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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 ...

Microsoft Fabric Architect

Santa Clara, CA · On-site

$74 - $96.50/hr

Support batch and real-time data processing with Azure Event Hub & Stream Analytics * Monitor production pipelines, troubleshoot issues, and optimize performance * Manage Lakehouse architecture ...

* Data Analyst / Engineer * Sunnyvale, California * Contract - 6 + Months We are looking for a hands ... in Azure, Spark, Hadoop, or Big Data technologies. * 📩 Share only thoroughly vetted candidates ...

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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 Jul 27, 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.

Is a data analyst still in demand?

Data analysts, including those specializing in Azure Data Analysis, are in high demand due to the increasing reliance on data-driven decision making across industries. Skills in SQL, data visualization, and cloud platforms like Azure enhance job prospects, and the role is expected to grow as organizations prioritize data management and analytics.

Is Azure in high demand?

Azure Data Analysts are in high demand due to the widespread adoption of cloud computing and data analytics across industries. Proficiency in Azure tools, data modeling, and certifications can improve job prospects as organizations seek professionals to manage and analyze cloud-based data environments.

Is 40 too late for data science?

For an Azure Data Analyst or similar data-related roles, starting a career at 40 is feasible as many employers value experience and skills over age. Success depends on acquiring relevant technical skills like SQL, Python, or cloud platforms, and building a strong portfolio or certifications such as Microsoft Certified Data Analyst Associate.

What is the salary of Azure data analyst?

The average salary for an Azure Data Analyst typically ranges from $70,000 to $110,000 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 in the Azure Data Analyst position, and why are they important?

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 job?

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 July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.
Azure Data Engineer

$117K - $140K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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.