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Azure Data Analyst Jobs in Massachusetts (NOW HIRING)

Azure Data Engineer

Shrewsbury, MA · On-site

$70 - $90/hr

Analyze, manipulate, and process large sets of structured and semi-structured data including health ... Azure data platform. * Apply data mining, data modeling, and statistical analysis techniques to ...

Azure Data Engineer

Wilmington, MA · On-site

$125K - $150K/yr

Azure Data Engineer Location: Wilmington, MA (Hybrid - 2 days onsite, remainder remote; must be ... Strong analytical mindset, attention to detail, and enthusiasm for learning enterprise-scale ...

Azure Data Architect

Worcester, MA · On-site

$60 - $68/hr

The Azure Data Architect plays a critical role in defining, governing, and evolving the enterprise ... Success requires strong end to end architectural thinking, the ability to analyze and design ...

Azure Data Architect

Worcester, MA · On-site

$60 - $68/hr

The Azure Data Architect plays a critical role in defining, governing, and evolving the enterprise ... Success requires strong end to end architectural thinking, the ability to analyze and design ...

Azure Data Architect - Snowflake

Boston, MA · On-site

$69.25 - $89/hr

Need a snowflake data architect with Azure Cloud Experience and Agentic AI, Senior Data Architect ... Collaborate with data engineers, analysts, and other stakeholders to gather requirements and ...

Azure Data Architect - Snowflake

Boston, MA · On-site

$69.25 - $89/hr

Need a snowflake data architect with Azure Cloud Experience and Agentic AI, Senior Data Architect ... analysts, and other stakeholders to gather requirements and translate them into technical ...

Senior Data Engineer with strong Azure

Woburn, MA · On-site

$115K - $157K/yr

Drive cost-efficient, low-latency analytics through partition-aligned Delta storage, columnstore ... Implement CI/CD pipelines for data platforms using Azure DevOps or GitHub. Establish automated ...

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Data Engineer

Wakefield, MA · On-site

$90K - $150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

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Azure Data Analyst information

See Massachusetts salary details

$37.1K

$90.3K

$148.5K

How much do azure data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for azure data analyst in Massachusetts is $90,253.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $105,900.00 per year, depending on experience, location, and employer.

What is an Azure Data Analyst?

An Azure Data Analyst is responsible for analyzing and interpreting data using Microsoft Azure's cloud-based services and tools. They work with Azure Synapse Analytics, Power BI, and Azure Data Factory to process, transform, and visualize data for business insights. Their role involves data modeling, reporting, and ensuring data accuracy to support decision-making. They often collaborate with data engineers and business stakeholders to optimize data solutions. This role requires expertise in SQL, data warehousing, and cloud-based analytics solutions.

What are the typical daily responsibilities of an Azure Data Analyst?

Azure Data Analysts typically spend their days gathering, cleaning, and analyzing data from various sources using Azure-based tools like Azure Data Factory, Azure Synapse Analytics, and Power BI. They collaborate closely with data engineers, business analysts, and other stakeholders to translate business requirements into actionable datasets and informative reports. Daily tasks may include designing data models, preparing dashboards, monitoring data quality, and automating data processes within the Azure environment. This role often requires balancing technical analysis with effective communication to ensure insights are meaningful and tailored to business needs.

What are the key skills and qualifications needed to thrive as an Azure Data Analyst?

To excel as an Azure Data Analyst, you should have a solid background in data analysis, database management, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with Microsoft Azure data services (such as Azure Synapse Analytics, Azure Data Lake, and Power BI), as well as certifications like Microsoft Certified: Azure Data Fundamentals, are highly valued. Strong problem-solving, attention to detail, and effective communication make candidates stand out in this role. These competencies are vital for transforming raw data into actionable insights and supporting business decision-making in cloud-driven environments.

How much do Azure Data Analysts make?

Azure Data Analysts typically earn a median annual salary ranging from $70,000 to $100,000, depending on experience, location, and certifications such as Microsoft Certified Data Analyst Associate. Entry-level positions may start lower, while experienced analysts with advanced skills and certifications can earn higher salaries.

What job categories do people searching Azure Data Analyst jobs in Massachusetts look for?

The top searched job categories for Azure Data Analyst jobs in Massachusetts are:

Infographic showing various Azure Data Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $90,253 per year, or $43.4 per hour.

Azure Data Engineer

Ventois Inc.

Shrewsbury, MA • On-site

$70 - $90/hr

Other

Posted 5 days ago


Job description

Responsibilities
  • Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within the Azure data platform.
  • Apply data mining, data modeling, and statistical analysis techniques to extract and analyze information from large datasets stored in Azure Data Lake Storage (ADLS) and Delta Lake across Bronze, Silver, and Gold layers.
  • Identify business problems and management objectives that can be addressed through data analysis; translate business requirements into analytical workflows and data solutions using Azure Data Factory and Azure Databricks.
  • Develop and maintain data models and analytical datasets to support reporting, business intelligence, and downstream data consumption; identify relationships, trends, and factors that could affect the results of analysis.
  • Apply feature selection and data profiling methods to identify patterns, anomalies, and data quality issues that may impact analytical outcomes; recommend data-driven improvements.
  • Clean, manipulate, and prepare raw data for analysis using ETL/ELT processes; implement data quality frameworks including validation rules, cleansing, and reconciliation techniques to ensure accuracy and consistency.
  • Write new functions and applications in Python (PySpark) and SQL to conduct data transformation, validation, and analysis of large-scale datasets; optimize code for performance and efficiency.
  • Test, validate, and reformulate data pipelines and datasets to ensure accurate and reliable data delivery; monitor, troubleshoot, and resolve data and performance issues using Azure monitoring tools.
  • Analyze data patterns and recommend data-driven solutions to key stakeholders; deliver oral and written presentations of data analysis findings to management and end users to support informed decision-making.
  • Support data governance, security, and compliance practices aligned with HIPAA requirements; prepare documentation for data processes and analytical workflows to support governance and audits.
  • Develop and manage workflow orchestration, scheduling, and automation for consistent and timely data delivery using Azure-based tools.
  • Implement version control and deployment processes using Azure DevOps and Git to support reproducible and reliable data workflows.
  • Integrate data from multiple sources including APIs, databases, and flat files into a unified, analytics-ready data platform.
  • Read technical articles, research publications, and conference papers to identify emerging analytic trends and technologies; continuously evaluate new tools and methodologies to improve data processing, analysis, and platform efficiency.
  • Collaborate with business stakeholders, analysts, and data scientists to gather requirements, advise on appropriate analytical techniques, and recommend data-driven solutions aligned with organizational objectives.
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