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Entry Level Data Warehousing Jobs (NOW HIRING)

GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

... Warehousing Understanding and knowledge of Ad Hoc Business Analysis Day to day work involves proficiency in using advanced computerized models to extract the data needed Removing corrupted data and ...

Ames Construction

Data Analyst

Burnsville, MN · On-site

We are looking for an entry-level Data Analyst to join our team and support the modernization of ... Data Warehouse) to support data transformation and modeling using SQL, Python and AI as well as ...

Ames Construction

Data Analyst

Burnsville, MN

We are looking for an entry-level Data Analyst to join our team and support the modernization of ... Data Warehouse) to support data transformation and modeling using SQL, Python and AI as well as ...

GainAm

Entry Level Data Scientist job

Hicksville, NY · On-site

$70K/yr

... data problems Assess project requirements and develop data analysis algorithms Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables Contribute to ...

auction

Data Analyst - Irvine, CA.

Irvine, CA · On-site +1

Basic understanding of data warehousing and data lake concepts; familiarity with enterprise data ... Entrylevel candidates are encouraged to apply; internship, coop, academic project, or early ...

Proman Staffing

Be Seen First

Entry Level Warehouse Associate

Pleasant Prairie, WI · On-site

$13.50 - $15/hr

We are hiring Entry Level Warehouse Associate for this CLIMATE CONTROLLED facility! We Pay Weekly ... Comfortable performing basic data entry using a PC * Reliable attendance and ability to follow ...

Hadronts

Entry Level Infermatica(ETL) Developer

Austin, TX

$50.50 - $66.25/hr

Informatica Developer Hadronts Group is searching for an entry level Informatica Developer to join ... robust Data Warehouse In this role you will be responsible for providing expertise to business ...

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How much do entry level data warehousing jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for entry level data warehousing in the United States is $65.82, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $76.44 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Warehousing professional, and why are they important?

To thrive as an Entry Level Data Warehousing professional, you need a solid understanding of database concepts, SQL, and basic data modeling, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools such as Microsoft SQL Server, Oracle, or cloud platforms like AWS Redshift, as well as certifications like Microsoft Certified: Azure Data Fundamentals, is beneficial. Attention to detail, problem-solving abilities, and effective communication help you accurately manage data and collaborate with technical teams. These skills are crucial for ensuring data integrity and supporting business intelligence efforts within organizations.

What are some common challenges faced by entry level data warehousing professionals, and how can they overcome them?

Entry level data warehousing professionals often encounter challenges such as understanding complex data models, working with large datasets, and learning new ETL (Extract, Transform, Load) tools. Adapting to rapidly changing technologies and ensuring data quality can also be demanding. To overcome these challenges, it is helpful to proactively seek mentorship from experienced team members, take advantage of online tutorials or company training resources, and regularly practice hands-on tasks within your projects. Collaboration and open communication with team members can also accelerate learning and help resolve technical issues more efficiently.

What are entry level data warehousing jobs?

Entry level data warehousing jobs are positions designed for individuals who are new to the field of managing and organizing large sets of data for analysis and reporting. These roles typically involve supporting the development, maintenance, and optimization of data warehouses, which are centralized repositories that store data from various sources. Responsibilities may include data extraction, transformation, and loading (ETL), basic database management, and assisting with data quality checks. Entry level professionals often work under the supervision of experienced data engineers or analysts and gain experience with tools like SQL, ETL software, and data visualization tools. Most entry level roles require strong analytical skills, attention to detail, and a foundation in databases or computer science.

What is the difference between Entry Level Data Warehousing vs Data Analyst?

AspectEntry Level Data WarehousingData Analyst
Required CredentialsBasic SQL, data management certifications, relevant degreeStatistical, analytical, and data visualization skills, often with similar certifications
Work EnvironmentData warehouses, ETL processes, database management systemsData analysis tools, dashboards, reporting platforms
Employer & Industry UsageTech, finance, healthcare, retail companies managing large datasetsMarketing, finance, consulting, and other sectors analyzing data for insights

Entry Level Data Warehousing focuses on managing and organizing large datasets within data warehouses, while Data Analysts interpret data to generate reports and insights. Both roles require similar foundational skills but differ in daily tasks and focus areas.

More about Entry Level Data Warehousing jobs
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Entry Level Data Warehousing jobs near you

Entry Level Data Analyst job

GainAm

Hicksville, NY • On-site

$70K/yr

Full-time

Posted 8 days ago

Job description

Required Skills
A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep Work, Problem Solver, Reliable, consistent, Attention to detail
Required Experience
Ability to learn and utlize Exploratory Data Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis
Day to day work involves proficiency in using advanced computerized models to extract the data needed
Removing corrupted data and Performing initial analysis to assess the quality of the data
Performing further analysis to determine the meaning of the data
Performing final analysis to provide additional data screening
Preparing reports based on analysis and presenting to management

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