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Bi Data Warehouse Analyst Jobs (NOW HIRING)

We are seeking a Data Warehouse Analyst to join our team. This role will involve gathering and ... Prototype, build, and test reports and dashboards using Power BI and Tableau . * Provide technical ...

In-Person Role Overview The Data Warehouse Analyst will design, develop, and optimize Microsoft Power BI semantic models, dashboards, and analytical reports integrated with Snowflake. This role ...

Evaluate and improve existing BI systems. Qualifications : * Bachelor's degree in Computer Science ... Proven experience as a Data Warehouse Analyst, Data Warehouse Engineer, or similar role. * Strong ...

... warehouse metadata, and optimizing data models for reporting and analytics ... Responsibilities : • Prototypes, builds and tests Power BI and Cognos reports/dashboards. • ...

Data Warehouse Analyst Location: Onsite in Houston (hybrid- 3 days/week) Contract Duration: 6 ... PL/SQL Developer Power BI SAP knowledge/experience Excellent verbal and written communication ...

Data Warehouse Analyst Location: Onsite in Houston (hybrid- 3 days/week) Contract Duration: 6 ... PL/SQL Developer Power BI SAP knowledge/experience Excellent verbal and written communication ...

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 ...

... data modeling, and analytics modernization initiatives. The ideal candidate will have deep expertise in Power BI, Tableau, SQL, data warehousing, ETL/ELT, Snowflake, and dimensional modeling , with ...

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Bi Data Warehouse Analyst information

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

As of Sep 9, 2026, the average hourly pay for bi 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 Bi Data Warehouse Analyst vs Data Analyst?

AspectBi Data Warehouse AnalystData Analyst
CredentialsBachelor's in IT, Computer Science, or related field; certifications like Microsoft SQL Server or TableauBachelor's in Statistics, Mathematics, or related field; certifications like Excel, Tableau, or Power BI
Work EnvironmentData warehouses, business intelligence teams, IT departmentsBusiness units, marketing, finance, or operations teams
Industry UsageCommon in large enterprises with complex data systemsWidespread across industries for data analysis needs

The Bi Data Warehouse Analyst focuses on designing, maintaining, and optimizing data warehouses and BI systems, often requiring technical certifications. In contrast, Data Analysts primarily interpret data, create reports, and support decision-making with less emphasis on data infrastructure. Both roles are essential for data-driven organizations but serve different functions within the data ecosystem.

What cities are hiring for Bi Data Warehouse Analyst jobs?

Cities with the most Bi Data Warehouse Analyst job openings:

What are popular job titles related to Bi Data Warehouse Analyst jobs?

For Bi Data Warehouse Analyst jobs, the most frequently searched job titles are:

Data Warehouse Analyst

Secaucus, NJ • Remote

Noblesoft Technologies
Software Development • 51 - 200 employees

Contractor

Re-posted 12 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.