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Exempt Data Analyst Jobs in Utah (NOW HIRING)

Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines Job Purpose: Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader ...

Works on new applications of machine learning and analytic technology within Healthcare, producing ... We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid ...

Works on new applications of machine learning and analytic technology within Healthcare, producing ... We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... We also offer flexible time off for our exempt team members + 13 paid holidays * Paid parental ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid ...

The role will focus on extending machine learning, predictive modeling, and analytic components to ... We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid ...

Acquisitions Analyst

Provo, UT · On-site

$65K - $70K/yr

CLASSIFICATION: Full-time, Exempt, Salary COMPENSATION: $65,000-70,000 Annually ABOUT THE ROLE ... Organize and present data to the investment committee in regular meetings * Make recommendations to ...

Vice President, Information Security Officer Status: ☐ Exempt ☐ Non-Exempt About the Role The ... and data. The position requires a proactive, growth-oriented security professional who stays ...

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Exempt Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do exempt data analyst jobs pay per year?

As of Jul 26, 2026, the average yearly pay for exempt data analyst in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What jobs are H1B cap exempt?

H1B cap-exempt jobs include positions at institutions of higher education, nonprofit research organizations, and government research agencies. Data analysts working in these settings may qualify for cap exemption if the employer qualifies under these categories and the role involves specialized skills such as data interpretation, statistical analysis, and proficiency with tools like SQL or Python.

Will AI replace a data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, making strategic decisions, and applying domain knowledge, which AI cannot fully replicate. The profession is evolving to include skills in AI tools and advanced analytics, but human expertise remains critical.

What are Exempt Data Analysts?

Exempt Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions, and who are classified as 'exempt' under the Fair Labor Standards Act (FLSA). This means they are typically salaried employees who are not eligible for overtime pay due to the nature of their analytical, specialized, or supervisory duties. Exempt Data Analysts often work in industries such as finance, healthcare, and technology, using statistical tools and software to interpret data trends and provide actionable insights. Their role may also involve data visualization, reporting, and collaborating with other departments to support business objectives.

How does an Exempt Data Analyst typically collaborate with other departments to drive business decisions?

Exempt Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, and operations to interpret complex data and translate findings into actionable insights. They are often involved in meetings to discuss business goals and present data-driven recommendations, ensuring that stakeholders understand trends and opportunities. Collaboration may include developing dashboards, sharing reports, and advising on data collection strategies to support organizational objectives. This role requires strong communication skills and the ability to tailor technical information for non-technical audiences.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, data scientists, operations analysts, and financial analysts. Each type focuses on different areas such as business processes, advanced statistical modeling, operational efficiency, or financial data, often requiring specific skills and tools like SQL, Excel, or statistical software. Understanding these types helps in aligning skills and certifications with job roles in data analysis.

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

To thrive as an Exempt Data Analyst, you need strong analytical abilities, proficiency in statistical methods, and a relevant degree in fields like mathematics, statistics, computer science, or economics. Experience with data analysis tools such as SQL, Python, R, Excel, and visualization platforms like Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills are vital for transforming complex data into strategic recommendations that drive organizational success.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming an exempt data analyst, as the role values skills such as data analysis, proficiency in tools like Excel or SQL, and relevant certifications. Many professionals successfully transition into data analysis later in their careers, and employers often prioritize experience and skills over age. Continuous learning and staying current with industry tools can enhance job prospects regardless of age.
What are the most commonly searched types of Data Analyst jobs in Utah? The most popular types of Data Analyst jobs in Utah are:
What are popular job titles related to Exempt Data Analyst jobs in Utah? For Exempt Data Analyst jobs in Utah, the most frequently searched job titles are:
Sales Operations Data Analyst

Sales Operations Data Analyst

Navitas Semiconductor

On-site, Remote

Other

Medical, Dental, Vision, PTO

Posted 12 days ago


Job description

Job Description:

Title: Sales Ops Data Analyst

 In Office /Remote: /Hybrid

 Exempt / Non-exempt

Based: Manila, Philippines

Job Purpose:

Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader driving innovation in gallium nitride (GaN) and high-voltage silicon carbide (SiC) technologies. Our products enable faster, more efficient power delivery across AI data centers, high-performance computing, energy and grid infrastructure, and industrial electrification.

