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Assistant Data Analytics Jobs in Utah (NOW HIRING)

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 ...

... trends * Assist in providing data and documentation to support audits and internal control reviews Issue Identification & Root Cause Analysis * Proactively identify anomalies or breaks in ...

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Assistant Data Analytics information

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What are Assistant Data Analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What does an assistant data analyst do?

An assistant data analyst supports data collection, cleaning, and analysis to help organizations make data-driven decisions. They often use tools like Excel, SQL, or statistical software and may assist in preparing reports or visualizations under the supervision of senior analysts.

What are the key skills and qualifications needed to thrive as an Assistant Data Analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

Will AI replace BA jobs?

Assistant Data Analysts and Business Analysts (BAs) work with data interpretation, reporting, and decision-making. AI tools can automate routine tasks and data processing, but human judgment, domain knowledge, and communication skills remain essential for complex analysis and strategic insights, making complete replacement unlikely in the near term.

What are some typical challenges faced by an Assistant Data Analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.
What are the most commonly searched types of Data Analytics jobs in Utah? The most popular types of Data Analytics jobs in Utah are:
What are popular job titles related to Assistant Data Analytics jobs in Utah? For Assistant Data Analytics jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Assistant Data Analytics jobs? Cities in Utah with the most Assistant Data Analytics job openings:
Infographic showing various Assistant Data Analytics job openings in Utah as of May 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Intern- Data & Analytics

Intern- Data & Analytics

Nature's Sunshine Products

Lehi, UT โ€ข On-site

Internship

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Role Overview

We are looking for a Front End Data & Analytics Intern to help design, build, and maintain Power BI reporting experiences that improve visibility and decision-making across the business.

This role focuses on developing Power BI reports and dashboards, partnering with stakeholders to clarify requirements, and leveraging governed datasets and semantic models to deliver accurate, consistent metrics.

You will also help strengthen report documentation and release practices (release notes, change logs, and usage guidance) so business users understand what changed, why it changed, and how to use the reporting effectively.

Reliable definitions and a consistent user experience are critical to how the business operates and makes decisions. This role directly contributes to improving trust and adoption of our analytics products.

What You'll Do

Power BI Report Development (Core Focus)

  • Build and enhance Power BI reports and dashboards, focusing on usability, clarity, and performance
  • Translate business questions into effective visuals, drill paths, filters, and navigation patterns
  • Use and validate governed datasets and semantic models to ensure consistent definitions and metrics
  • Apply basic report UX practices (layout, labeling, tooltips, accessibility) to improve adoption

Datasets & Semantic Models Support

  • Partner with the data team to understand available datasets/semantic models and how measures are defined
  • Perform front-end data validation (reconciling visuals to source queries, sanity checks, filter behavior)
  • Assist with defining and maintaining report-level standards (naming conventions, certified content, metric definitions)
  • Create and maintain documentation that ties reports to datasets, measures, and business definitions

Documentation, Releases & Continuous Improvement

  • Write and maintain report documentation (purpose, audience, definitions, refresh cadence, known limitations)
  • Produce release notes/change logs for report updates (what changed, why, impact, and validation steps)
  • Support stakeholder feedback cycles by tracking issues/enhancements and helping prioritize iterations
  • Identify opportunities to standardize visuals/pages across reports to reduce rework and improve consistency

What Success Looks Like

By the end of the internship, you will have:

  • Delivered Power BI reports/dashboards that answer real business questions and are actively used by stakeholders
  • Improved consistency and trust by aligning reporting to governed datasets/semantic models and documented metric definitions
  • Implemented a lightweight documentation and release notes process that makes reporting changes easy to understand
  • Completed validation/QA routines that reduce reporting defects and rework

Qualifications

Required

  • Currently pursuing a degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or related field
  • Experience with Power BI (building reports, working with visuals, filters, and interactions)
  • Working knowledge of data concepts (tables, relationships, measures) and ability to validate results against source data
  • Strong problem-solving skills, attention to detail, and ability to document work clearly

Preferred

  • DAX fundamentals (basic measures, time intelligence) and/or Power Query (data shaping)
  • Experience working with shared datasets/semantic models, certified content, or governance practices
  • SQL experience for validating logic and troubleshooting data issues
  • Familiarity with documentation standards, release notes, and change management for analytics products

How We Work

  • You will be given real reporting problems, not step-by-step instructions
  • You will be expected to take ownership of specific deliverables (pages, reports, documentation) and ship usable outcomes
  • Much of the work involves clarifying requirements, iterating on feedback, and validating that numbers match expectations
  • You should be comfortable working with ambiguity and asking the right questions to move work forward

This role is focused on building and improving reporting experiences in Power BI. A significant portion of the work involves:

  • Turning stakeholder questions into clear visuals and usable report workflows
  • Reconciling and validating metrics against source data and documented definitions
  • Maintaining documentation and release notes so changes are transparent and repeatable
  • If you enjoy combining analytical thinking with good design and communication, you'll do well here.

Nature's Sunshine is dedicated to being a Force of Nature that champions social and environmental wellness. We are focused on building a team of professionals with diverse backgrounds and experiences to become the natural supplement company of the future. By celebrating the individuality and unique perspectives of our workforce, we empower our employees to share the healing power of nature with more people around the world. And through our commitment to sustainable processes, renewable energy usage and waste reduction initiatives, we're devoted to preserving nature and its power for future generations.

We believe we are stronger together, and our ongoing commitment to diversity, equity, inclusion and belonging ensures that every employee is treated with fairness and respect. Because doing what's right-in the right way-is how we succeed as a company and a society.


Job Posted by ApplicantPro