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Entry Level Automotive Data Analyst Jobs in Ohio

SynergisticIT

Data Analyst (Entry Level)

Columbus, OH · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. Who ...

SynergisticIT

Entry Level Data Analyst

Columbus, OH · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Neighborhood Family Practice

Data Analyst

Cleveland, OH · On-site

$70K - $75K/yr

Experience: Entry-level EMR reporting and analyzing clinical data experience * Skills: Proficient in Microsoft Excel, PowerPoint, Business Objects, SQL, Tableau, and Power BI. The ideal candidate ...

NEIGHBORHOOD FAMILY PRACTICE

Data Analyst

Cleveland, OH · On-site

$70K - $75K/yr

Experience: Entry-level EMR reporting and analyzing clinical data experience * Skills: Proficient in Microsoft Excel, PowerPoint, Business Objects, SQL, Tableau, and Power BI. The ideal candidate ...

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Entry Level Automotive Data Analyst information

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

To thrive as an Entry Level Automotive Data Analyst, you need a solid background in data analysis, statistics, and basic automotive industry knowledge, often supported by a bachelor’s degree in a related field. Familiarity with tools like Microsoft Excel, SQL, Python, and data visualization platforms such as Tableau is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data and collaborate with cross-functional teams. These skills and qualities are essential for transforming automotive data into actionable insights that drive business decisions and improve operations.

What are some common challenges faced by entry level automotive data analysts, and how can they overcome them?

Entry level automotive data analysts often encounter challenges such as working with large, complex datasets and learning to use specialized automotive software or analytics tools. They may also need to quickly understand automotive industry terminology and trends to provide meaningful insights. Overcoming these challenges typically involves proactive learning, seeking guidance from more experienced team members, and participating in training sessions. Collaborating closely with engineers, product managers, and other analysts can also help new analysts gain context and confidence in their analyses.

What does an Entry Level Automotive Data Analyst do?

An Entry Level Automotive Data Analyst is responsible for collecting, processing, and interpreting data related to the automotive industry. This may include analyzing vehicle performance, sales trends, customer preferences, or manufacturing processes. They use statistical tools and software to identify patterns and provide actionable insights to help businesses make informed decisions. Entry level analysts often work under the supervision of senior analysts and collaborate with other departments to support data-driven strategies.

What is the difference between Entry Level Automotive Data Analyst vs Automotive Data Specialist?

AspectEntry Level Automotive Data AnalystAutomotive Data Specialist
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Computer Science, or related
Work EnvironmentOffice-based, automotive companies, dealerships, or suppliersData centers, automotive firms, or consulting agencies
Employer & Industry UsageEntry-level role in automotive industry, focusing on data collection and analysisSpecialized role handling complex data projects within automotive sector

Entry Level Automotive Data Analysts typically focus on collecting, cleaning, and analyzing automotive data to support decision-making. Automotive Data Specialists often handle more complex data tasks, including modeling and advanced analytics. Both roles require similar educational backgrounds but differ in experience and project complexity, with analysts being more entry-level and specialists more advanced.

What are the most commonly searched types of Automotive Data Analyst jobs in Ohio? The most popular types of Automotive Data Analyst jobs in Ohio are:
What are popular job titles related to Entry Level Automotive Data Analyst jobs in Ohio? For Entry Level Automotive Data Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Entry Level Automotive Data Analyst jobs in Ohio look for? The top searched job categories for Entry Level Automotive Data Analyst jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Automotive Data Analyst jobs? Cities in Ohio with the most Entry Level Automotive Data Analyst job openings:
Entry Level Automotive Data Analyst jobs near you
Infographic showing various Entry Level Automotive Data Analyst job openings in Ohio as of May 2026, with employment types broken down into 81% Full Time, 5% Part Time, and 14% Contract. Highlights an 95% In-person, and 5% Remote job distribution.
Data Analyst (Entry Level)

Data Analyst (Entry Level)

SynergisticIT

Columbus, OH • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Opportunity At SynergisticIT

SynergisticIT wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need.

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. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply.

Who Should Apply: Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. Candidates who are serious about their future in the IT industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes. Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement. Candidates who lack experience, have had a break in careers, lack technical competency, different visa candidates who want to get employed and settle down in the USA.

Please also check the below links: Synergisticit Pics /Salaries of Successful Candidates

Why do tech companies not hire recent computer science graduates? Technical skills or experience? Which one is important to get a job? SynergisticIT If not a match candidates can opt for skill enhancement.

Required Skills For Java/Software Programmers:
  • Bachelor's degree or master's 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
  • Knowledge of core Java, JavaScript, C++ or software programming
  • Spring boot, microservices and REST API's experience
  • Excellent written and verbal communication skills
Required Skills For Data Science/Machine Learning
  • Bachelor's degree or master's 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
  • Knowledge of statistics, Python, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, text mining, Tableau, time series analysis

Please understand skills are required by clients for selection even if it's a junior or entry-level position. The additional skills are the only way a candidate can be picked by clients. No third-party candidates or C2C candidates. Please understand skills are required by clients for selection even if it's a junior or entry-level position. The additional skills are the only way a candidate can be picked by clients. Please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

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