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Data Warehousing Analyst Jobs (NOW HIRING)

Revinate

Data Warehouse Engineer

Atlanta, GA · On-site

The role involves collaborating with department leaders to define business metrics, analyzing data structures, and building a robust data warehouse. Responsibilities : • Help transition and ...

Mohegan

Data Warehouse Engineer

Uncasville, CT · On-site

Collaborate with business stakeholders and management to understand analytical requirements and ... Stay current with emerging technologies, tools, and methodologies in data warehousing and data ...

krg technology inc

Data Analyst

Eden Prairie, MN · On-site

... Data Warehousing - business or data analysis experience in data warehousing 2+ years of experience with query tools such as Cognos, SAS, Toad, or Teradata SQL Assistant 5+ years of experience with ...

Cadence

Data Warehouse Engineer

San Jose, CA · On-site

Writing efficient SQL queries, stored procedures, and functions to extract, manipulate, and analyze ... Experience with data modeling, data warehousing, and ETL (Extract, Transform, Load) processes • ...

Infojini Inc

Data Analyst

Linthicum Heights, MD

Lead data warehousing efforts and performing data analysis as needed across sets of transactional, operational, device, and various other data sources. Coordinate with the development team, business ...

Revinate

Data Warehouse Engineer

Atlanta, GA · Remote

$110K - $120K/yr

... warehouse * Active monitoring and alerting of the data and its sources What You'll Do * Define and ... Analyze and master data structures across various source systems, including Salesforce, NetSuite ...

Jencap

Data Analyst

Summit, NJ

The Data Warehouse Data Analyst is a hands-on position with a focus on supporting the data accuracy and completeness within the enterprise data warehouse * The position will work within IT to help ...

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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 Engineer

Data Warehouse Engineer

Revinate

Atlanta, GA • On-site

Full-time

Re-posted 20 days ago

Job description

Job Summary:
Revinate is a company focused on data solutions, and they are seeking a Data Warehouse Engineer to help transition and stabilize their new data architecture. The role involves collaborating with department leaders to define business metrics, analyzing data structures, and building a robust data warehouse.
Responsibilities:
• Help transition and stabilize the new data architecture
• This individual will be able to handle adding and keeping sources concise and work with other engineers to build a robust and stable data warehouse
• Active monitoring and alerting of the data and its sources
• Define and align on critical business metrics by collaborating closely with department leaders.
• Analyze and master data structures across various source systems, including Salesforce, NetSuite, and internal databases.
• Leverage ETL and streaming technologies, such as Apache Airflow and Kafka Connect, to facilitate seamless data transfers.
• Build and maintain a data warehouse (e.g., BigQuery).
• Use business intelligence tools (e.g., Looker) to establish data models and create.
Qualifications:
Required:
• Bachelors degree in relevant field
• At least three years of relevant experience working with data warehouses and business intelligence platforms
• Meaningful experience with the following technologies: Python (or a similar language), Apache Airflow, Google BigQuery, SQL
• Experience in Cloud Data Warehouses
• Familiarity with Data ecosystems
Company:
Revinate empowers hotels to connect directly with their guests. Founded in 2009, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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