Data Analyst I

Syneos Health

. Develop and optimize complex SQL queries, including joins and Common Table Expressions (CTEs), for data extraction and transformation .

Posted 11/6/2026full-timeHyderabad • IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL query development and optimization, data engineering, and ETL processes, with a strong focus on Azure Data Factory and Databricks. Proven ability to lead client engagements and ensure data quality through effective troubleshooting and collaboration.

Highest-signal resume keywords

SQL Query DevelopmentAzure Data Engineer Associate CertificationData EngineeringAzure DevOps CI/CDRoot Cause Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonPySparkData AnalysisETL ProcessesData Quality ChecksRoot Cause AnalysisData IntegrationCommon Table ExpressionsData Transformation

Soft Skills

Strong CommunicationCollaborationTeamworkOrganizational SkillsAttention to Detail

Tools & Technologies

Azure Data FactoryAzure DatabricksAzure Logic AppsAzure Data Lake Gen2Veeva CRMSalesforce

Certifications & Qualifications

Azure Data Engineer Associate (DP-203)Databricks Certifications

Industry Keywords

Data EngineeringETLData IntegrationClient EngagementsLakehouse Architecture

Tech Stack

Tools & technologies

AzureETLPySparkPythonSQLUnity

About the role

Key responsibilities & impact

Develop and optimize complex SQL queries, including joins and Common Table Expressions (CTEs), for data extraction and transformation
Ensure business logic and data quality checks are implemented and functioning correctly within ADF and Databricks pipelines
Troubleshoot and resolve data-related issues through detailed root cause analysis and corrective actions
Ensure timely data delivery by tracking system performance and proactively addressing issues within defined SLAs
Collaborate with technical and business stakeholders to support operational and analytical data needs
Maintain strong documentation practices for team continuity and clarity
Work closely with Azure DevOps for CI/CD, Dev-to-Ops handover, and release management
Support data integrations with third-party platforms such as Veeva CRM and Salesforce
Provide support during shift hours according to business requirements in EST time zones
Communicate effectively within and across departments to align objectives and tasks
Lead client engagements and present complex findings

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, IT, or a related field (preferred)
2–4 years of professional experience in data analysis, data engineering, or ETL processes
Must hold an Azure Data Engineer Associate (DP-203) certification
Databricks certifications are highly desirable
Experience with root cause analysis and troubleshooting in production environments
Strong communication, collaboration, and teamwork skills
Proven ability to lead client engagements and present complex findings
Ability to work independently without close supervision and collaboratively across teams
Extremely strong organizational and analytical skills with strong attention to detail
Experience with Azure Data Factory, Azure Databricks, Azure Logic Apps, Azure Data Lake Gen2 (ADLS), SQL, and Python/PySpark
Knowledge of Unity Catalog and Lakehouse Architecture
Experience with Azure DevOps CI/CD, release processes, and release management
Understanding of data integrations with third-party platforms such as Veeva CRM and Salesforce
Ability to provide support during shift hours in EST time zones

Benefits

Comp & perks

Career development and progression
Supportive and engaged line management
Technical and therapeutic area training
Peer recognition and total rewards program
Inclusive culture
Reasonable accommodations, when appropriate, for employees or applicants with disabilities