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Student Shadow Data Analytics Jobs in Gary, IN (NOW HIRING)

Network Data Strategist

Chicago, IL ยท On-site

$125K - $161K/yr

Provide strategic data analysis to the Chief of Schools to improve student outcomes and the effectiveness of schools, programs, and district initiatives. * Identify implications of school and network ...

New

Data Analysis Tutor

Valparaiso, IN ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Chicago, IL ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Oak Lawn, IL ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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Showing results 1-20

Student Shadow Data Analytics information

See Gary, IN salary details

$32.8K

$81.1K

$139.3K

How much do student shadow data analytics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for student shadow data analytics in Gary, IN is $81,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $96,000.00 per year, depending on experience, location, and employer.

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 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 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.

How to become a student shadow data analyst with no experience free?

To become a student shadow data analyst with no experience, start by learning basic data analysis skills using free online resources such as tutorials on Excel, SQL, and Python. Seek opportunities to observe professionals through internships, volunteering, or mentorship programs, and build a portfolio of simple projects to demonstrate your skills. Gaining familiarity with data visualization tools like Tableau or Power BI can also enhance your prospects.

What job categories do people searching Student Shadow Data Analytics jobs in Gary, IN look for?

The top searched job categories for Student Shadow Data Analytics jobs in Gary, IN are:

What cities near Gary, IN are hiring for Student Shadow Data Analytics jobs?

Cities near Gary, IN with the most Student Shadow Data Analytics job openings:

Infographic showing various Student Shadow Data Analytics job openings in Gary, IN as of August 2026, with employment types broken down into 28% Internship, and 72% Full Time. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $81,118 per year, or $39 per hour.

Associate Principal, Data Analytics Engineering

National Black MBA Association

Chicago, IL โ€ข On-site

$124 - $141/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Duties

Expand OCCโ€™s analytics capabilities by making data accessible and usable to analysts throughout the organization. Act as an active contributor to the design and build of our internal analytics data warehouse and the maintenance of the supporting extract, load, and transform processes. Become an expert on OCCโ€™s data sets and support teams across the organization in successfully harnessing this data. Drive the team responsible for gathering requirements and designing solutions that address the problem at hand while also anticipating yet-to-be-asked analytical questions, as well as collaborating with team members in defining and owning processes for developing and maintaining our analytics platform to meet the companyโ€™s security and IT standards. Design and implement cloud data warehouse infrastructure for internal facing analytics in collaboration with OCCโ€™s Data Platform and other teams. Develop a batch process data ingestion framework for extraction from systems and loading to target location(s). Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and dashboard development. Maintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processes. Collaborate with DBAs to design access controls around our analytics warehouse to meet business and internal governance needs. Create documentation and testing to ensure data is accurate and easily understandable. Use IaC tools like Terraform and Ansible to provision AWS cloud hardware and software, enabling teams to perform model development and run backtesting. Leverage Python frameworks, data modeling, shell programming and configuration as code to build SQL ETL (Extract Transform Load) pipelines to serve accurate business-oriented datasets to business users. Implement DevOps practices like containerizing app code with Docker and Continuous Integration pipelines with tools like Jenkins and JFrog Artifactory to ensure high quality code. Integrate services securely with HashiCorp Vault to manage secrets, and orchestrate data intensive applications with orchestrators like Automic UC4 and Apache Airflow. Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources. Discover and share best practices for data and analytics engineering with members of the team. Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure. Assist analysts in solving their analytics questions/challenges. Up to 40% telecommuting permitted. OCC offers a standard benefits package.*This position qualifies for The Options Clearing Corporationโ€™s Employee Referral Program.*

Education & Experience Required

Masterโ€™s degree in data science, analytics, or related and two (2) years of experience as a data analyst, data analytics associate, or related

Special Skills Required

Must have work experience with each of the following: 1) Use IaC tools like Terraform and Ansible to provision AWS cloud hardware and software, enabling teams to perform model development and run backtesting; 2) Leverage Python frameworks, data modeling, shell programming and configuration as code to build SQL ETL (Extract Transform Load) pipelines to serve accurate business-oriented datasets to business users; 3) Implement DevOps practices like containerizing app code with Docker and Continuous Integration pipelines with tools like Jenkins and JFrog Artifactory to ensure high quality code; and 4) Integrate services securely with HashiCorp Vault to manage secrets, and orchestrate data intensive applications with orchestrators like Automic UC4 and Apache Airflow. Up to 40% telecommuting permitted.

Salary

$124,400-$140,500

About Us

The Options Clearing Corporation (OCC) is the world's largest equity derivatives clearing organization. Founded in 1973, OCC is dedicated to promoting stability and market integrity by delivering clearing and settlement services for options, futures and securities lending transactions. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System. OCC has more than 100 clearing members and provides central counterparty (CCP) clearing and settlement services to 19 exchanges and trading platforms. More information about OCC is available at www.theocc.com.

Benefits

A highly collaborative and supportive environment developed to encourage work-life balance and employee wellness. Some of these components include:

  • A hybrid work environment, up to 2 days per week of remote work
  • Tuition Reimbursement to support your continued education
  • Student Loan Repayment Assistance
  • Technology Stipend allowing you to use the device of your choice to connect to our network while working remotely
  • Generous PTO and Parental leave
  • 401k Employer Match
  • Competitive health benefits including medical, dental and vision

Visit https://www.theocc.com/careers/thriving-together for more information.

Compensation
  • The salary range listed for any given position is exclusive of fringe benefits and potential bonuses. If hired at OCC, your final base salary compensation will be determined by factors such as skills, experience and/or education.
  • In addition, we believe in the importance of pay equity and consider internal equity of our current team members as part of any final offer.
  • We typically do not hire at the maximum of the range in order to allow for future and continued salary growth. We also offer a substantial benefits package as noted on www.theocc.com/careers
  • All employees may be eligible for a discretionary bonus. Discretionary bonuses are based on various factors, including, but not limited to, company and individual performance and are not guaranteed.

OCC is an Equal Opportunity Employer

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