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Professional Data Warehouse Analyst Jobs (NOW HIRING)

Inteliblue

Data Warehouse Analyst

Tallahassee, FL · On-site

Title: Data Warehouse Analyst Location: Tallahassee, FL Duration: Long Term Interview Type: In-person. Required Skills: * 7 Years experience in Data Warehousing and Data Integration. * 4 Years ...

MDAEdge

Data Warehouse Analyst

Tallahassee, FL · On-site

MDAEdge is a company specializing in data management solutions, and they are seeking a Data Warehouse Analyst to enhance their data warehousing capabilities. The role involves building and testing ...

Ubertal Inc

Data Warehouse Analyst

Tallahassee, FL · On-site

Data Warehouse Analyst Location: Tallahassee, FL Engagement Type: Contract / Staff Augmentation Work Mode: On-site (5 days/week) Duration: 10 Months (09/01/2026 - 06/30/2027) Interview Type: In ...

Overture Partners

Data Warehouse Analyst- Pipeline

We specialize in developing and maintaining state-of-the-art data warehouses that support data mining, analysis, and reporting. Our team values innovation, precision, and a collaborative approach to ...

Socket.dev

Sr. Data Warehouse Analyst

Schaumburg, IL · On-site

$110 - $150/hr

Description The Senior Data Warehouse Analyst will support the company's data warehouse and reporting environment by working with business users to understand data needs and help turn data into ...

Infojini Inc

Senior Data Warehouse Analyst

Olympia, WA · On-site

$92K - $116K/yr

Senior Data Warehouse Analyst Duration: Two (2 1/2) months Location:Tumwater/ olympia, WA Client: Washington Department of Transportation Scope of Work The Washington State Department of ...

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Professional Data Warehouse Analyst information

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$48

$74

How much do professional data warehouse analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for professional data warehouse analyst in the United States is $48.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $57.69 per hour, depending on experience, location, and employer.

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

AspectProfessional Data Warehouse AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related field; certifications like CDMP or DAMABachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Data Analyst Associate
Work EnvironmentFocus on data warehousing, ETL processes, and database management in enterprise settingsData exploration, visualization, and reporting across various industries
Employer & Industry UsageUsed mainly in large corporations, finance, healthcare, and retail sectorsWidely used across industries including marketing, finance, and tech

The Professional Data Warehouse Analyst specializes in designing, maintaining, and optimizing data warehouses, focusing on data integration and storage. In contrast, a Data Analyst primarily interprets data, creates reports, and supports decision-making. While both roles require strong analytical skills, the Professional Data Warehouse Analyst emphasizes data infrastructure, whereas the Data Analyst emphasizes data insights and visualization.

What cities are hiring for Professional Data Warehouse Analyst jobs?

Cities with the most Professional Data Warehouse Analyst job openings:

What are the most commonly searched types of Data Warehouse Analyst jobs?

The most popular types of Data Warehouse Analyst jobs are:

What states have the most Professional Data Warehouse Analyst jobs?

States with the most job openings for Professional Data Warehouse Analyst jobs include:

Professional Data Warehouse Analyst jobs near you
Infographic showing various Professional Data Warehouse 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 $101,897 per year, or $49 per hour.

Data Warehouse Analyst

Noblesoft Technologies

Secaucus, NJ • Remote

Contractor

Re-posted 7 days ago

Job description

Job Title: Senior Data Warehouse Analyst
Location: Secaucus, NJ(Remote)
Mandatory - GCP BigQuery, Data Lineage, BI & Analytics
Job Description / Key Responsibilities: 
The Senior Data Warehouse Analyst will be responsible for analyzing, designing, and documenting
end-to-end data warehouse solutions on Google Cloud Platform (GCP), with a strong focus on
BigQuery modernization, data lineage documentation, and business intelligence (BI) source
mapping. This role requires close collaboration with data engineers, business stakeholders, and
product owners to ensure analytical requirements are met through robust and scalable data
warehouse designs.
Key Responsibilities
- Analyze existing on-premise or cloud data warehouses and define migration paths to GCP
BigQuery.
- Develop detailed source-to-target mapping (STM) and data lineage documentation for ETL/ELT
processes and BI reports.
- Perform data validation and reconciliation across layers (staging, warehouse, semantic layer, BI).
- Partner with BI developers to ensure consistent data definitions and metrics alignment across
visualization tools.
- Support data quality monitoring, data profiling, and issue resolution to ensure trusted analytics.
- Provide domain knowledge to support business requirements gathering and solution
walkthroughs.
- Support UAT (User Acceptance Testing) and contribute to data governance activities.
- Create and review Source System Interface Agreements or Data Delivery Agreements to ensure
clarity in data ownership, frequency, and delivery standards.
Technical & Soft Skills Required
- Strong hands-on experience with Google BigQuery, SQL scripting, and data modeling
(Star/Snowflake schemas).
- Experience in data warehouse migration from on-premise systems (e.g., Teradata, Oracle,
Netezza, SQL Server) or other cloud platforms (Snowflake, Redshift) to GCP BigQuery.
- Solid understanding of data lineage, metadata management, and source-to-report traceability.
- Proven experience in requirement analysis, user story creation, and defining acceptance criteria in
Agile environments.
- Knowledge in any BI tools for data validation and lineage documentation.
- Strong SQL optimization and performance tuning capabilities.
- Familiarity with ETL/ELT frameworks (e.g., Dataflow, Dataform, dbt, Informatica, Talend,
Matillion).
- Good communication skills, interactions with end users on requirement validations.
- Agile work experience.