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Entry Level Data Warehousing Jobs (NOW HIRING)

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 ...

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 ...

SynergisticIT

Entry Level Data Scientist

Miami, FL

Identify valuable data sources and automate collection processes * Undertake preprocessing of structured and unstructured data * Analyze large amounts of information to identify client trends and ...

SynergisticIT

Entry Level Data Scientist

Tucson, AZ

Identify valuable data sources and automate collection processes * Undertake preprocessing of structured and unstructured data * Analyze large amounts of information to client trends and patterns

SynergisticIT

Entry Level Data Scientist

Tempe, AZ

Synergisticit Pics /Salaries of Successful Candidates Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do Tech Companies not Hire recent Computer Science ...

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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 Scientist

Entry-Level Data Scientist

SynergisticIT

San Francisco, CA

Other

Posted yesterday

Job description

SYNERGISTICIT for the past 15 years has helped Jobseekers differentiate themselves by providing the clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers.
All Positions are open for all visas and US citizens
We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this economy no client wants or has the resources to take an entry level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experience and freshers who are unemployed.
Clients have now the option to hire remote workers from anywhere so for a Jobseeker its important to introspect and see how they can become better and have the skills and technologies to meet client requirements.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry
We welcome candidates with all visas and citizens to apply.
If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.
please check the below links to see success outcomes of our candidates
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT
If you have relevant skills and industry experience, please apply
For preparing for interviews please visit
https://www.synergisticit.com/interview-questions/
REQUIRED SKILLS For Java /Software Programmers
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, javascript , C++ or software programming
  • Spring boot, Microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
  • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
  • Excellent written and verbal communication skills
Preferred skills: Databricks, Snowflake, Text mining, Tableau, PowerBI, Time series analysis
Please understand skills and relevant experience on real world projects are required by clients for selection even if its Junior or entry level position the additional skills and Project work with hands on experience building projects at client site are the only way a candidate can be picked by clients.
No third party candidates or c2c candidates
please only apply to the posting
If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.
No phone calls please. Shortlisted candidates would be reached out.

Apply