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Student Shadow Data Analytics Jobs in Missouri (NOW HIRING)

Boeing

Data Science and Analytics Manager

Hazelwood, MO · On-site

$141K - $190K/yr

Data Science and Analytics Manager Company: The Boeing Company Boeing Defense, Space and Security ... The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their ...

Boeing

Data Science and Analytics Manager

Hazelwood, MO

$141K - $190K/yr

Data Science and Analytics Manager Company: The Boeing Company Boeing Defense, Space and Security ... The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their ...

Boeing

Data Science and Analytics Manager

Hazelwood, MO

$141K - $190K/yr

Data Science and Analytics Manager Company: The Boeing Company Boeing Defense, Space and Security ... The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their ...

Varsity Tutors

Data Science Tutor

Columbia, MO · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Kansas City, MO · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

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Student Shadow Data Analytics information

What is a student shadow data analytics?

Student Shadow Data Analytics refers to the process of collecting and analyzing data about students as they are observed or 'shadowed' through their daily academic activities. This analysis helps educators and administrators understand student behaviors, learning patterns, and engagement levels. Insights from this data can be used to improve teaching strategies, personalize learning experiences, and identify areas where students may need additional support. Student shadowing combined with data analytics provides a comprehensive view of the student experience in educational settings.

What types of projects or tasks can I expect to work on as a student shadow in data analytics?

As a Student Shadow in Data Analytics, you will typically observe and assist with projects such as data collection, cleaning, and visualization. You might help analyze datasets to uncover trends or support team members in preparing reports and presentations for stakeholders. This role often involves collaborating closely with experienced data analysts and learning how to use industry-standard tools like Excel, SQL, or Python. It's a great opportunity to see how real-world business problems are solved using data-driven approaches.

What is the difference between Student Shadow Data Analytics vs Data Analyst?

AspectStudent Shadow Data AnalyticsData Analyst
Required CredentialsTypically enrolled in a related degree program, no formal certification requiredBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau often preferred
Work EnvironmentObservational role, often unpaid or internship-based, in educational or entry-level settingsFull-time professional role in corporate, finance, healthcare, or tech industries
Employer & Industry UsageEducational institutions, internships, entry-level projectsBusinesses, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between Student Shadow Data Analytics and Data Analyst lies in experience, credentials, and work environment. Student Shadow roles are typically observational or internship-based, focusing on learning, while Data Analysts are full-time professionals performing data analysis tasks in various industries.

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

To thrive as a Student Shadow in Data Analytics, you should have a foundational understanding of statistics, data interpretation, and basic programming, often gained through coursework or related academic projects. Familiarity with tools such as Microsoft Excel, SQL, and introductory data visualization software (like Tableau or Power BI) is typically expected. Eagerness to learn, attention to detail, and strong communication skills help you stand out in this observational and learning-focused role. These skills are crucial because they enable you to quickly absorb complex concepts, contribute to discussions, and make the most of your shadowing experience in a real-world data analytics environment.
What are popular job titles related to Student Shadow Data Analytics jobs in Missouri? For Student Shadow Data Analytics jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Student Shadow Data Analytics jobs in Missouri look for? The top searched job categories for Student Shadow Data Analytics jobs in Missouri are:
What cities in Missouri are hiring for Student Shadow Data Analytics jobs? Cities in Missouri with the most Student Shadow Data Analytics job openings:
Student Shadow Data Analytics jobs near you

Full-Time Teaching Faculty in Managerial Statistics and Data Analytics - Business School

Washington University in St Louis Danforth Campus

Saint Louis, MO • On-site

$42K - $58K/yr

Full-time

Re-posted 13 days ago

Job description

Description
The Olin Business School is seeking applications from those qualified for a full-time teaching faculty position. The major responsibilities will include teaching a negotiable number of courses that will focus on managerial statistics and data analytics in the school's various programs, such as undergraduate, business administration (MBA and PMBA), and specialized masters.
JOB QUALIFICATIONS: Candidates should have a doctoral degree (preferred) in statistics, business analytics, industrial engineering, operations research, economics, or other related discipline.
SALARY: Competitive and commensurate with experience, academic qualifications, and teaching load.
APPOINTMENT: This is a full-time faculty appointment in the teaching area of Data Analytics.
Qualifications
Diversity and Inclusion are core values at Washington University, and the strong candidate will demonstrate the ability to create inclusive classrooms and environments in which a diverse array of students can learn and thrive.
Washington University seeks an exceptionally qualified and diverse faculty; women, minorities, protected veterans, and candidates with disabilities are strongly encouraged to apply.
Application Instructions
Faculty will be available to meet with candidates at 2018 International Conference on Information Systems, San Francisco, California, USA, December 13-16, 2018. Suitable candidates who are not attending the conference will be contacted for a telephone or Skype interview. To assure that the review committee has immediate access to your application materials, you are strongly encouraged to apply using the Interfolio position url: http://apply.interfolio.com/58596. Candidates should submit a cover letter of interest, vita, teaching statement, and evidence of teaching qualifications, such as course evaluations, by January 31, 2019. The review of applications will begin immediately, but the committee will continue to accept applications until the position is filled.
PLEASE NOTE: UNTIL YOU SUBMIT YOUR APPLICATION AND RECEIVE A CONFIRMATION EMAIL, YOUR APPLICATION WILL NOT BE VISIBLE TO OUR RECRUITING STAFF. WE DO NOT HAVE THE ABILITY TO SEE INCOMPLETE APPLICATIONS OR THEIR ASSOCIATED MATERIALS.

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