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Senior Data Warehouse Analyst Jobs (NOW HIRING)

Infojini Inc

Senior Data Warehouse Analyst

Olympia, WA

$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 ...

Heart2Hire

Data Warehouse Analyst

Montville, CT · On-site

Data Warehouse AnalystIntroduction: We are seeking a skilled Data Warehouse Analyst to join our team in Uncasville, CT. The Data Warehouse Analyst will be responsible for analyzing, designing, and ...

Trilyon, Inc.

Data Warehouse Analyst

Tallahassee, FL · On-site

We are seeking a Data Warehouse Analyst to join our team. This role will involve gathering and analyzing business requirements, designing and managing enterprise data warehouse solutions, and ...

Telligentech

Sr. Data Warehouse analyst

Olympia, WA

Minimum 5 years of experience employing data warehouse principles and theories, including knowledge of the various tactical approaches to data warehouse development. Desirable Knowledge, Skills and ...

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 ...

Whiz Global LLC

Data Warehouse Analyst

New Milford, CT · On-site

- Data Warehouse Analyst (SQL, Informatica) Location: Uncasville, CT (Hybrid) Job Type: Full-Time (FTE) Experience: 2-10 Years Key Responsibilities * Gather business requirements and translate them ...

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 ...

Mohegan Sun

Data Warehouse Analyst

Uncasville, CT · On-site

Mohegan Sun is a premier entertainment destination, and they are seeking a Data Warehouse Analyst to work with end users to design and implement decision support assets. The role involves maintaining ...

US Bank

Data Warehouse Analyst

Washington, DC · On-site

$117K - $138K/yr

Bank is seeking an accomplished Data Warehouse Analyst with database analysis and design experience to contribute toward the success of our technology initiatives. Interprets and writes business and ...

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Senior Data Warehouse Analyst information

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$55K

$99.2K

$135.5K

How much do senior data warehouse analyst jobs pay per year?

As of Jul 25, 2026, the average yearly pay for senior data warehouse analyst in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What does a Senior Data Warehouse Analyst do?

A Senior Data Warehouse Analyst is responsible for designing, developing, and maintaining data warehouse systems that store and manage large volumes of organizational data. They analyze business requirements, create data models, and ensure data accuracy, integrity, and accessibility for reporting and analytics. Additionally, they work closely with business stakeholders to translate data needs into technical solutions, optimize data processes, and support decision-making through data-driven insights.

How does a Senior Data Warehouse Analyst typically collaborate with business stakeholders and IT teams?

A Senior Data Warehouse Analyst often serves as a bridge between business stakeholders and technical teams. They work closely with business users to understand reporting requirements and translate these into technical specifications for IT or data engineering teams. This collaboration ensures data models and ETL processes align with organizational goals. Regular meetings, requirement-gathering sessions, and ongoing feedback loops are common, making strong communication and project management skills essential for success in this role.

What are the key skills and qualifications needed to thrive as a Senior Data Warehouse Analyst, and why are they important?

To thrive as a Senior Data Warehouse Analyst, you need expertise in data modeling, ETL development, SQL, and a solid understanding of database management, typically backed by a bachelor’s degree in computer science or a related field. Familiarity with data warehousing tools like Informatica, Microsoft SQL Server, Oracle, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Strong analytical thinking, problem-solving, and communication skills set top performers apart in this role. These skills ensure the efficient design, implementation, and optimization of data systems that support business intelligence and decision-making.
What cities are hiring for Senior Data Warehouse Analyst jobs? Cities with the most Senior 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 Senior Data Warehouse Analyst jobs? States with the most job openings for Senior Data Warehouse Analyst jobs include:
Senior Data Warehouse Analyst jobs near you
Infographic showing various Senior Data Warehouse Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.
Data Warehouse Analyst

Data Warehouse Analyst

Noblesoft Technologies

Secaucus, NJ • Remote

Contractor

Posted 25 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.