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Data Warehousing Analyst Jobs (NOW HIRING)

Kalera

Data Warehouse Engineer

Orlando, FL

... Warehousing and BI projects. * Architect and maintain data warehouses to support ease of data modeling, reporting, and analysis using dimensional model architecture (such as star schemas and OLAP ...

Kalera

Data Warehouse Engineer

Orlando, FL · On-site

... Warehousing and BI projects. * Architect and maintain data warehouses to support ease of data modeling, reporting, and analysis using dimensional model architecture (such as star schemas and OLAP ...

TEKsystems

Epic Clarity Data Analyst

Omaha, NE

$70 - $85/hr

Data Warehousing & Analytics * Utilize Snowflake to support data storage, analysis, and reporting initiatives. * Work with large datasets to perform data validation, transformation, and analysis.

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 ...

Revinate

Data Warehouse Engineer

The Data Warehouse Engineer will be responsible for building and maintaining an internal data warehouse, aggregating data from various source systems, and facilitating complex business analyses ...

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Data Warehousing Analyst information

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How much do data warehousing analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data warehousing analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Warehousing Analyst vs Data Engineer?

AspectData Warehousing AnalystData Engineer
Primary FocusAnalyzing and maintaining data warehouse data, reporting, and data qualityDesigning, building, and maintaining data pipelines and infrastructure
Skills & CertificationsSQL, data analysis, data warehousing tools, certifications like Microsoft Certified Data AnalystProgramming (Python, Java), ETL tools, cloud platforms, certifications like AWS Certified Data Analytics
Work EnvironmentBusiness intelligence teams, data analysis departmentsData engineering teams, IT infrastructure
Industry UsageFinance, healthcare, retail, where data analysis is keyTech, finance, e-commerce, focusing on data infrastructure

The main difference between a Data Warehousing Analyst and a Data Engineer lies in their focus: analysts interpret and report on data stored in warehouses, while engineers build and maintain the systems that store and process the data. Both roles often collaborate but serve distinct functions within data management.

What is a Data Warehousing Analyst?

A Data Warehousing Analyst is a professional who designs, implements, and maintains data warehouse systems. They gather and analyze data from multiple sources, ensuring data quality, integrity, and accessibility for business intelligence and reporting purposes. Their role often involves collaborating with IT teams and business stakeholders to meet organizational data needs. Data Warehousing Analysts also optimize data storage and retrieval processes to support informed decision-making.

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

To thrive as a Data Warehousing Analyst, you need strong analytical skills, experience with database management, and a background in computer science or a related field. Expertise in SQL, ETL tools (such as Informatica or Talend), and familiarity with data warehousing platforms like Amazon Redshift or Snowflake are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills for translating business needs into technical solutions. These skills ensure accurate data integration, reliable reporting, and support critical decision-making within organizations.

What are some common challenges a Data Warehousing Analyst faces when integrating data from multiple sources?

Data Warehousing Analysts often encounter challenges such as discrepancies in data formats, varying data quality, and inconsistent data definitions across different systems. Successfully integrating data requires thorough data profiling, transformation, and cleansing to ensure accuracy and consistency. Additionally, collaborating closely with business units and IT teams is crucial to understand data requirements and resolve integration issues efficiently.
More about Data Warehousing Analyst jobs
What cities are hiring for Data Warehousing Analyst jobs? Cities with the most Data Warehousing Analyst job openings:
What job categories do people searching Data Warehousing Analyst jobs look for? The top searched job categories for Data Warehousing Analyst jobs are:
Data Warehousing Analyst jobs near you
Infographic showing various Data Warehousing 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 $82,640 per year, or $39.7 per hour.

Data Warehouse Analyst

Connective Business Solution

Tallahassee, FL • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Connective Business Solution is seeking a Data Warehouse Analyst to gather and assess business information needs and prepare system requirements. The role involves performing analyses, development, and evaluation of data mining in a data warehouse environment, ensuring data accuracy, and providing technical consulting to users.
Responsibilities:
• Responsible for gathering and assessing business information needs and preparing system requirements.
• Performs analyses, development and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata and repository creation.
• Uses data mining and data analysis tools.
• Reviews and validates data loaded into the data warehouse for accuracy.
• Interacts with user community to produce reporting requirements.
• Provides technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage.
• Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses.
• Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments.
• Possesses working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools.
• Must have an extensive knowledge of data warehouse and data mart concepts.
Qualifications:
Required:
• Bachelor’s Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience.
• A minimum of 3 years of IT work experience in business intelligence tools and systems.
• Responsible for gathering and assessing business information needs and preparing system requirements.
• Performs analyses, development and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata and repository creation.
• Uses data mining and data analysis tools.
• Reviews and validates data loaded into the data warehouse for accuracy.
• Interacts with user community to produce reporting requirements.
• Provides technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage.
• Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses.
• Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments.
• Possesses working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools.
• Must have an extensive knowledge of data warehouse and data mart concepts.
• Intermediate professional level role.
• Provides data warehouse architectural design, development and support in multi-platform environments.
• Works on multiple projects as a team member and may lead projects of moderate complexity.
• May coach more junior technical staff.
Company:
Welcome to Connective Business Solution – your trusted partner in driving business success for small and medium-sized enterprises (SMBs) as well as large-scale and government projects. Founded in 2022, the company is headquartered in Orlando, US, , with a team of 11-50 employees. The company is currently Early Stage.

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