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Data Analyst Project Manager Jobs in Utah (NOW HIRING)

Navitas Semiconductor

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 ...

Raytheon

Principal Analyst Data Manager

Provo, UT

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... meet project goals. * Sense of urgency; ability to meet challenging deadlines, and attention to ...

Pwc

Data Strategy-Manager

Salt Lake City, UT · On-site

$99K - $232K/yr

This role offers the chance to work with innovative technologies and collaborate on transformative projects that shape the future of data management and analytics. Responsibilities - Lead the ...

pcg

Project Manager

Salt Lake City, UT · On-site

Interpret and analyze contract documents regarding terms, specifications, clarifications and ... Experienced in data center/semi-conductor. Framing, exterior cladding, grid, RAF, mechanical and ...

pcg

Project Manager

Salt Lake City, UT · On-site

Interpret and analyze contract documents regarding terms, specifications, clarifications and ... Experienced in data center/semi-conductor. Framing, exterior cladding, grid, RAF, mechanical and ...

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All JobsData Analyst Project JobsData Analyst Project Manager JobsData Analyst Project Manager Jobs in Utah

Data Analyst Project Manager information

See Utah salary details

$31K

$75.2K

$123.8K

How much do data analyst project manager jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data analyst project manager 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.

Can a data analyst be a project manager?

A data analyst can transition into a project management role by developing skills in leadership, communication, and project planning. While data analysts typically focus on data interpretation and reporting, project managers oversee project execution, timelines, and team coordination, often requiring certifications like PMP. Combining technical expertise with project management skills can enable a data analyst to take on project management responsibilities.

What are the key skills and qualifications needed to thrive as a data analyst project manager?

To thrive as a Data Analyst Project Manager, you need expertise in data analysis, project management methodologies, and a relevant degree such as in statistics, computer science, or business. Familiarity with data visualization tools (e.g., Tableau, Power BI), project management software (e.g., Jira, Asana), and certifications like PMP or CAPM are often required. Strong communication, problem-solving, and leadership skills help you bridge technical teams and stakeholders while managing timelines and expectations. These abilities ensure that data-driven projects are executed efficiently, deliver actionable insights, and meet organizational goals.

What is the difference between Data Analyst Project Manager vs Data Analyst?

AspectData Analyst Project ManagerData Analyst
Primary RoleOversees data projects, manages teams, and ensures project deliveryAnalyzes data, creates reports, and provides insights
Required SkillsProject management, data analysis, communicationData analysis, statistical skills, visualization
CertificationsPM certifications (e.g., PMP), data analysis toolsData analysis certifications (e.g., Microsoft, SAS)
Work EnvironmentProject teams, cross-functional collaborationData-focused teams, analytics departments

The main difference is that a Data Analyst Project Manager combines project management with data analysis skills to lead data initiatives, while a Data Analyst primarily focuses on analyzing data and generating insights. The Project Manager role involves overseeing projects from start to finish, coordinating teams, and ensuring timely delivery, whereas the Data Analyst role centers on data interpretation and reporting.

How do data analyst project managers balance analytical work with project management responsibilities?

Data Analyst Project Managers often split their time between overseeing project timelines and deliverables, and performing or reviewing data analysis tasks. This dual focus means they must prioritize effective communication and delegation, ensuring that project goals are met while maintaining high standards for data quality and insights. Collaboration with data analysts, stakeholders, and other project managers is essential, as they often facilitate meetings, translate technical findings into actionable recommendations, and resolve obstacles that might affect the project's progress. Successfully managing both aspects requires strong organizational skills and the ability to adapt to shifting priorities.

Who earns more, a data analyst or a data analyst project manager?

A data analyst project manager typically earns more than a data analyst due to additional responsibilities, leadership duties, and project management skills. Salaries can vary based on experience, industry, and location, but project managers generally have higher compensation levels in data-related roles.
What are the most commonly searched types of Data Analyst Project jobs in Utah? The most popular types of Data Analyst Project jobs in Utah are:
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What job categories do people searching Data Analyst Project Manager jobs in Utah look for? The top searched job categories for Data Analyst Project Manager jobs in Utah are:
What cities in Utah are hiring for Data Analyst Project Manager jobs? Cities in Utah with the most Data Analyst Project Manager job openings:
Data Analyst Project Manager jobs near you
Infographic showing various Data Analyst Project Manager job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote 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 28 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/R, Power BI, Excel 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.

Apply