Job Title: Data Analyst I
Company: Syneos Health
Location: Hyderabad, India (Hybrid)
Job Type: Full-Time
Experience Required: 2–4 Years of Experience in Data Analysis, Data Engineering, or ETL Development
About Syneos Health
Syneos Health is a globally recognized biopharmaceutical solutions organization that integrates clinical development, medical affairs, and commercial capabilities to accelerate the delivery of innovative therapies. The company collaborates with pharmaceutical and biotechnology organizations worldwide to transform scientific insights into meaningful healthcare outcomes.
With a workforce of more than 29,000 professionals across 110 countries, Syneos Health plays a critical role in global drug development. Over the past five years, the organization has supported 94% of all novel FDA-approved drugs and 95% of EMA-authorized products, demonstrating its strong influence in the clinical and healthcare ecosystem.
Role Overview
The Data Analyst I will support business-critical data integration, analytics, and operational processes within the organization. This role involves developing data pipelines, analyzing large datasets, and ensuring the integrity, reliability, and availability of enterprise data systems.
The position requires expertise in modern data engineering technologies, particularly Azure-based data platforms, and close collaboration with technical and business stakeholders to maintain efficient data workflows and analytics solutions.
Key Responsibilities
Data Extraction and Transformation
Develop and optimize complex SQL queries, including joins and Common Table Expressions (CTEs), to extract and transform data from multiple sources.
Support data integration and transformation activities within enterprise data pipelines.
Data Pipeline Monitoring and Optimization
Ensure business logic and data quality validation checks are properly implemented within Azure Data Factory and Azure Databricks pipelines.
Monitor system performance and ensure timely delivery of data within defined service-level agreements (SLAs).
Data Quality and Troubleshooting
Identify and resolve data-related issues through detailed root cause analysis.
Implement corrective actions to maintain data integrity and system reliability.
Cross-Functional Collaboration
Collaborate with technical teams and business stakeholders to support operational reporting and analytical requirements.
Communicate effectively across departments to align data objectives and ensure successful project execution.
Client Engagement and Reporting
Participate in client engagements and support the presentation of analytical insights and findings.
Translate complex technical outputs into clear and actionable business insights.
Documentation and Process Management
Maintain comprehensive documentation for data pipelines, processes, and system workflows.
Ensure knowledge continuity and clarity across teams through structured documentation practices.
Release and Deployment Support
Work with Azure DevOps for CI/CD processes and understand release management workflows from development to operations.
Assist with deployment activities and system updates.
Third-Party Data Integration
Support integration of enterprise data systems with third-party platforms such as Veeva CRM and Salesforce.
Operational Support
Provide operational support during designated shift hours aligned with EST business requirements.
Educational Qualifications
Bachelor’s Degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
Experience Requirements
2–4 years of professional experience in data analysis, data engineering, or ETL development.
Experience working with modern data platforms and enterprise data integration environments.
Certifications
Azure Data Engineer Associate (DP-203) certification is required.
Databricks certifications are highly desirable.
Technical Skills
Primary Technical Skills
Azure Data Factory
Azure Databricks
Azure Logic Apps
Azure Data Lake Storage Gen2 (ADLS)
SQL
Python / PySpark
Secondary Technical Skills
Unity Catalog
Lakehouse Architecture
Additional Tools (Nice to Have)
Salesforce
JIRA
Azure Key Vault
Azure Automation Account
Core Competencies
Strong analytical and problem-solving skills.
Excellent organizational skills with strong attention to detail.
Ability to manage multiple priorities and work both independently and collaboratively.
Effective communication and teamwork capabilities.
Additional Information
This role requires strong technical expertise in modern data engineering platforms along with the ability to support operational data processes in a fast-paced enterprise environment.
Equal Opportunity Employer
Syneos Health is committed to building a diverse and inclusive workplace. The organization provides equal employment opportunities to all qualified candidates regardless of race, gender, religion, disability, nationality, or other protected characteristics and supports reasonable accommodations for individuals with disabilities.
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