Senior data analyst

Job Description : We are looking for a highly skilled Data Analyst with a strong background in designing, building, and maintaining scalable data pipelines and business intelligence solutions. The ideal candidate should have a solid mix of hands-on experience in Azure cloud services , SQL development , data integration , and reporting tools to support data-driven decision-making across the organization.

Role - Data Analyst

Exp - 7-10 years

Mandate skills - Azure Data Factory, Databricks, Power Shell, Power Automate, SQL Server, and Power BI

Design, develop, and manage end-to-end data pipelines using Azure Data Factory (ADF) for efficient ETL / ELT processes.

Develop, deploy, and monitor scalable data solutions using Azure Synapse Analytics or Databricks to support large-scale data processing and analytics.

Write optimized SQL Server scripts, stored procedures, and views to support data transformation and integration requirements.

Build and maintain insightful dashboards and reports using Power BI , with a focus on usability, performance, and clear data communication.

Develop automation scripts using Power Shell for operational and monitoring tasks across Azure services.

Create automated workflows using Power Automate to streamline manual tasks and notifications.

Leverage Python or Py Spark for data manipulation, transformation, and orchestration within Synapse or Databricks environments.

Collaborate with business stakeholders, data analysts, and application developers to gather requirements and deliver high-quality solutions.

Perform root cause analysis, data validation, and ensure data integrity across systems and processes.

Participate in code reviews, design discussions, and documentation efforts to ensure best practices and knowledge sharing.

Ensure security, compliance, and governance in all data engineering activities.

Required Skills and Qualifications :

8+ years of experience in data engineering, data analytics, or business intelligence roles.

Strong proficiency in Azure Data Factory , SQL Server , and Power BI .

2+ years of hands-on experience with Azure Synapse Analytics or Databricks and Python for data transformation and analysis.

Experience with Power Shell scripting for automation and Power Automate for workflow integration.

Strong understanding of data warehousing concepts, data modelling, and performance tuning.

Excellent analytical and problem-solving abilities.

Strong communication skills and ability to effectively engage with both technical and non-technical stakeholders.

Preferred Qualifications (Nice to Have) :

Experience with Azure Data Lake Storage (ADLS) and Delta Lake .

Knowledge of Dev Ops , CI / CD pipelines , and version control systems (e.g., Git).

Familiarity with data governance , security best practices , and compliance standards (e.g., GDPR, HIPAA).

Exposure to Agile methodologies and working in cross-functional teams.