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Azure Data Analyst Jobs in California (NOW HIRING)

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Fabric Analytics Engineer Associate • Microsoft Certified: Azure Solutions Architect Expert • Microsoft Certified: Power BI Data Analyst Associate • Microsoft Certified: Azure AI Engineer ...

Azure

San Francisco, CA

$64.75 - $80.50/hr

Qualifications 1. 2 year of hands on experience in doing development on one or more of the following technology ecosystem a) Microsoft Cortana Analytics Suite - Azure Data Lake, Azure Datawarehouse ...

Demonstrate working knowledge of Azure data services such as Azure Data Lake Storage, Synapse Analytics, Azure SQL, and networking/security fundamentals * Exposure to AWS data environments and multi ...

Data Solutions Engineer

Los Angeles, CA

$123K - $148K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

$180 - $240/hr

Fabric Analytics Engineer Associate * Microsoft Certified: Azure Data Engineer Associate * Microsoft Certified: DevOps Engineer Expert #J-18808-Ljbffr

Azure With ADL/ADW/ADF

San Francisco, CA · On-site

$64.75 - $80.50/hr

Microsoft Cortana Analytics Suite - Azure Data Lake, Azure Datawarehouse, Azure Data Factory, PowerBI, * Microsoft SQL Server Ecosystem - Multidimensional cubes, MDX, T-SQL * Hadoop Ecosystem - HDFS ...

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). This position is contingent on ...

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Azure Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do azure data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for azure data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

How much do Azure Data Analysts make?

Azure Data Analysts typically earn a median salary ranging from $70,000 to $100,000 annually, 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 can earn higher salaries.

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.

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 most commonly searched types of Azure Data Analyst jobs in California? The most popular types of Azure Data Analyst jobs in California are:
What job categories do people searching Azure Data Analyst jobs in California look for? The top searched job categories for Azure Data Analyst jobs in California are:
What cities in California are hiring for Azure Data Analyst jobs? Cities in California with the most Azure Data Analyst job openings:
Infographic showing various Azure Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

$117K - $140K/yr

Full-time

Re-posted 8 days ago


Job description

Job Title: (Azure Data Engineer) with Lakehouse Platform
Location: Downey, CA, 90242 :: Remote
Duration: 12 Months
Skills Required
Possess knowledge and technical expertise in standards and technologies to support complex business analysis, solution selection, systems design, and application integration - SQL and Relational Databases such as Oracle, SQL Server - Designing & developing SQL queries, stored procedures, views, debugging & tuning complex queries for optimal performance - UNIX shell scripts - Python - Azure Cloud - Azure Data Factory - Databricks - DataOps.
This classification must have a minimum of
seven (7) years of applying Enterprise Architecture principles.
At least five (5) years of that experience must be in a lead capacity. Q
5 years of experience in Azure Data Factory
5 years of experience in Databricks
5 years of experience in Managing Azure Resources
5 years of experience in automating Azure Data Resources using DataOps
5 years of experience in developing data models and data pipelines using Python
5 years of experience in Lakehouse Platform.
Education:
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.