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Overnight Remote Data Warehouse Jobs (NOW HIRING)

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

American Heart Association

Data Warehouse Developer

Dallas, TX · On-site +1

$48.75 - $66.75/hr

The American Heart Association has an excellent opportunity for a Data Warehouse Developer ! This ... Ability to travel up to 10% local and overnight stay. Here are some of the preferred skills we are ...

Workout World

(Remote) Data Entry - Typist - Entry Level

$17.50 - $23.25/hr

Our paid focus group members come from all backgrounds and industries including remote data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or ...

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Overnight Remote Data Warehouse information

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

AspectOvernight Remote Data WarehouseData Analyst
CredentialsData warehousing certifications, SQL, ETL toolsStatistics, data visualization, SQL
Work EnvironmentRemote, data center or cloud-basedRemote or on-site, office or client sites
Industry UsageData storage, ETL processes, BI infrastructureData interpretation, reporting, insights
Search IntentRoles focused on data storage and pipeline managementRoles focused on analyzing and visualizing data

The Overnight Remote Data Warehouse primarily involves managing data storage, ETL processes, and maintaining data infrastructure remotely, often during off-hours. Data Analysts focus on interpreting data, creating reports, and providing insights. While both roles work with data, their core responsibilities and skill sets differ, making this comparison useful for those exploring data-focused careers.

More about Overnight Remote Data Warehouse jobs
What cities are hiring for Overnight Remote Data Warehouse jobs? Cities with the most Overnight Remote Data Warehouse job openings:
What are the most commonly searched types of Remote Data Warehouse jobs? The most popular types of Remote Data Warehouse jobs are:
What states have the most Overnight Remote Data Warehouse jobs? States with the most job openings for Overnight Remote Data Warehouse jobs include:
What job categories do people searching Overnight Remote Data Warehouse jobs look for? The top searched job categories for Overnight Remote Data Warehouse jobs are:
Overnight Remote Data Warehouse jobs near you
Infographic showing various Overnight Remote Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% Remote job distribution.

Data Warehouse Analyst

Noblesoft Technologies

Secaucus, NJ • Remote

Contractor

Re-posted 10 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.