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Data Automation Internship Jobs in Georgia (NOW HIRING)

Honeywell

Graduate Service Data Analyst I

Atlanta, GA · Hybrid

Internship or project experience in data analytics or business intelligence. * Curiosity and ... THE BUSINESS UNIT Honeywell Building Automation (BA) is a leading global provider of products ...

Honeywell

Graduate Service Data Analyst I

Atlanta, GA · Hybrid

Internship or project experience in data analytics or business intelligence. * Curiosity and ... THE BUSINESS UNIT Honeywell Building Automation (BA) is a leading global provider of products ...

Honeywell

Graduate Service Data Analyst I

Atlanta, GA · On-site

Internship or project experience in data analytics or business intelligence. * Curiosity and ... THE BUSINESS UNIT Honeywell Building Automation (BA) is a leading global provider of products ...

Inframark

GPS/GIS Technician

Augusta, GA · On-site

... internships count). * Working knowledge of ESRI ArcGIS software (ArcMap, ArcGIS Pro, or ArcGIS ... Basic Python scripting or data automation experience. * Knowledge of CAD software or understanding ...

AGG

Security Automation Intern

Atlanta, GA · On-site

This part-time internship is ideal for students or recent graduates who want hands-on experience ... Support compliance and documentation activities related to data protection and client/security ...

CRH

Junior Data Engineer

Atlanta, GA · On-site

... automation in data pipelines and processes. • Participate in team discussions on continuous ... internships, or professional roles. Technical Skills • Working knowledge of data warehousing ...

CRH

Junior Data Engineer

Atlanta, GA

... automation in data pipelines and processes. • Participate in team discussions on continuous ... internships, or professional roles. Technical Skills • Working knowledge of data warehousing ...

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All JobsData Automation JobsData Automation Internship JobsData Automation Internship Jobs in Georgia

Data Automation Internship information

What is a Data Automation Internship?

A Data Automation Internship is a temporary position, often for students or recent graduates, where you assist organizations in streamlining and automating data processes. Interns typically work with tools and programming languages like Python, SQL, or R to create scripts, workflows, or dashboards that reduce manual data handling. The internship provides hands-on experience with data management, automation tools, and process optimization, helping you develop practical skills for a career in data analysis or engineering. These roles often involve collaborating with data analysts, engineers, and other team members to identify opportunities for automation and improve data efficiency.

What are the key skills and qualifications needed to thrive as a Data Automation Intern, and why are they important?

To thrive as a Data Automation Intern, you need a solid understanding of data analysis, programming (often Python, SQL), and basic knowledge of automation concepts, usually backed by coursework in computer science or a related field. Familiarity with data visualization tools, workflow automation platforms (like Alteryx or UiPath), and version control systems such as Git is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns solve problems and collaborate on team projects. These abilities ensure efficient data processes, accurate results, and seamless integration with broader data initiatives.

What is the difference between Data Automation Internship vs Data Analyst?

AspectData Automation InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields; often requires some experience
Work EnvironmentInternship setting, often in tech or finance companies, focusing on automation projectsFull-time role in various industries, analyzing data to inform business decisions
Employer & Industry UsageUsed by companies developing automated data pipelines and toolsCommon in finance, marketing, healthcare, and other data-driven sectors

While a Data Automation Internship focuses on gaining hands-on experience in automating data processes, a Data Analyst is responsible for interpreting data, creating reports, and supporting decision-making. Internships are entry-level and temporary, whereas Data Analyst roles are more permanent and require a broader skill set.

What are some common challenges faced during a Data Automation Internship, and how can interns effectively overcome them?

