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Syneos Health

Global provider of integrated clinical-to-commercial services

Data Analyst 1

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedHybrid

About the Job

Requirements

  • Develop and optimize complex SQL queries, including joins and Common Table Expressions (CTEs), for data extraction and transformation.
  • Lead client engagements and present complex findings.
  • Work independently without close supervision and collaboratively across teams.
  • Demonstrate strong organizational and analytical skills with attention to detail.
  • Ensure business logic and data quality checks are implemented and functioning correctly within Azure Data Factory and Databricks pipelines.
  • Troubleshoot and resolve data-related issues through root cause analysis and corrective actions.
  • Ensure timely data delivery by tracking system performance and proactively addressing issues within defined service-level agreements.
  • Collaborate with technical and business stakeholders to support operational and analytical data needs.
  • Maintain documentation to ensure continuity and clarity across the team.
  • Work closely with Azure DevOps for continuous integration and continuous delivery, understand release processes and Dev-to-Ops handover, and have release management experience.
  • Understand data integrations with third-party platforms such as Veeva CRM and Salesforce.
  • Provide support during business-required shift hours in Eastern Standard Time zones.
  • Communicate effectively within and across departments to align on objectives and tasks.

Responsibilities

  • Develop and optimize complex SQL queries, including joins and Common Table Expressions, for data extraction and transformation.
  • Implement and ensure the correct functioning of business logic and data quality checks in Azure Data Factory and Databricks pipelines.
  • Troubleshoot data-related issues by conducting root cause analysis and implementing corrective actions.
  • Track system performance and proactively address issues within defined service-level agreements to ensure timely data delivery.
  • Collaborate with technical and business stakeholders to support operational and analytical data needs.
  • Maintain documentation for team continuity and clarity.
  • Support Azure DevOps continuous integration and continuous delivery, release processes and Dev-to-Ops handover, and release management.
  • Support data integrations with third-party platforms such as Veeva CRM and Salesforce.
  • Provide support during business-required shift hours in Eastern Standard Time zones.

Desired Qualifications

  • A bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Two to four years of professional experience in data analysis, data engineering, or extract, transform, and load processes.
  • Azure Data Engineer Associate (DP-203) certification.
  • Databricks certifications.
  • Experience with root cause analysis and troubleshooting in production environments.
  • Azure Data Factory.
  • Azure Databricks.
  • Azure Logic Apps.
  • Azure Data Lake Storage Gen2.
  • SQL.
  • Python and PySpark.
  • Unity Catalog.
  • Lakehouse architecture.
  • Salesforce.
  • JIRA.
  • Azure Key Vault.
  • Azure Automation Account.
  • Strong communication, collaboration, and teamwork skills.

About the Company

Syneos Health

Global provider of integrated clinical-to-commercial services

Syneos Health provides end-to-end biopharmaceutical solutions across the clinical-to-commercial spectrum. It helps biopharma companies, healthcare organizations, and investors by offering specialized expertise, insights, and technology-enabled services to move therapies faster to patients. Its offerings include Kinetic, a modern omnichannel customer engagement platform that uses targeting and analytics to coordinate nationwide healthcare communications, and Syneos One, an asset development approach that aligns strategy and execution from early concept through commercialization. The company uses AI and advanced tech to improve performance and reduce risk in drug development and market delivery. Its goal is to be a trusted partner that accelerates therapy development and delivery by combining scientific know-how with integrated, data-driven services.

Company size
10,001+
Company stage
IPO
Headquarters
Morrisville, NC
Founded
1985

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