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Entry Level Data Warehousing Jobs (NOW HIRING)

Argyle Infotech

Data Analyst

Quincy, MA

Data Warehousing,.net, Data Science, Commercial Skills Test Information System (CSTIMS), knowledge ... the Entry Level Driver Training requirements and related database Identify key performance ...

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 ...

CodersData

Data Analyst (Entry Level)

Patchogue, NY

Data Analyst (Entry Level) Codersdata have been the undisputed training and placements providers ... Supporting the data warehouse in identifying and revising reporting requirements. * Supporting ...

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 ...

Maintec Technologies

Data Analyst

Quincy, MA

... the Entry Level Driver Training requirements and related database * Identify key performance ... NET * Four years' experience working in technical data analysis, data science, or data warehousing ...

Auction.com

Data Analyst - Irvine, CA.

Irvine, CA · On-site +1

Basic understanding of data warehousing and data lake concepts; familiarity with enterprise data ... * Entry-level candidates are encouraged to apply; internship, co-op, academic project, or early ...

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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
What cities are hiring for Entry Level Data Warehousing jobs? Cities with the most Entry Level 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 Entry Level Data Warehousing jobs? States with the most job openings for Entry Level Data Warehousing jobs include:
What job categories do people searching Entry Level Data Warehousing jobs look for? The top searched job categories for Entry Level Data Warehousing jobs are:
Entry Level Data Warehousing jobs near you
Infographic showing various Entry Level Data Warehousing job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $136,908 per year, or $65.8 per hour.

Data Analyst

Argyle Infotech

Quincy, MA

Other

Posted 24 days ago

Job description

Contract Based Data Analyst

Position: Data Analyst

Location: Quincy, Massachusetts

Hire Type: Contract (6 months)

Client: State of MA

Skills Needed: Data Warehousing,.net, Data Science, Commercial Skills Test Information System (CSTIMS), knowledge of SQL queries, working in technical data analysis, Knowledge of RMV database ATLAS, designing reports and dashboards.

Job Description:

This position is funded by grant funds awarded by the Federal Motor Carrier Safety Administration (FMCSA). As such, the Registry of Motor Vehicles (RMV) division is required to become compliant with specific federal regulations as a condition of grant funding. In this instance, the federal regulation is §384.229, which requires the RMV to become compliant with the Examiner Auditing and Monitoring regulation within its Commercial Driver Licensing (CDL) Road Skill Test program.

The general requirements of this regulation are written into the responsibilities that will be required of this data analyst, and the specific requirements will be written into the Scope of Services upon hire.

Duties and Responsibilities:

Examine data in the Commercial Skills Test Information System (CSTIMS) and ATLAS to analyze pass/fail test data to determine reasons for CDL road test failures

Track failures within each specific skills test component to include pre-trip inspection, maneuvers, and the road test

Determine how many attempts it takes for a road test applicant to pass the CDL road skill test

Analyze and document trends related to CDL training schools, road test training sites, and road skill test examiners

Determine length of time it takes CDL applicants to obtain a license, from written permit exam to issuance of CDL by RMV

Analyze and document how long it takes from the time an applicant requests a road test to their actual road skill test appointment

Using analysis specific to training schools, make recommendations as to how they might better prepare their CDL students for the RMV road skill testing process

Provide recommendations as to specific reports that would enable the RMV to monitor the Road Skill Test program on an on-going basis

Provide the Commercial Motor Vehicle (CMV) Program Coordinator with actionable insights and analysis reports based on data, to support decision-making efforts toward program oversight and monitoring goals

Communicate with, and present technical information to, non-technical stakeholders

Gather and aggregate data to meet the business need of developing a program monitoring and oversight solution

Analyze the reports currently provided by the American Association of Motor Vehicle Administrators (AAMVA) regarding CDL testing, determine their usefulness to program monitoring and oversight efforts, and suggest new or different reports for needed information

Create a database and possibly reports that track the specific information needed to become compliant with FMCSA regulations around the RMV Road Skill Test program

Become familiar enough with CMV program to understand the data needed to address program deficiencies and create improvement, and how to access that data; specifically, the Entry Level Driver Training requirements and related database

Identify key performance indicators for the CMV program coordinator to measure the effectiveness of the Road Skill test program

Explore large data sets to find usable information

Requirements:

Bachelor’s degree in computer science, mathematics, economics, statistics, information management, or a related field preferred

Basic knowledge of SQL queries and .NET

Four years experience working in technical data analysis, data science, or data warehousing, preferably in a transportation-related field

Experience designing reports and dashboards

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Adept at queries, report writing, and presenting findings

Excellent communication skills including written, verbal, and presentation

Knowledge of RMV database ATLAS

Kiran Kumar

kumars@argyllinfotech.com ARGYLL INFOTECH Inc Chicago, Illinois.

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