
  • Excellent understanding and creation of mapping sheets for data integration pipelines.
  • Proficiency in Snowflake, Matillion, and DataStage for data processing and integration.
  • 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.
  • Ability to prepare technical impact analysis or design work based on requirement and business SMEs input
  • Strong understanding of HIPAA compliance requirements for healthcare data security, privacy, and regulatory standards.
  • Strong analytical, documentation, and communication skills.
Responsibilities:
  • As a Technical Data Sr. Analyst, he/she will analyze existing DataStage jobs, work with business SME to create target mapping document as per standard guidelines within healthcare payor domain.
  • Utilize Snowflake, Matillion, and DataStage for efficient data processing and integration tasks.
  • Prepare technical impact analysis or design work based on requirement and business SMEs input
  • Review and validate mapping sheets to align with project requirements and specifications.
  • Analyze data to extract insights and support decision-making processes.
  • Document data analysis, and transformation processes.
  • Collaborate with Data Architects/Data Leads to support the design and implementation of data integration pipelines.
  • Build and execute ELT processes for transforming and loading data into target systems.
  • Assist in troubleshooting data related issues and ensuring data quality.
  • Mentor junior analysts and provide guidance on technical aspects of data analysis.
  • Stay updated with emerging technologies and industry trends in data analytics and healthcare informatics.
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