Negotiable
Outside
Remote
USA
Summary: The Senior Data Analyst role requires a professional with over 12 years of experience, including 3-5 years in the insurance domain. The position focuses on analyzing data processes, creating mapping documents, and ensuring data integrity within the healthcare payor sector. Proficiency in tools like Snowflake, Matillion, and DataStage is essential for effective data processing and integration. The role also involves mentoring junior analysts and staying updated with industry trends.
Key Responsibilities:
- Analyze existing DataStage jobs and create target mapping documents in the healthcare payor domain.
- Utilize Snowflake, Matillion, and DataStage for data processing and integration tasks.
- Prepare technical impact analysis or design work based on requirements 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.
Key Skills:
- 12+ years of experience as Technical Data Sr. Analyst with 3-5 years in the 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 in SQL/data analysis and ensuring data integrity, security, and quality.
- Ability to prepare technical impact analysis or design work based on requirements and business SMEs input.
- Strong understanding of HIPAA compliance requirements for healthcare data security and privacy.
- Strong analytical, documentation, and communication skills.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
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.