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Data Warehouse Analyst Jobs (NOW HIRING)

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 ...

The Data Warehouse Developer-Analyst will be supporting a new area of analysis involving User Experience data with our products. Through the new Marts supporting analysis of this data, the incumbent ...

Data Warehousing Analyst

Providence, RI · On-site +1

$83K - $124K/yr

Analyze, define, maintain, and manage business data contained within the enterprise data warehouse ... Map and verify data from new data sources into the warehouse, ensuring the integrity of the data.

Houston TX Duration: 9 Months Skillsets: • 8 years of experience as a Data Warehouse Analyst • Proficient on SQL queries development • Knowledge on Data warehouses techniques with emphasis on ...

Responsibilities : • Designing and implementing cloud-based data warehouses using Azure Synapse Analytics (formerly SQL DW) to create a single source of truth. • Building pipelines with Azure ...

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Data Warehouse Analyst information

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How much do data warehouse analyst jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for 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 Data Warehouse Analyst vs Data Analyst?

AspectData Warehouse AnalystData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related; certifications like CDMP or DAMA often preferredBachelor's in Statistics, Mathematics, or related; certifications like Microsoft Data Analyst Associate common
Work EnvironmentFocus on database management, ETL processes, and data warehousing toolsFocus on data visualization, reporting, and data interpretation
Employer & Industry UsageUsed in organizations with large data infrastructure, BI teams, and data engineeringUsed across various industries for business insights, marketing, finance, and operations

The Data Warehouse Analyst specializes in managing and optimizing data storage systems, ensuring data quality, and supporting business intelligence infrastructure. In contrast, the Data Analyst focuses on analyzing data to generate reports and insights for decision-making. While both roles require strong analytical skills, the Data Warehouse Analyst emphasizes data architecture and ETL processes, whereas the Data Analyst emphasizes data interpretation and visualization.

What are some common challenges Data Warehouse Analysts face when integrating data from multiple sources?

Data Warehouse Analysts often encounter challenges such as inconsistent data formats, varying data quality, and discrepancies in source system structures when integrating data from multiple sources. Addressing these issues requires strong data profiling skills and close collaboration with data owners and IT teams to establish data cleansing and transformation processes. Additionally, ensuring data integrity and managing large volumes of information can be demanding, but leveraging ETL tools and robust documentation practices can help streamline the process and maintain data accuracy.

What Does a Data Warehouse Analyst Do?

Data warehouse analysts gather and process information stored in the company database. Their job duties include designing and managing the database, troubleshooting issues as they arise. As a data warehouse analyst, you research and evaluate data to make recommendations to management about ways to improve data storage, reporting, and other business issues. A senior-level analyst may manage a team and be responsible for the integrity of data extraction and ensuring company information is secure.

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

To thrive as a Data Warehouse Analyst, you need expertise in data modeling, SQL, ETL processes, and a background in computer science, information systems, or a related field. Familiarity with data warehousing tools like Microsoft SQL Server, Oracle, Informatica, or cloud platforms, as well as certifications such as Certified Data Management Professional (CDMP), is often required. Analytical thinking, problem-solving, and strong communication skills help analysts interpret complex data and convey actionable insights to stakeholders. These competencies ensure accurate data integration, efficient reporting, and support data-driven decision-making within organizations.

What are Data Warehouse Analysts?

Data Warehouse Analysts are professionals who design, implement, and manage data warehouse systems to help organizations store, retrieve, and analyze large volumes of data. They work with various data sources, ensure data integrity, and create reports or dashboards for business decision-making. Their role involves collaborating with IT teams, business analysts, and stakeholders to understand data requirements and translate them into technical solutions. They also optimize data processes and ensure the data warehouse operates efficiently and securely.
What cities are hiring for Data Warehouse Analyst jobs? Cities with the most 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 Data Warehouse Analyst jobs? States with the most job openings for Data Warehouse Analyst jobs include:
Infographic showing various Data Warehouse Analyst job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $101,897 per year, or $49 per hour.
Data Warehouse Analyst, C. Advanced

