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Remote Data Analytics Graduate Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Health IT Data Analyst I

Continental, OH · Remote

$70K - $75K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Bachelor's degree in Data Analytics, Statistics, Information Systems, or related discipline.

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Develop data analytics and visualizations by applying proven, industry-standard data science ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

RR Donnelley

Lead Data Analyst

Westlake, OH · On-site +1

Partner with client leaders to co-create marketing analytics strategies that support ... Graduate Degree (Preferred) Experience: * 9 years experience in Advanced Marketing or Product ...

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

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Remote Data Analytics Graduate information

What is a remote data analytics graduate?

A Remote Data Analytics Graduate is someone who has recently completed a degree or certification in data analytics and works remotely, often from home or another non-office location. Their role typically involves collecting, processing, and analyzing data to help organizations make informed decisions. They use various tools and software to interpret data trends and present findings, collaborating with teams virtually. This position is ideal for graduates who are comfortable working independently and have strong analytical and technical skills.

What skills and qualifications are needed to thrive as a remote data analytics graduate?

To thrive as a Remote Data Analytics Graduate, you need a solid foundation in statistics, data analysis, and programming languages such as Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), spreadsheet software, and cloud-based analytics platforms is often expected. Strong problem-solving skills, attention to detail, and effective communication are vital for presenting insights and collaborating remotely. These skills are crucial for extracting actionable insights from data and contributing effectively to distributed teams.

What are common challenges faced by remote data analytics graduates in their first role, and how can they overcome them?

Remote Data Analytics Graduates often encounter challenges such as adapting to virtual collaboration, managing time effectively without in-person oversight, and learning to communicate complex data insights clearly through digital channels. To overcome these, it's helpful to proactively schedule regular check-ins with mentors or team members, utilize collaborative tools like Slack or Microsoft Teams, and seek feedback on presentations and reports. Building strong self-management habits and engaging in online data analytics communities can also enhance both technical and communication skills while working remotely.

What is the difference between Remote Data Analytics Graduate vs Remote Data Analyst?

AspectRemote Data Analytics GraduateRemote Data Analyst
Required CredentialsDegree in Data Science, Analytics, or related field; entry-level certificationsExperience with data tools; often requires certifications like SQL, Python, or Tableau
Work EnvironmentTypically entry-level, internship, or training roles; supervised environmentFull-time remote position; independent work with team collaboration
Employer & Industry UsageHiring companies seeking fresh talent; industry-wide entry rolesEstablished companies; industries like finance, marketing, tech

The main difference is that a Remote Data Analytics Graduate is an entry-level role suited for recent graduates, focusing on learning and development. In contrast, a Remote Data Analyst is a more experienced position requiring some practical skills and experience, often involving more independent work and project responsibilities.

What are the most commonly searched types of Data Analytics Graduate jobs in Ohio?

The most popular types of Data Analytics Graduate jobs in Ohio are:

What are popular job titles related to Remote Data Analytics Graduate jobs in Ohio?

For Remote Data Analytics Graduate jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Graduate jobs in Ohio look for?

The top searched job categories for Remote Data Analytics Graduate jobs in Ohio are:

What cities in Ohio are hiring for Remote Data Analytics Graduate jobs?

Cities in Ohio with the most Remote Data Analytics Graduate job openings:

Remote Data Analytics Graduate jobs near you

Adjunct Faculty, Data Analytics (Advanced Analytics)

Columbus, OH • On-site, Remote

Franklin University
Colleges, Universities, and Professional Schools • 201 - 500 employees
Learn more about Franklin Universityexternal

Part-time

Posted 4 days ago

Job description

Franklin University, a private, independent, accredited, not-for-profit University located in Columbus, Ohio invites applicants for its Adjunct Faculty, Advanced Analytics position during our Spring 2027 term. The Adjunct Faculty role includes primary responsibility for providing quality instruction and maintaining a positive learning environment with an emphasis placed on teaching, supporting and evaluating students.
Position Summary:
This post is for a part-time adjunct faculty position to teach a graduate-level course, Advanced Analytics, in an online format (12 weeks). This course examines the data analysis process with the emphasis of quantitative and qualitative findings from data. Students will develop skills in data analytics and predictive analytics that will allow them to develop algorithmic methods and use them along with popular industry software for data-driven solutions.
The faculty should develop PowerPoint slides, lesson plans, and demonstrations and should easily be able to provide examples from a number of fields. The faculty should be knowledgeable and experienced with the statistical analysis methods and the use of various analytical tools such as R, and Python, and be able to conduct demonstrations. In addition to the educational qualifications, the candidate should possess excellent communication skills, work ethics, and passion to teach Analytics/Statistics to busy working adult students with flexibility and integrity.
Duties and Responsibilities:
  • Teaching a graduate-level analytics/statistics course according to the curriculum, content, and outcomes as specified by the Lead Faculty. The class sessions will be held online.
  • Monitoring and advising students on course-related work, prompt correspondence via email, facilitation of course-related discussions, holding regular office hours and other assigned responsibilities corresponding to the faculty teaching assignment.
  • Timely assessment and evaluation of student assignments including exams, homework assignments, quizzes, projects, discussions, and other activities related to the course.
  • Participation in adjunct MATH/DATA faculty meetings/retreats and associated departmental activities as identified by the Lead Faculty for the assigned course, and responding to Lead Faculty's requests related to course components.

Minimum Requirements/Qualifications:
  • A doctoral degree in Computer Information Systems, Information Systems, Information Technology, Computer Science, Data Science, Statistics, Mathematics or a closely related discipline is required.
    • If the degree is in a related field, at least 18 graduate credit hours should be in the aforementioned fields.
  • At least three years of online teaching experience in higher education.
  • Be skilled in video conferencing platforms
  • Be proficient in online learning management systems
  • Have knowledge and experience with several analytics software such as Tableau, R, and Python.

Preferred Skills and Characteristics:
  • A doctoral degree in Engineering, Economics or Business with at least 18 credit hours in the field of Mathematics, Data Science, or Statistics, or doctoral degree in these fields with a graduate certificate in Data Science.
  • At least 5 years of industry experience with specific projects that are targeting the course outcomes. Candidates with experience in data science, data analytics, data visualization, and machine/statistical learning are preferred.
  • Any industry certifications in the field of data science or analytics

About Franklin University
Founded in 1902, Franklin University has built its reputation on removing barriers to higher education for ambitious adults who must balance their educational goals with other commitments. Accredited and nonprofit, Franklin has earned its long-standing reputation as an innovator in online education. The University offers applied, in-demand undergraduate, master's and doctorate programs that enable adult learners to achieve their educational and professional goals. From entrepreneurs to CEOs, more than 50,000 Franklin alumni can be found around the world contributing to the communities in which they live and work.
Franklin University is committed to creating a respectful and inclusive educational and workplace environment. Franklin does not discriminate on the basis of age, religion, race, ethnicity, color, national origin, ancestry, immigration status, sex, sexual orientation, gender identity or expression, marital or familial status, disability, or veteran or military status.
We embrace diversity and strive to create an environment where students, faculty and staff feel a sense of belonging. We recognize that our collective potential can only be realized when difference is valued, equal access to opportunity is sought, and inclusion is practiced.
We are not able to hire in California, New York, Massachusetts, Montana, or the City of Philadelphia.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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