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Data Warehouse Analyst Jobs in California (NOW HIRING)

Info Way Solutions

DataWarehouse Analyst

Fremont, CA · On-site

Info Way Solutions is seeking a Data Warehouse Reporting Analyst Sr. who will collaborate with the Information Technology Services and Data Warehouse teams to develop and support organization-wide ...

Info Way Solutions

DataWarehouse Analyst

Fremont, CA · On-site

Info Way Solutions is seeking a Data Warehouse Reporting Analyst Sr. to collaborate with the Information Technology Services and Data Warehouse teams. The role involves developing and supporting ...

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All JobsData Warehouse Analyst JobsData Warehouse Analyst Jobs in California

Data Warehouse Analyst information

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$18

$48

$73

How much do data warehouse analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data warehouse analyst in California is $48.35, according to ZipRecruiter salary data. Most workers in this role earn between $40.34 and $56.92 per hour, depending on experience, location, and employer.

What is a data warehouse analyst?

Data Warehouse Analysts are professionals who design, implement, and manage data warehouse systems to help organizations store, retrieve, and analyze large volumes of data. They work with various data sources, ensure data integrity, and create reports or dashboards for business decision-making. Their role involves collaborating with IT teams, business analysts, and stakeholders to understand data requirements and translate them into technical solutions. They also optimize data processes and ensure the data warehouse operates efficiently and securely.

What does a data warehouse analyst do?

Data warehouse analysts gather and process information stored in the company database. Their job duties include designing and managing the database, troubleshooting issues as they arise. As a data warehouse analyst, you research and evaluate data to make recommendations to management about ways to improve data storage, reporting, and other business issues. A senior-level analyst may manage a team and be responsible for the integrity of data extraction and ensuring company information is secure.

What are the key skills and qualifications needed to thrive as a data warehouse analyst, and why are they important?

To thrive as a Data Warehouse Analyst, you need expertise in data modeling, SQL, ETL processes, and a background in computer science, information systems, or a related field. Familiarity with data warehousing tools like Microsoft SQL Server, Oracle, Informatica, or cloud platforms, as well as certifications such as Certified Data Management Professional (CDMP), is often required. Analytical thinking, problem-solving, and strong communication skills help analysts interpret complex data and convey actionable insights to stakeholders. These competencies ensure accurate data integration, efficient reporting, and support data-driven decision-making within organizations.

What are some common challenges data warehouse analysts face when integrating data from multiple sources?

Data Warehouse Analysts often encounter challenges such as inconsistent data formats, varying data quality, and discrepancies in source system structures when integrating data from multiple sources. Addressing these issues requires strong data profiling skills and close collaboration with data owners and IT teams to establish data cleansing and transformation processes. Additionally, ensuring data integrity and managing large volumes of information can be demanding, but leveraging ETL tools and robust documentation practices can help streamline the process and maintain data accuracy.

What is the difference between Data Warehouse Analyst vs Data Analyst?

AspectData Warehouse AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related; certifications like CDMP or DAMA often preferredBachelor's in Statistics, Mathematics, or related; certifications like Microsoft Data Analyst Associate common
Work EnvironmentFocus on database management, ETL processes, and data warehousing toolsFocus on data visualization, reporting, and data interpretation
Employer & Industry UsageUsed in organizations with large data infrastructure, BI teams, and data engineeringUsed across various industries for business insights, marketing, finance, and operations

The Data Warehouse Analyst specializes in managing and optimizing data storage systems, ensuring data quality, and supporting business intelligence infrastructure. In contrast, the Data Analyst focuses on analyzing data to generate reports and insights for decision-making. While both roles require strong analytical skills, the Data Warehouse Analyst emphasizes data architecture and ETL processes, whereas the Data Analyst emphasizes data interpretation and visualization.

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Data Warehouse Analyst jobs near you
Infographic showing various Data Warehouse Analyst job openings in California 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 $100,563 per year, or $48.3 per hour.

Data Warehouse Programmer/Analyst Needed!

Orange, CA • On-site

HealthCare Talent
Health Care and Social Assistance • 501 - 1,000 employees
Learn more about HealthCare Talentexternal

Full-time

Re-posted 26 days ago

Job description

Company Description

The Data Warehouse (DW) Programmer/Analyst works in conjunction with the Data Warehouse team to develop and support organization-wide reporting, ETL, data warehouse, and data analysis technologies. The DW Programmer/Analyst shall participate in gathering and documenting requirements, designing and building reporting solutions for internal departments. This position will participate in the design and development of data warehouse and reporting infrastructure using SQL Server technologies. The DW Programmer/Analyst shall have a significant role in hands on development as well as high level design of these initiatives.

Job Description
  • Demonstrate advanced techniques for reviewing and trouble-shooting complex code designs written by multiple developers, reverse engineering, identifying incompatibilities and providing alternatives for improved design and performance.
  • Knowledge of server software operation, maintenance and extension (using various programming tools) and demonstrated ability to apply this knowledge to multiple server platforms.
  • Ability to take direction, accept criticism constructively and to be diplomatic when reviewing work of others.
  • Ability to solve problems and work on multiple projects in a fast-paced, deadline-drive environment.
  • Build consensus and work effectively within a cross-departmental team.
  • Listen to customers (e.g. staff, etc.) to understand and respond positively to their requests.
  • Communicate effectively, both verbally and in writing, with all levels of staff and outside vendors.
  • Have exceptional initiative and follow-through on projects with minimal supervision and guidance.
  • Ability to initiate and maintain cooperative relationships with co-workers, managers and supervisors, customers/clients, and members of the public.
Qualifications

Experience & Education

  • 3-5 years general relational database and reporting development experience.
  • 3+ years experience with BI/data warehousing analysis and development including database design, ETL and reporting.
  • 3+ years experience using Microsoft SQL Server stored procedures and SSIS/DTS packages and using reporting tools such as Crystal Reports and/or Microsoft SQL Server Reporting Services.
  • 2+ years experience using Business Intelligence tools (MicroStrategy preferred).
  • Bachelor's degree in a related field.
  • Experience using modeling techniques as a tool for application design and development.

Knowledge of:

  • Advanced knowledge of SQL Server development including database design and stored procedures.
  • Advanced knowledge of SSIS/DTS package design and development.
  • Advanced knowledge of Crystal Reports and/or Microsoft Reporting Services including report design and development.
  • Advanced knowledge of Microsoft OLAP tools and analysis constructs.
  • Thorough understanding of Software Development Life Cycle Methodology.
  • Knowledge of Microsoft Office Suite, Access and Project.
Additional Information

If you feel that you have the skills we require, please respond to this posting with your contact information and your resume in a Word document. We look forward to hearing from you today!  

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