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Data Warehousing Jobs (NOW HIRING)

Techvilla Solutions

PA · On-site

We are seeking a Data Warehousing Systems Analyst II to support enterprise data warehouse solutions, data analysis, system integrations, and business applications. The role will work closely with ...

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Data Warehousing information

What is data warehousing?

Data warehousing is the process of collecting, storing, and managing large volumes of data from different sources in a central repository, called a data warehouse. This centralized storage allows organizations to analyze historical data, generate reports, and make informed business decisions. Data warehouses are optimized for query and analysis rather than transaction processing, and they often use specialized tools and technologies to ensure data is consistent, reliable, and easily accessible for business intelligence purposes.

What are the key skills and qualifications needed to thrive as a data warehousing professional?

To thrive in Data Warehousing, you need expertise in data modeling, SQL, ETL processes, and a solid background in computer science or information systems. Familiarity with data warehouse platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as ETL tools such as Informatica or Talend, and relevant certifications are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals collaborate and deliver actionable insights. These competencies are crucial for ensuring data integrity, optimizing storage solutions, and supporting informed business decisions.

What are the typical challenges faced by professionals in data warehousing roles when integrating data from multiple sources?

Professionals in data warehousing often face challenges such as ensuring data consistency and quality when integrating data from various sources, which may use different formats and standards. Other common hurdles include handling large volumes of data efficiently, maintaining data security and compliance, and managing the complexity of ETL (Extract, Transform, Load) processes. Collaboration with business analysts, IT teams, and data engineers is essential to accurately define requirements and troubleshoot integration issues. Successfully navigating these challenges requires strong problem-solving skills and a solid understanding of both business needs and technical solutions.

What is the difference between Data Warehousing vs Data Analyst?

AspectData WarehousingData Analyst
Primary RoleDesigning, building, and managing data storage systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, database management, data modelingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData warehouses, database servers, cloud platformsBusiness units, reporting tools, dashboards
Industry UsageIT, data engineering, business intelligenceMarketing, finance, operations, business analysis

While Data Warehousing focuses on creating and maintaining data storage systems, Data Analysts utilize these systems to interpret data and support decision-making. Both roles often collaborate but serve different functions within data management and analysis processes.

Is data warehousing a good career?

Data warehousing is a viable career option for those interested in managing large datasets, designing data models, and working with tools like SQL, ETL processes, and cloud platforms. It offers opportunities in industries such as finance, healthcare, and technology, with demand for skills in data integration and analytics growing steadily.
More about Data Warehousing jobs

What cities are hiring for Data Warehousing jobs?

Cities with the most Data Warehousing job openings:

What are the most commonly searched types of Data Warehousing jobs?

The most popular types of Data Warehousing jobs are:

What states have the most Data Warehousing jobs?

States with the most job openings for Data Warehousing jobs include:

What job categories do people searching Data Warehousing jobs look for?

The top searched job categories for Data Warehousing jobs are:

What other helpful pages are available for Data Warehousing?

Other pages related to Data Warehousing:

Infographic showing various Data Warehousing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Data Warehousing Systems Analyst

Blawnox, PA • On-site

Techvilla Solutions
IT Services • 51 - 200 employees
Learn more about Techvilla Solutionsexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a Data Warehousing Systems Analyst II to support enterprise data warehouse solutions, data analysis, system integrations, and business applications. The role will work closely with technical and business stakeholders to gather requirements, troubleshoot issues, support data processes, and improve system functionality.

Roles and Responsibilities
  • Support enterprise data warehousing, ETL processes, and data integrations.
  • Write, execute, and troubleshoot complex SQL queries.
  • Analyze data, reporting requirements, system issues, and data flows.
  • Gather, document, and translate business and technical requirements.
  • Support enterprise applications and business systems.
  • Perform systems analysis, troubleshooting, and process improvement.
  • Support software implementations, projects, and application lifecycle activities.
  • Ensure data integrity, security, and governance.
  • Create user stories, support backlog activities, and document functional requirements.
  • Collaborate with business users, IT teams, vendors, and management.
  • Provide end-user support and training when required.
Required Skills & Experience
  • 5+ years of Information Technology experience.
  • Strong proficiency in writing and executing SQL.
  • Working knowledge of Data Warehousing, ETL processes, and Data Security.
  • Experience with enterprise applications, data analysis, reporting, and system integrations.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work effectively with both technical and business stakeholders.
  • Demonstrated aptitude, ownership, and thought leadership in previous roles.
  • Solid understanding of the Software Development Life Cycle (SDLC).
Preferred Skills
  • 2+ years of experience supporting Data Warehousing solutions.
  • Experience with Oracle R12 (12.2), Oracle 19c, PL/SQL, SQL, and Linux.
  • Knowledge of Oracle ERP modules, including:
    • Finance
    • Project Accounting
    • Procurement
    • Order-to-Cash
    • Procure-to-Pay
  • Experience with reporting tools and database technologies.
  • Experience with requirements gathering, process mapping, workflow design, and application support.
  • Experience with data integrity, governance, and systems integration.

Apply