During a Data Automation Internship, common challenges include working with unfamiliar automation tools, ensuring data quality, and integrating automated workflows with existing systems. Interns can effectively overcome these by actively seeking guidance from team members, participating in code reviews, and dedicating time to learn the organization's preferred technologies. Regular communication with mentors and asking clarifying questions early helps resolve issues quickly and fosters a supportive learning environment.
What are popular job titles related to Data Automation Internship jobs in Georgia? For Data Automation Internship jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Automation Internship jobs in Georgia look for? The top searched job categories for Data Automation Internship jobs in Georgia are:
What cities in Georgia are hiring for Data Automation Internship jobs? Cities in Georgia with the most Data Automation Internship job openings:
Data Automation Internship jobs near you
Infographic showing various Data Automation Internship job openings in Georgia as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.
Data Analyst - Global Customer Service Operations

Data Analyst - Global Customer Service Operations

Kaleris

Alpharetta, GA • On-site

Full-time

Posted 6 days ago

Job description

Job Description:
Main Job Responsibilities
Data Analytics & Insight Creation
  • Develop, maintain, and enhance dashboards, reports, and analytical tools (using Excel, Power BI, Tableau, and other solutions) to provide real-time operational and financial views into Professional Services activities.

  • Design and generate recurring and ad hoc analyses covering utilization, revenue, bookings, time-to-value, and other core KPIs for PS and related business units.

  • Extract, aggregate, and integrate data from Professional Services Automation (PSA) tools (e.g., Certinia/FinancialForce), Salesforce, NetSuite, and other platforms.

  • Develop exception and trend reports to identify and alert management to anomalies, risks, and opportunities in project delivery and resourcing.

Process & Systems Enhancement
  • Partner with key stakeholders to define, document, and continuously improve the analytics processes supporting PS operations.

  • Contribute to system/process integration initiatives, such as maintaining or enhancing PSA-to-NetSuite data pipelines.

  • Serve as an internal subject matter expert on analytics data sources, tools, and best practices within the PS organization.

Collaboration & Communication
  • Present findings and actionable insights in clear, concise written and verbal form to stakeholders at all organizational levels.

  • Collaborate cross-functionally with Resource Managers, project leaders, regional heads, and Finance/IT to meet evolving data/reporting needs.

  • Support ongoing data quality initiatives and act as an advocate for data-driven decision-making in the Services business.

Additional Responsibilities
  • Prepare regular (weekly, monthly, quarterly) performance reports and presentations for management review.

  • Lead or support process improvement projects aimed at increasing automation and efficiency within the analytics/reporting cycle.

  • Stay current with industry analytics tools and methodologies; recommend enhancements to Kaleris' analytics capabilities as appropriate.

  • Support the roll-out and training for new analytics/reporting tools or processes as needed.

Employment Prerequisites
  • Bachelor's degree in business analytics, information technology, data science, finance, or a related field.

  • 1-2 years (including internships/co-op) of hands-on experience in data analytics, business intelligence, or a similar analytical role (ideally within professional services, SaaS, or consulting environments).

  • Demonstrated proficiency with Excel and at least one major dashboard/reporting tool (e.g., Power BI, Tableau).

  • Experience with data extraction, transformation, and integration across multiple systems (e.g., PSA tools, Salesforce, NetSuite).

  • Ability to define, calculate, and explain business and operational KPIs.

  • Clear and concise communication skills (written and verbal). Ability to present data in an actionable and audience-appropriate manner.

  • Assertive problem-solving and analytical skills, with high attention to detail.

  • Familiarity with Professional Services Automation tools (preferably Certinia/FinancialForce) and Salesforce is strongly preferred.

  • Ability to work collaboratively in a multi-cultural, geographically distributed team environment.

Nice to Have
  • Experience in Resource management

  • Experience in process mapping, data governance, or business process improvement.

  • Exposure to automation technologies (RPA, low-code platforms, etc.).

  • Familiarity with NetSuite or other financial/ERP platforms.

  • Experience supporting globally distributed service or operations teams.

This role is ideal for an early-career analytics professional looking to shape decision-making and impact in a dynamic, high-performance services operation, with significant exposure to process and systems transformation.
Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply