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Excel Data Analyst Jobs in Utah (NOW HIRING)

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... Skills: Advanced Excel VBA programming, data modeling, and professional English communication ...

The Pricing Data Analyst will have the opportunity to work with a large array of data (sales, price, customer, website, etc), tools, and technologies (Python, RStudio, BigQuery, Micro Strategy, Excel ...

Assists in the analysis of underlying issues arising from investigations into requirements. Assists the project team in the completion of project-related documentation. Recommended Experience ...

SQL (advanced), Python (intermediate), Data Visualization (advanced), Excel (advanced), Statistical Analysis (intermediate) Contract Type: W2 Only Duration: 6+ Months Location: Austin, TX (#LI ...

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... This typically includes BI dashboards, Python programs, or Excel/VBA reports. Enhances business ...

Sr. Data Analyst

Salt Lake City, UT · On-site +1

$83K - $105K/yr

As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting ...

Sr. Data Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

As an Analyst on Lucid's Strategy & Analytics team, you will be expected to be fluent in all aspects of strategic problem solving - from identifying opportunities to analyzing data, presenting ...

The Business Intelligence Data Analyst designs and develops software-based data modeling and ... This typically includes BI dashboards, Python programs, or Excel/VBA reports. • Enhances business ...

Showing results 21-40

Excel Data Analyst information

See Utah salary details

$31K

$75.2K

$123.8K

How much do excel data analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for excel 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 is an Excel data analyst?

An Excel Data Analyst is responsible for interpreting and analyzing data using Microsoft Excel to help businesses make informed decisions. They work with datasets, create reports, build dashboards, and use formulas and pivot tables to identify trends and insights. This role often involves data cleaning, visualization, and automation using Excel functions like VLOOKUP, INDEX-MATCH, and macros. Excel Data Analysts are crucial in optimizing workflows and improving data-driven decision-making within an organization.

What are the key skills and qualifications needed to thrive as an Excel data analyst?

To thrive as an Excel Data Analyst, you need advanced Excel skills, strong analytical abilities, and attention to detail, typically supported by a background in mathematics, statistics, or a related field. Familiarity with data visualization tools, database systems, and relevant certifications such as Microsoft Excel certification are highly valued. Excellent problem-solving, communication, and time management skills enable you to interpret data effectively and present findings clearly. These skills are critical for extracting actionable insights from complex data sets and supporting data-driven decision-making processes within an organization.

What are the typical career advancement opportunities for an Excel data analyst?

Excel Data Analysts often have multiple pathways for career growth, including moving into senior analyst roles, specializing in business intelligence, or transitioning to data science positions. Many professionals expand their technical toolkit by learning advanced analytics platforms, programming languages (like Python or SQL), or gaining experience with data visualization software such as Power BI or Tableau. Advancement may also come through industry-specific expertise or taking on leadership and project management responsibilities. With experience, Excel Data Analysts can become invaluable team members who drive strategic business decisions and may lead analytics teams.

What are the most commonly searched types of Excel Data Analyst jobs in Utah?

The most popular types of Excel Data Analyst jobs in Utah are:

Infographic showing various Excel Data Analyst job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $75,233 per year, or $36.2 per hour.

Sales Operations Data Analyst

Navitas Semiconductor

On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 4 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.