Sr. Data Analyst
We are seeking a talented and motivated Sr. Data Analyst to join our dynamic team. This role offers the opportunity to work on impactful projects while utilizing your expertise in data engineering and analytics.
Responsibilities
• Develop and maintain data workflows to ensure data quality and optimize processes.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Create and manage ETL pipelines using Azure Data Factory and Snowflake.
• Analyze and troubleshoot data issues, providing solutions to enhance data integrity.
• Document processes and maintain clear communication with stakeholders throughout project lifecycles.
• Support the development of automated data extracts and monitor their performance.
Skills
• 5+ years of experience in data engineering with a focus on data warehousing.
• Proficiency in creating pipelines using Azure Data Factory.
• Strong background in developing ETL processes with tools like Informatica PowerCenter or SSIS.
• Experience with relational databases such as Oracle, Snowflake, or SQL Server.
• Ability to analyze project requirements and develop detailed specifications for ETL needs.
• Excellent problem-solving skills and attention to detail.
Preferred Skills
• Experience with Python scripting and batch or PowerShell scripting.
• Familiarity with data modeling in a data warehouse environment.
• Knowledge of HL7 and FHIR standards.
• Azure certifications related to data engineering or analytics.
• Experience in designing and building APIs in Snowflake and ADF.
We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals feel valued and empowered to contribute their unique perspectives.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
We are seeking a talented and motivated Sr. Data Analyst to join our dynamic team. This role offers the opportunity to work on impactful projects while utilizing your expertise in data engineering and analytics.
Responsibilities
• Develop and maintain data workflows to ensure data quality and optimize processes.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
• Create and manage ETL pipelines using Azure Data Factory and Snowflake.
• Analyze and troubleshoot data issues, providing solutions to enhance data integrity.
• Document processes and maintain clear communication with stakeholders throughout project lifecycles.
• Support the development of automated data extracts and monitor their performance.
Skills
• 5+ years of experience in data engineering with a focus on data warehousing.
• Proficiency in creating pipelines using Azure Data Factory.
• Strong background in developing ETL processes with tools like Informatica PowerCenter or SSIS.
• Experience with relational databases such as Oracle, Snowflake, or SQL Server.
• Ability to analyze project requirements and develop detailed specifications for ETL needs.
• Excellent problem-solving skills and attention to detail.
Preferred Skills
• Experience with Python scripting and batch or PowerShell scripting.
• Familiarity with data modeling in a data warehouse environment.
• Knowledge of HL7 and FHIR standards.
• Azure certifications related to data engineering or analytics.
• Experience in designing and building APIs in Snowflake and ADF.
We are committed to fostering a diverse, equitable, and inclusive workplace where all individuals feel valued and empowered to contribute their unique perspectives.
Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.
