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Entry Level Data Automation Jobs (NOW HIRING)

Four Hands

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations ... We're building an automation- and data-first mindset across our technology organization and are ...

Link Up Overseas

Virtual Data Entry Clerk / Part Time

$17.50 - $23.25/hr

We are excited to announce multiple openings for Entry-Level Data Entry Clerks to join our dynamic ... Utilize software tools and automation to streamline data entry processes. * Participate in team ...

Cortina Solutions

Data Engineer

Huntsville, AL

$106K - $128K/yr

Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated ... Support the integration of advanced analytics and automation tools utilizing platforms like Power ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$60K - $83K/yr

Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated ... Support the integration of advanced analytics and automation tools utilizing platforms like Power ...

Cortina Solutions

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

Responsibilities We are seeking an entry-level Data Engineer to join our practice with a dedicated ... Support the integration of advanced analytics and automation tools utilizing platforms like Power ...

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Entry Level Data Automation information

What is an entry level data automation job?

Entry level data automation jobs typically involve assisting with the design, implementation, and maintenance of automated systems that handle data collection, processing, and reporting. These roles often require basic programming skills, familiarity with databases, and an understanding of data workflows. Common tasks may include writing scripts to automate repetitive tasks, monitoring data pipelines, and troubleshooting automation issues. Entry level positions are a great way to gain experience in data engineering and automation technologies, and often serve as a stepping stone to more advanced technical roles.

What are the key skills and qualifications needed to thrive as an entry level data automation professional?

To thrive as an Entry Level Data Automation professional, you need a solid understanding of data analysis, basic programming (such as Python or SQL), and a relevant degree in computer science, information systems, or a related field. Familiarity with automation tools like UiPath, Alteryx, or Microsoft Power Automate, as well as experience with databases and spreadsheets, is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills and qualities ensure accurate automation of processes, efficient data handling, and successful collaboration with technical and non-technical teams.

What are some common challenges faced by entry level data automation professionals, and how can they be addressed?

Entry Level Data Automation professionals often encounter challenges such as learning new automation tools, understanding complex data workflows, and ensuring data quality. Navigating unfamiliar software or scripting languages can be daunting at first, but most teams provide onboarding, mentorship, and access to training resources to help new hires get up to speed. Regular communication with team members and proactively seeking feedback can also help address misunderstandings or gaps in knowledge. Developing strong problem-solving skills and staying curious about automation best practices will make adapting to new projects smoother.

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

AspectEntry Level Data AutomationData Analyst
Required SkillsBasic scripting, data processing, automation toolsData interpretation, statistical analysis, visualization
CertificationsIntroductory courses in data automation, Excel, SQLData analysis certifications, SQL, Excel
Work EnvironmentTech teams, IT departments, automation projectsBusiness units, reporting teams, analytics departments
Industry UsageAutomation of data workflows, repetitive task reductionData interpretation, insights generation, reporting

Entry Level Data Automation focuses on automating data processes using scripting and tools, while Data Analysts interpret data to provide insights. Both roles often require knowledge of SQL and Excel, but Data Analysts typically need stronger analytical and visualization skills. The roles complement each other in data-driven organizations, with automation streamlining workflows and analysts deriving actionable insights.

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Entry Level Data Automation jobs near you
Infographic showing various Entry Level Data Automation job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% In-person job distribution.

[Active Hring] Entry-Level Data Scientist at KEYENCE CORPORATION Itasca, IL

Itasca, IL • On-site

CDL Labor Logistics
Trucking • 51 - 200 employees
Learn more about CDL Labor Logisticsexternal

$66 - $103.28/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

Entry-Level Data Scientist at KEYENCE CORPORATION. Location: Itasca, IL.

Join KEYENCE as an Entry-Level Data Scientist. Location: Keyence U.S. Headquarters – Itasca, IL. Total Compensation (Base + Bonus): $103,283. As a Data Scientist, you’ll be part of the Data Science arm of the Data Analytics and Governance team, helping to drive innovation and efficiency across the business. You’ll develop automation solutions, optimize infrastructure, and build analytical models that inform strategy and uncover new opportunities.

  • Optimize and manage relational databases
  • Maintain and enhance AWS cloud infrastructure
  • Develop automation solutions for complex business challenges
  • Build and deploy analytical models using DataIku
  • Support additional projects and initiatives as assigned
Qualifications
  • Bachelor’s degree in Computer Science, Data Science, Informatics, Statistics, Math, or related field
  • 1–2 years of experience in data science or advanced analytics
  • Experience with AWS cloud infrastructure
  • Proficiency in SQL, Python or R
  • Experience with machine learning model development and optimization
  • Strong organizational skills and attention to detail
  • Self‑motivated with a proactive approach to learning
  • Familiarity with Linux troubleshooting, Scala, HTML, Java, Tableau, SSH, and VPCs is a plus
What We Offer
  • Base Salary: $66,650
  • Bonus Target: $36,633 annually (performance‑based), paid quarterly
  • Benefits: Medical, dental, vision, 401K match, ~4 weeks PTO in first full year
  • Career Growth: Promote‑from‑within culture with base and bonus increases
Why KEYENCE?
  • Recognized by Forbes as one of the World’s Most Innovative Companies
  • A global leader in factory automation and quality assurance solutions
  • Operating profit of over 40% for 25 consecutive years
  • A culture that invests in your success from day one

KEYENCE is an at‑will, Equal Opportunity Employer.

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