Senior Azure Data Analyst
Volt Information Sciences Inc
New York, United States of America
5 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
$ 108KJob location
New York, United States of America
Tech stack
Data analysis
Big Data
Cloud Storage
ETL
Data Warehousing
Database Development
Performance Tuning
Power BI
Azure
SQL Databases
Azure
Powerquery
Star Schema
Azure
Serverless Computing
Databricks
Job description
- Develop and maintain data pipelines using Azure Data Factory (ADF) or Synapse for ingesting, transforming, and loading data from multiple sources.
- Implement data orchestration, parameterized pipelines, and monitoring for reliability and performance.
- Design and optimize data models in Azure Synapse Analytics or Azure Databricks to support analytics and reporting.
- Work on star schema, data Lakehouse structures, and performance tuning for large datasets.
- Collaborate with data architects to maintain data governance and security standards.
- Develop interactive Power BI dashboards and reports that translate complex data into actionable insights.
- Build and manage Power BI datasets, measures (DAX), and row-level security (RLS).
- Work closely with business stakeholders to understand reporting needs and deliver user-friendly solutions.
- Monitor data workflows for performance and cost efficiency.
- Implement automation for recurring processes and ensure high data quality.
- Collaborate with cross-functional teams (Data Engineers, Analysts, Business Users).
- Maintain clear technical documentation for pipelines, models, and dashboards.
Requirements
- Bachelor's degree in IT or related field.
- 6-10 years of hands-on experience in data development and analytics.
- Microsoft Power BI (DAX, Power Query, data modeling, and visualization).
- Azure Synapse Analytics (SQL, dedicated SQL pools, serverless queries).
- Azure Data Factory (pipelines, linked services, dataflows).
- Solid understanding of SQL, data warehousing principles, and ETL concepts.
- Experience with Azure Data Lake, Azure Blob Storage, or similar cloud storage systems.