With more than 30 years of combined expertise in wide bandgap technologies, GaNFast™ power ICs integrate GaN power, drive, control, sensing, and protection, delivering faster power delivery, higher system density, and greater efficiency. GeneSiC™ high-voltage SiC devices leverage patented trench-assisted planar technology to provide industry-leading voltage capability, efficiency, and reliability for medium-voltage grid and infrastructure applications. 

We are seeking a Data Analyst to join our fast-growing, collaborative team. The ideal candidate is self-motivated, energetic, and able to thrive in a high-growth, innovative environment, contributing directly to technologies that are shaping the future of power electronics. 

Key Responsibilities and Duties:

Summary:

We are seeking an experienced Data Analyst in Sales Operations department to manage sales data analysis and distributor activities to drive sales performance. Focus on developing and maintaining sales operations databases, automating reporting. You will be the lead architect and manager of the Sales Operations Data Center. Your mission is to consolidate fragmented data from CRM and ERP systems into a unified, automated infrastructure that powers the global semiconductor sales strategy.

1. Cloud Data Infrastructure & Architecture

  • Build & Manage: Develop and maintain a centralized Cloud-Based Sales Ops Data Center, ensuring robust data structures to support all analytics and reporting needs.
  • Pipeline Automation: Architect and automate data pipelines that integrate CRM (D365) and ERP (Oracle) systems with the central cloud database for real-time data flow.
  • Scalability: Collaborate with IT to optimize the performance and scalability of the sales data infrastructure.

2. Data Governance & Security

  • Standardization: Maintain accuracy and consistency of sales, billing, and lead data by standardizing information across all global platforms.
  • Security & Access: Manage cloud access controls, user roles, and data retention policies to ensure privacy and regulatory compliance.

3. Advanced Analytics & AI Innovation

  • AI Development: Build and deploy AI-driven solutions or AI agents to automate routine data cleaning, summarize complex sales reports, or predict pipeline risks.
  • Automated Reporting: Use Python/R and VBA to create and send regular performance reports, focusing on backlog/billing and sales forecast accuracy.

4. Commercial Strategy & Collaboration

  • BI Development: Create and maintain executive-level Power BI dashboards that track critical metrics like "Book-to-Bill" and pipeline velocity.
  • Global Liaison: Act as the primary English-speaking technical contact for Sales Operations, translating commercial needs into technical database solutions.

Knowledge, Skills, Abilities, and Other Characteristics (KSAO’s)

  • Knowledge:  Comprehensive mastery of SQL (Database Design/Management), Python/RPower BIExcel VBA, and the data schemas of Microsoft D365, Salesforce and Oracle.
  • Skills: Advanced Excel VBA programming, data modeling, and professional English communication (written and verbal).
  • Abilities: Ability to translate complex sales data into clear business narratives and automate repetitive reporting cycles.
  • Others: Detail-oriented mindset for billing accuracy and a drive for continuous improvement through AI integration.

Required Qualifications

Basic

  • Communication: Professional proficiency in English; ability to collaborate with global stakeholders and document technical workflows clearly.
  • Core Tech Stack: Expert-level SQL and advanced Python or R for data manipulation and automation.
  • Systems: Hands-on experience with different CRM and ERP systems. Such as Microsoft Dynamics 365 (F&O) and Oracle ERP systems.
  • Reporting: Proven experience in Excel VBA programming and building/managing Power BI dashboards.

Preferred

  • AI Agency Programming: Experience building AI Agents (e.g., LangChain, CrewAI, or AutoGPT) to automate data auditing, summarization, or predictive sales forecasting.
  • Industry Expertise: Direct experience in Semiconductor Sales Ops (managing Backlog, Billing, Pipeline, and Forecast cycles).
  • Cloud Architecture: Experience setting up serverless functions or automated triggers within a cloud environment.

What We Offer

  • A front-row seat to the future of power electronics. Work on cutting-edge GaN and SiC technologies that are transforming AI data centers, electrification, and global energy infrastructure.
  • A fast-paced, high-energy environment. We move quickly, make decisions with purpose, and empower employees to take ownership and drive real impact from day one.
  • A team that shows up and delivers. We care deeply about our mission, our customers, and each other. We collaborate, support one another, and bring intensity and accountability to everything we do.
  • Full support to succeed. You’ll have access to leadership, cross-functional collaboration, and the resources needed to innovate and execute at a high level.
  • Competitive total rewards. Comprehensive health, dental, and vision coverage, unlimited PTO, and a competitive compensation package including base salary,  bonus, and equity awards.