Data Warehouse Analyst, C. Advanced

InstantServe LLC

Tallahassee, FL • On-site

Full-time

Posted 11 days ago


Job description

Scope of Services
The resource will support cloud-based data integration initiatives by translating business needs into system and integration requirements. They will design, develop, and manage scalable ETL/ELT pipelines using Informatica Intelligent Data Management Cloud (IDMC) capabilities-including cloud data integration-while ensuring reliable delivery of accurate, consistent, and governed data across diverse platforms such as relational databases and mainframe flat files.
They will collaborate with business stakeholders to document reporting and analytics requirements and validate that integrated data supports decision-making needs. The role also involves supporting real-time and batch data flows, conducting data modeling for cloud data warehousing, and optimizing performance and quality enforcement through modular pipeline design and orchestration. Familiarity with scripting languages and ongoing evolution in the cloud ecosystem is essential for maintaining agility and technical excellence.
Additionally, the resource will be responsible for converting legacy mainframe (JCL, COOLGEN, COBOL, FOCUS and WebFOCUS) code into modern, IDMC data integration workflows. This includes working closely with business analysts and stakeholders in analyzing existing logic, reports, and data flows to identify transformation requirements; rearchitecting them using IDMC tools; and implementing equivalent functionality within cloud-native environments. Supporting this function requires expertise in legacy data retrieval methods, report logic translation, and integration design that aligns with current best practices. Clear documentation, structured testing, and close collaboration with business and technical teams will be essential to ensure fidelity and completeness in the conversion process.
Education
Bachelor's Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience.
Experience
A minimum of 7 years of IT work experience utilizing data management tools, business intelligence tools, and data
warehousing.
Primary Job Duties/ Tasks
Prototypes, builds, and tests extraction, transformation, and load (ETL or ELT) jobs
Analyzes transactional data stores and develops data warehouse models to optimize the warehouse data
stores for reporting and analytics
Creates designs, diagrams, and documents to support data integration and data warehouse solutions
Ensures data warehouse metadata is collected and maintained
Coaches and mentors peers in data warehousing concepts and the use of the tools utilized to analyze data,
design the warehouse models, and populate the warehouse.
Assists with the development and maintenance of methods and practices documentation.
Job Specific Knowledge, Skills, and Abilities (KSAs)
7 Years experience in Data Warehousing and Data Integration
4 Years experience designing, developing, and supporting ETL/ELT pipelines using Informatica Intelligent Data Management Cloud (IDMC) and Informatica on-prem solutions
Extensive knowledge of data warehouse and data mart concepts
Ability to model transactional data for data warehousing usage
Knowledge of and skill in Snowflake cloud data warehouse functionality
Extensive knowledge of and expert skill in use of Informatica PowerCenter Cloud Platform
Knowledge of and skill in Informatica Data Quality functionality
Knowledge of and skill in Informatica Data Catalog functionality
Knowledge of and skill in Power BI, Tableau, and other reporting tools functionality
Knowledge of and skill in relational database platforms including DB2, SQL Server, and Oracle
General Knowledge Skills and Abilities (KSAs):
The submitted candidate must be able to apply common knowledge, skills, and abilities in the following areas:
Communication: Have the ability to clearly convey information, in both written and verbal formats, to
individuals or groups in a wide variety of settings (i.e.; project team meetings, management presentations, etc.).
Must have the ability to effectively listen and process information provided by others.
Customer Service: Works well with clients and customers (i.e.; business office, public, or other agencies). Able
to assess the needs of the customer, provide information or assistance to satisfy expectations or resolve a problem.
Decision Making: Makes sound, well-informed, and objective decisions.
Flexibility: Is open to change, new processes (or process improvement), and new information. Has the ability to adapt in response to new information, changing conditions, or unexpected obstacles. Ability to receive and give constructive criticism, and maintain effective work relationships with others.
Interpersonal: Shows friendliness, courtesy, understanding, and politeness to others.
Leadership: Motivates, encourages, and challenges others. Is able to adapt leadership styles in a variety of situations.
Problem Solving: Able to identify, evaluate, and use sound judgement to generate and evaluate alternative actions, and make recommendations as accordingly.
Team Building: Encourages, inspires, and guides others toward accomplishing the common goal.
Quality Assurance: Knowledge of the ideologies, techniques and tools for quality assurance and control. The ability to put the ideologies, techniques, and tools into practice.

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About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

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