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Student Shadow Data Analytics Jobs in Utah (NOW HIRING)

... Data Analytics Manager in maintaining our reporting ecosystems. This is an ideal role for an ... shadow accounting" disputes. * Quota Management: Maintain up-to-date records of sales quotas ...

... shadow accounting" disputes. * Quota Management: Maintain up-to-date records of sales quotas ... Junior Analytics & Reporting * Report Refreshing: Update and distribute standard weekly/monthly ...

We serve over 190,000 students across the U.S., and every number tells a story of persistence ... Bachelor's degree in a related field. * 5+ years of experience in data analytics, institutional ...

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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 ...

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 ...

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 ...

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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Student Shadow Data Analytics information

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 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 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 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 popular job titles related to Student Shadow Data Analytics jobs in Utah? For Student Shadow Data Analytics jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Student Shadow Data Analytics jobs in Utah look for? The top searched job categories for Student Shadow Data Analytics jobs in Utah are:
What cities in Utah are hiring for Student Shadow Data Analytics jobs? Cities in Utah with the most Student Shadow Data Analytics job openings:
Jr. Data Analyst

Jr. Data Analyst

Brady Corporation

Salt Lake City, UT • On-site

Full-time

Posted 20 days ago


Brady Corporation rating

9.2

Company rating: 9.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

We are seeking a detail-oriented Jr. Data Analyst to serve as the operational backbone of our sales compensation and data processes. In this role, you will be responsible for the accurate and timely processing of sales commissions and quota data. You will act as the "first line of defense" for data integrity, handling the day-to-day validation of Point of Sale (POS) transactions and supporting the Data Analytics Manager in maintaining our reporting ecosystems. This is an ideal role for an analytical professional looking to grow their skills in SQL, Tableau, and Revenue Operations.
Commissions & Quota Administration (Primary Focus)
  • Process Calculations: Execute monthly and quarterly commission calculations for the global sales team, ensuring strict adherence to compensation plans.
  • Data Validation: Review and validate Point of Sale (POS) data and booking reports to ensure all deals are credited to the correct territory and sales representative.
  • Dispute Resolution: Serve as the primary point of contact for sales representatives regarding commission discrepancies; research and resolve "shadow accounting" disputes.
  • Quota Management: Maintain up-to-date records of sales quotas, territory changes, and new hires in the compensation system.

Data Quality & Stewardship
  • Data Cleansing: Regularly audit sales data for duplicates, missing fields, or incorrect hierarchies to ensure the analytics team is building models on clean data.
  • Governance Support: Assist in enforcing business rules (e.g., ensuring all opportunities in the CRM have the correct "Close Date" and "Stage" prior to month-end).
  • Master Data Maintenance: Update product lists, pricing tables, and user hierarchies within the sales systems.

Junior Analytics & Reporting
  • Report Refreshing: Update and distribute standard weekly/monthly sales performance reports and dashboards.
  • Ad-Hoc Analysis: Support the analytics team by pulling specific datasets or running "what-if" scenarios in Excel for territory planning.
  • Documentation: Maintain clear documentation of commission workflows and data dictionaries (SOPs).

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