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Data Analytics Apprentice Jobs in Ohio (NOW HIRING)

The worlds biggest companies trust T5 with their data center operations. At T5, our success is ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

The worlds biggest companies trust T5 with their data center operations. At T5, our success is ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

The worlds biggest companies trust T5 with their data center operations. At T5, our success is ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

The world's biggest companies trust T5 with their data center operations. At T5, our success is ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

The worldas biggest companies trust T5 with their data center operations. At T5, our success is ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Sales Apprentice

Dayton, OH · On-site

$60K - $70K/yr

Provide administrative support, such as data entry and managing customer information. * Research ... Analytical and problem-solving skills highlight DMG MORI product advantages. * Functionally ...

Support the Dealer Data Management team in daily operations. * Manage the eBilling mailbox ... You are proficient in MS Office programs and have analytical skills. * You are responsible and not ...

Paid Apprenticeships are available for those interested in starting a new career path. Continuing ... Analytical and problem-solving skills needed. * Strong written communication and verbal ...

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Data Analytics Apprentice information

What are the key skills and qualifications needed to thrive as a data analytics apprentice?

To thrive as a Data Analytics Apprentice, you need a solid understanding of statistics, data manipulation, and basic programming, often supported by foundational coursework or a related degree. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret data and share insights clearly. These skills are vital for transforming raw data into actionable information, supporting decision-making, and learning advanced analytics techniques on the job.

What types of projects and tasks can I expect to work on as a data analytics apprentice?

As a Data Analytics Apprentice, you will typically work on a range of projects such as cleaning and organizing datasets, creating reports and visualizations, and conducting basic analyses to uncover trends or patterns. You'll often collaborate with data analysts, engineers, and business teams to support decision-making processes. Expect to use tools like Excel, SQL, or Tableau, and gradually take on more complex assignments as your skills develop. This hands-on experience is designed to build foundational skills and prepare you for more advanced data roles in the future.

What is the difference between Data Analytics Apprentice vs Data Analyst?

AspectData Analytics ApprenticeData Analyst
Required CredentialsOften entry-level, some may have a degree or certification in data-related fieldsTypically requires a degree in data science, statistics, or related fields; certifications like Google Data Analytics are common
Work EnvironmentInternship or trainee position, often in a corporate or consulting settingFull-time role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies to train and evaluate potential future analystsStandard role for analyzing data, creating reports, and supporting decision-making

The main difference is that a Data Analytics Apprentice is an entry-level trainee position designed for learning and development, while a Data Analyst is a full-fledged professional responsible for analyzing data and providing insights. Apprenticeships often serve as a stepping stone toward becoming a Data Analyst.

What does a data analytics apprentice do?

A Data Analytics Apprentice is an entry-level professional who supports data analysis tasks while learning on the job. They assist with collecting, cleaning, and interpreting data to help organizations make informed decisions. Apprentices often work under the supervision of experienced data analysts, using tools like Excel, SQL, and basic data visualization software. Their responsibilities may include creating reports, identifying trends, and helping with data-driven projects as they develop their skills.
What are the most commonly searched types of Data Analytics jobs in Ohio? The most popular types of Data Analytics jobs in Ohio are:
What cities in Ohio are hiring for Data Analytics Apprentice jobs? Cities in Ohio with the most Data Analytics Apprentice job openings:

Information Technology Apprentice (Data Services)

Ohio Department of Taxation

Columbus, OH

$16.50 - $21.25/hr

Full-time

Posted 9 days ago


Job description

What you'll do:

Under direct guidance & supervision, works toward acquiring the knowledge, skills, & abilities required to perform entry-level duties within an assigned information technology program area team: 

  • Serves as an apprentice to designated staff learning core information technology competencies
  • Attends training courses relevant to assigned information technology program area
  • Assists assigned information technology program area team with daily tasks such as enterprise backup configuration, server maintenance, server patching, complete customer requests, & server monitoring
  • Learns IT Change Management policies & procedures
  • Assists with running reports for billing, backup status reporting, SLAs, & monitoring
  • Builds foundational knowledge of data backup & protection concepts & strategies including WORM, 3-2-1, & others
  • Leverages appropriate resources to build problem solving skills
  • Learns foundational concepts of scripting

Performs other related duties as needed including: 

  • Representing the agency & assigned program area to internal & external customers
  • Scheduling meetings, preparing agendas, & taking meeting notes
  • Providing project support for enterprise backup services projects
     

Minimum Qualifications:

1 course or 2 months experience in Information Systems/Information Technology, or a related field including but not limited to: Software Engineering/Development, Data Analytics/Business Intelligence, Database Administration, Network, IT Security and Help Desk/Customer Support 
-Or equivalent of Minimum Class Qualifications for Employment noted above. 
Job Skills: Information Technology


Knowledge:

  • Computer hardware & software
  • Ticketing software (e.g., Service Now)*
  • Customer Service techniques & standards*
  • State IT policies, procedures, & applicable laws*
  • Operations & processes for diagnosing common or recurring system problems*
  • Database procedures used for querying prior incidents to gather information*
  • Enterprise Backup & Data Protection solutions (Physical & Virtual server, Databases, enterprise backup server management, storage management, disaster recovery planning)* 
  • Incident response & handling methodologies*
  • Principal methods, procedures, & techniques of gathering information & producing, reporting, & sharing information*
  • Organization's core business/mission processes*
     

Skills:

  • Technical writing & documentation practices (e.g., standard operating procedures, training documents, workflow diagrams) *
  • Reading/verbal comprehension (i.e., comprehend & apply written & verbal instructions)
  • Operating PC Hardware & Software (e.g., MS Word, Excel, PPT, Outlook)
  • Critical thinking (i.e., impact analysis, troubleshooting)
  • Conducting open-source research for troubleshooting network & client-server issues*
  • Basic operation of computers
  • Basic Scripting capabilities*
  • Data protection strategies*

Abilities: 

  • Communication (e.g., Oral, Written, Active Listening)
  • Problem sensitivity/problem solving
  • Time Manage (e.g., organization & prioritization)
  • Active learning
  • Match the appropriate knowledge repository technology for a given application or environment*
  • Accurately define incidents, problems, & events in trouble ticketing system*

*Developed after employment