1

Data Analytics Jobs in Point Pleasant, WV (NOW HIRING)

POOL: Data Analytics Instructor

Athens, OH · On-site

$19.75 - $25/hr

Data Analytics Instructor Applications Accepted From Public: Open to the Public Special Instructions to Applicants Instruction to occur in the Fall, 2026; Spring 2027; or Fall 2027 (as needed.) Data ...

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. American Modern ...

Bachelor's degree (or higher) in Engineering (Industrial Eng. preferred), Supply Chain Management, Computer Science, Data Analytics or Business. * 0-3 years relevant work experience (production ...

Bachelor's degree (or higher) in Engineering (Industrial Eng. preferred), Supply Chain Management, Computer Science, Data Analytics or Business. * 0-3 years relevant work experience (production ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... data about product placement and inventory information. To do this, you would spend the majority of ...

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... data about product placement and inventory information. To do this, you would spend the majority of ...

Develops & implements treatment programs for residents based on diagnosis, interactions/interviews, data analysis (e.g. behavior data and results of administered psychological tests), recommendations ...

New

Develops & implements treatment programs for residents based on diagnosis, interactions/interviews, data analysis (e.g. behavior data and results of administered psychological tests), recommendations ...

New

next page

Showing results 1-20

Data Analytics information

See Point Pleasant, WV salary details

$22

$49

$86

How much do data analytics jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for data analytics in Point Pleasant, WV is $49.89, according to ZipRecruiter salary data. Most workers in this role earn between $40.10 and $56.54 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What job categories do people searching Data Analytics jobs in Point Pleasant, WV look for?

The top searched job categories for Data Analytics jobs in Point Pleasant, WV are:

What cities near Point Pleasant, WV are hiring for Data Analytics jobs?

Cities near Point Pleasant, WV with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Point Pleasant, WV as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $103,778 per year, or $49.9 per hour.

POOL: Data Analytics Instructor

Ohio University

Athens, OH • On-site

$19.75 - $25/hr

Full-time, Part-time

Retirement

Re-posted 3 days ago


Ohio University rating

7.1

Company rating: 7.1 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

414th of 627 rated colleges and universities


Job description

Posting Details
Applications will be accepted until midnight (Eastern Time Zone) on the 'Posting End Date' shown below.
Position Information
Job Title
POOL: Data Analytics Instructor
Applications Accepted From
Public: Open to the Public
Special Instructions to Applicants
Instruction to occur in the Fall, 2026; Spring 2027; or Fall 2027 (as needed.)
Data analytics faculty/instructors will be paid throughout the semester according to the rates for part-time and overload teaching in University College (currently $1224/credit hour, with additional funds for training attendance and supervision of learning community leaders, when applicable.)
If you are a current employee at Ohio University, please e-mail your interest to OHIO University College at university.college@ohio.edu.
This position is eligible for the following benefits:
sick leave and retirement.
Posting Number
20163042F
Job Description
University College offers several courses for students pursuing a successful completion of their degree(s). A few of the courses offered are:
1) Data Analytics courses (DATA 2100, 3510) introduce the fundamental concepts, principles, and tools of data analytics. They also teach key principles of analytic design and useful visualization techniques for the exploration and presentation of data.
2) Study Skills, Time Management, and Personal Finance courses (UC 1100, 1070, 1101) focus on the specific knowledge and skills necessary for students to be successful at the college level.
Instructors:
1) serve as a role model, referral, and resource to students;
2) provide contact information to students; communicating availability and encouraging students to contact them for assistance;
3) in case of an emergency or planned absence, make arrangements for a substitute instructor;
4) provide a complete syllabus on the first meeting of class and grade assignments in a timely manner;
5) submit final grades online by the university deadline; and
6) participate in assessment processes to determine efficacy of the courses and course materials.
Minimum Qualifications
Master's Degree
Preferred Qualifications
Educational/work experience related to the course(s).
Department
University College, Dean's Office
Pay Rate
Total Compensation Estimator (For Full-Time Benefits Eligible Employees)
User Selection Field
Job Open Date
01/30/2026
Posting Close Date
Applications to this pool will be considered to fill part-time, non-tenure track, non-benefits eligible instructor positions as student demand dictates on the Athens campus. Position will remain open until filled.
Employment Type
intermittent regular
Job Category
Instructor
Months
seasonal
Planning Unit
University College
Work Schedule
Campus
Athens, Ohio
Applicants may contact this person if they have questions about this position.
Nelli Gurbanova, gurbanova@ohio.edu
Non-Discrimination Statement
Ohio University is proud of its rich history and as part of our ongoing efforts to provide and support a transformative learning experience, we affirm our commitment to fostering a welcoming and respectful workforce and community. All qualified applicants are encouraged to apply and will receive consideration free from discrimination on the basis of age, ancestry, color, disability, ethnicity, gender, gender identity or expression, genetic information, military service or veteran status, national origin, pregnancy, race, religion, sex, sexual orientation, status as a parent or foster parent, or any other bases under the law. Ohio University is an equal access/equal opportunity employer.
Clery Act Crime Statistics
Clery Act Statistics
To view the Clery Act Annual Safety and Fire Report Click Here!

What Ohio University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom