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Mid Level Azure Data Analyst Jobs (NOW HIRING)

Mid-Senior Data Engineer

Phoenix, AZ · Hybrid

$100K - $115K/yr

Job Title: Data Engineer (Mid-Level to Senior) Location: Hybrid / Onsite as needed (project ... Exposure to analytics or data science tools (Databricks, Azure ML, etc.). * Understanding of data ...

Mid- Level Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Vantage Data Centers is seeking a Mid-Level Data Engineer to help build, operate, and scale our ... Work with Azure (dedicated or serverless where applicable) to support analytical workloads and data ...

Mid-Level Data Analyst

Newark, NJ · On-site

$65K - $85K/yr

Mid-Level Data Analyst Collections Analytics & Data Management Newark, NJ or Jacksonville, FL Full-Time | On-Site About National Recovery Associates National Recovery Associates (NRA) is a nationally ...

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

You will partner closely with data architects, analytics engineers, data scientists, business ... mentoring mid-level engineers, and shaping engineering standards across the team. Key ...

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

You will partner closely with data architects, analytics engineers, data scientists, business ... mentoring mid-level engineers, and shaping engineering standards across the team. Key ...

A3 Technology, Inc. is seeking a mid-level Data Analyst to join our team in Washington, DC. Essential Job Functions: * Collect and analyze data to evaluate operational difficulties and make ...

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Mid Level Azure Data Analyst information

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$34K

$82.6K

$136K

How much do mid level azure data analyst jobs pay per year?

As of Jul 21, 2026, the average yearly pay for mid level azure data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Mid Level Azure Data Analyst jobs? Cities with the most Mid Level Azure Data Analyst job openings:
What are the most commonly searched types of Azure Data Analyst jobs? The most popular types of Azure Data Analyst jobs are:
What states have the most Mid Level Azure Data Analyst jobs? States with the most job openings for Mid Level Azure Data Analyst jobs include:
Infographic showing various Mid Level Azure Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Mid-Level Data Analyst

Mid-Level Data Analyst

Expert Technology Services

Tempe, AZ • On-site

Contractor

Posted 14 days ago


Job description

Job Summary – Mid-Level Data Analyst (Tempe, AZ)
- Perform detailed data analysis to identify anomalies, inconsistencies, and data quality issues in source systems.
- Support data profiling, analysis, and transformation activities across legacy and target systems, including handling data in relational, NoSQL, and object storage environments.
- Develop and maintain two-way data mappings (source-to-target and target-to-source) to ensure data completeness, traceability, and alignment with business requirements.
- Maintain a strong understanding of target data models, database structures, and data usage patterns to support accurate data transformation and validation.
- Contribute to the design, architecture, and management of data lake and data warehouse solutions for structured, performant, and accessible data.
- Collaborate with Business Analysts, Technical Architects, and development teams to translate business rules into data mappings and transformation logic.
- Identify data quality issues and gaps, support data cleansing decisions, and ensure alignment with approved data mapping and transformation guidelines.
- Perform and support data validation and reconciliation activities to confirm data accuracy, completeness, and usability throughout data pipelines and migration processes.
- Document data flows, schemas, mappings, and transformation logic to ensure traceability, auditability, and governance compliance.
- Participate in the continuous improvement of data platform architecture, tooling, and data migration strategies in accordance with organizational standards and best practices.
Required Skills:
- 3+ years of experience in data analysis, development, or related roles involving data integration or migration.
- Experience with data mapping, transformation, and validation in migration/integration contexts.
- Solid understanding of database design principles: relational modeling, normalization, and denormalization.
- Proficiency in SQL, especially with Azure SQL Database, Azure SQL Managed Instance, or similar platforms.
- Ability to move and transform data across structured, semi-structured, and unstructured formats.
Nice to Have:
- Experience with MS SQL Server, Azure Cosmos DB, or other NoSQL databases.
- Knowledge of Kusto Query Language (KQL), Azure Monitor, and/or Azure Data Explorer.
- Experience with object storage patterns, such as blob or file-based architectures.
- Familiarity with data lakes and warehouses (e.g., Azure Data Lake Storage, Microsoft Fabric).
- Exposure to data science or advanced analytics platforms (Azure Machine Learning, Databricks, etc.).
- Understanding of data governance, lineage, cataloging, and metadata management.