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Entry Level Data Automation Jobs (NOW HIRING)

Dashboard design, KPI reporting, automation Data Engineering Track: * Python/Java, Spark, Airflow, Databricks * ETL architecture, Snowflake, S3, BigQuery, Redshift * Infrastructure-as-code and cloud ...

Dashboard design, KPI reporting, automation Data Engineering Track: * Python/Java, Spark, Airflow, Databricks * ETL architecture, Snowflake, S3, BigQuery, Redshift * Infrastructure-as-code and cloud ...

Dashboard design, KPI reporting, automation Data Engineering Track: * Python/Java, Spark, Airflow, Databricks * ETL architecture, Snowflake, S3, BigQuery, Redshift * Infrastructure-as-code and cloud ...

Infrastructure Engineer

Spartanburg, SC

$105K - $138K/yr

Administrators on the team provide entry-level data center support, and the Infrastructure Engineer ... Develop and maintain tooling and automation supporting certificate and key lifecycle management.

Infrastructure Engineer

Spartanburg, SC · On-site

$105K - $138K/yr

Administrators on the team provide entry-level data center support, and the Infrastructure Engineer ... Develop and maintain tooling and automation supporting certificate and key lifecycle management.

ASRC Federal Technical Services is seeking six (6) GIS Technicians, (all Entry-level) to join our ... Will maintain daily production schedule and work with customized data automation tools and ...

Exposure to financial systems integration or data automation initiatives Education and/or ... S. college or university, or equivalent foreign institution. * Entry level role requiring 1-3 years ...

This is an entry level role. Internship or Co-op experience with warehouse operations, and ... Demonstrated proficiency in Excel for conducting in-depth modeling, data analysis and creating ...

This is an entry level role. Internship or Co-op experience with warehouse operations, and ... Demonstrated proficiency in Excel for conducting in-depth modeling, data analysis and creating ...

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Entry Level Data Automation information

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

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 are entry level data automation jobs?

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 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.

More about Entry Level Data Automation jobs
What cities are hiring for Entry Level Data Automation jobs? Cities with the most Entry Level Data Automation job openings:
What are the most commonly searched types of Data Automation jobs? The most popular types of Data Automation jobs are:
What states have the most Entry Level Data Automation jobs? States with the most job openings for Entry Level Data Automation jobs include:
What job categories do people searching Entry Level Data Automation jobs look for? The top searched job categories for Entry Level Data Automation jobs are:
Infographic showing various Entry Level Data Automation job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Entry Level Operations Data Analyst

Benda Infotech

Chicago, IL

$77K - $82K/yr

Full-time

Posted 7 days ago


Job description

Role Summary

We are seeking an Entry Level Operations Data Analyst with strong analytical skills, attention to detail, and a problem-solving mindset. This role will support business operations and decision-making by transforming raw data into actionable insights. The Operations Data Analyst will work with large and complex data sets, develop reports and dashboards, and contribute to data quality, automation, and documentation initiatives across the organization.

Key Responsibilities
  • Interpret and analyze structured data using industry best practices to support operational and business needs
  • Identify trends, patterns, and anomalies in complex data sets and clearly communicate findings to stakeholders
  • Extract, cleanse, validate, and transform data from primary and secondary data sources
  • Design, develop, and maintain business intelligence dashboards and recurring operational reports
  • Support the development and execution of data strategies that improve data quality, consistency, and usability
  • Collaborate with operations, technology, and business teams to ensure accurate and reliable reporting
  • Prepare and maintain technical documentation, data definitions, and process documentation
  • Assist in identifying opportunities for process improvements and operational efficiencies through data analysis
Qualifications & RequirementsMinimum Qualifications
  • 0–2 years of hands-on experience in data analytics, reporting, operations support, or data automation
  • Experience preparing, blending, and analyzing data from multiple sources
  • Proficiency in:
    • Python, including data analysis libraries
    • SQL for querying relational databases
    • Power BI for dashboard development and data visualization
    • Microsoft Excel (Advanced), including formulas, pivot tables, and data modeling
  • Solid understanding of database concepts and data structures
  • Strong written and verbal communication skills, with the ability to translate analytical results into clear business insights
  • Demonstrated ability to manage multiple priorities, meet deadlines, and work effectively in a fast-paced environment
Preferred Qualifications
  • Internship, academic project, or professional experience in operations analytics, banking, financial services, or a highly regulated industry
  • Familiarity with data governance, data quality controls, or reporting concepts
  • Experience documenting workflows, business rules, and analytical methodologies
  • Exposure to automation or process improvement initiatives related to operations or analytics
  • Ability to collaborate effectively with both technical and non-technical stakeholders