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Advanced Analytics Jobs Near Me

AXIS Capital

Head of Insights and Analytics

London, OH · On-site

Advanced Analytics, Data Science & AI Delivery: Define business priorities, success metrics, governance requirements, and expected outcomes for advanced analytics and AI initiatives. Execute with the ...

J.P. Morgan

Quant Analytics Manager

Columbus, OH · On-site

Drive advanced analytics delivery: Provide hands-on leadership designing and delivering sophisticated analytical solutions, translating business needs into data strategies, approaches, and outputs.

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

Ensure high data quality, reliability, and performance across pipelines AI & Advanced Analytics Enablement * Engineer datasets optimized for machine learning and AI models * Partner with data ...

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As of Aug 26, 2026, the average yearly pay for advanced analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

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Advanced Analytics jobs near you
A map of the United States highlighting the number of Advanced Analytics job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Advanced Analytics job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Adjunct Faculty, Data Analytics (Advanced Analytics)

Franklin University

Columbus, OH • On-site, Remote

Part-time

Posted 2 days ago

New

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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