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Senior Data Warehouse Analyst Jobs (NOW HIRING)

Provide support for data warehousing initiatives and monitor data warehousing system to ensure reliability and accuracy of information loaded into the databases. Analyze the logical and physical ...

Responsible for the implementation of data warehouse infrastructure including ETL programs, views ... Demonstrated analytical skills and critical thinking skills Training Requirements: * Knowledge of ...

Our client seeks a Data Warehouse Analyst. This position will be responsible for the assessment of data quality and metadata within client's data architecture. They will be responsible for the data ...

Familiarity with Snowflake RBAC, roles, warehouse sizing, and data governance. * Proficient in ... Build advanced DAX measures and analytical logic to support enterprise-grade end-user reporting.

Data Warehouse Analyst

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

Create data quality KPIs, reports, and dashboards to track data health. * Create and review SQL scripts and use Python for data analysis and automation. * Collaborate with Data Architects, Data ...

New

Sr. Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

The Senior Data Analyst develops logical data models, interfaces, and validation specifications; supports data warehousing and legacy system migration, and provides authoritative data products for ...

Sr. Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

The Senior Data Analyst develops logical data models, interfaces, and validation specifications; supports data warehousing and legacy system migration, and provides authoritative data products for ...

$86K - $130K/yr

Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 900081 ISD Analytics Work Shift ... The Senior Data Warehouse Developer's responsibilities include architecting, designing, developing ...

Sr. Data Analyst

Dahlgren, VA · On-site

$87K - $110K/yr

The Senior Data Analyst develops logical data models, interfaces, and validation specifications; supports data warehousing and legacy system migration, and provides authoritative data products for ...

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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 Aug 15, 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?

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:

Infographic showing various Senior Data Warehouse Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Data Warehouse Analyst

VIVA USA INC

Madison, WI • On-site, Remote

Contractor

Posted 5 days ago


Job description

90-100% remote but can require staff to come onsite as necessary with sufficient notice.
This position will be responsible for the assessment of data quality and metadata within the client data architecture. They will be responsible for the data profiling, analysis and documentation of data quality.
The individual in this position will:
Audit existing databases to assess data characteristics such as completeness, accuracy, outliers, and duplicates.
Investigate and define automated validation rules to guarantee data accuracy and catch errors at the point of entry.
Develop data cleansing and remediation recommendations for data irregularities.
Establish key performance indicators (KPIs) to measure data health, and build reporting dashboards to track quality metrics and trends.
Investigate the origins of recurring data errors (e.g., system bugs, user errors, integration issues) and recommend targeted, systemic solutions.
Document and define key metadata around database architecture.
Make recommendations on data maintenance and data quality.
Collaborate with Data Modelers and Data Architects on recommendations for key data management and data quality efforts.
Experience with Human Services business intelligence is desirable.
Latitude for independent judgment. Typically requires four to five years experience or equivalent education.
Provide support for data warehousing initiatives and monitor data warehousing system to ensure reliability and accuracy of information loaded into the databases. Analyze the logical and physical database models and ensure models are in accordance with standards. Generate and prepare reports to support business objectives. Perform analysis and testing of relational databases and investigate any data load failures or data retrieval issues. Career-Development position within field. Requires moderate skill sets and developing proficiency within discipline. Conducts tasks and assignments as directed.
Qualification - Experience
Data Profiling - 5+ years
Python - 3 years
Database design concepts - 5+ years
Excellent organization, analytical, and communication skills - 5 years
Creating and reviewing SQL scripting - 5 years
Knowledge of Oracle PL/SQL - 5 years
Metadata tools - 5 years
Oracle 11g/DB2/SQL Server - 5 years
Oracle data dictionary views - 4 years
Metadata documentation experience - 5 years
Data quality assessment and profiling - 5 years
Top skills:
Experience in metadata discovery and documentation (5+ years)
Experience in data profiling (5+ years)
Experience in data quality assessment and identification (5+ years)
Advanced experience in SQL and Python (3+ years)
Notes:
90-100% remote but can require staff to come onsite as necessary with sufficient notice. Onsite work is not likely, but candidate should be prepared to come onsite if required.
Candidate must be available to perform all work during the Central Standard Time (CST) business hours 9:00 am - 3 pm (or CST hours as defined by the hiring manager)
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status