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Remote Energy Data Analyst Jobs in Utah (NOW HIRING)

Title: Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila ... energy and grid infrastructure, and industrial electrification. With more than 30 years of combined ...

The ability to work successfully in a high-energy, fast-paced, rapidly changing environment ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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$22/hr

The ability to work successfully in a high-energy, fast-paced, rapidly changing environment ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

The ability to work successfully in a high-energy, fast-paced, rapidly changing environment ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

The ability to work successfully in a high-energy, fast-paced, rapidly changing environment ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

The ability to work successfully in a high-energy, fast-paced, rapidly changing environment ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

The ability to work successfully in a high-energy, fast-paced, rapidly changing environment ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

The ability to work successfully in a high-energy, fast-paced, rapidly changing environment ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

The ability to work successfully in a high-energy, fast-paced, rapidly changing environment ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

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Remote Energy Data Analyst information

What is a remote energy data analyst?

A Remote Energy Data Analyst is a professional who analyzes energy consumption and production data, often for utilities, renewable energy companies, or large organizations, while working from a remote location. They use specialized software and data analysis techniques to identify patterns, improve efficiency, and recommend cost-saving or sustainability measures. Typical tasks include data collection, statistical analysis, reporting, and collaborating with energy managers or engineers. This role requires strong analytical skills, attention to detail, and proficiency with data tools like Excel, Python, or specialized energy analytics platforms.

What are the key skills and qualifications needed to thrive as a remote energy data analyst?

To excel as a Remote Energy Data Analyst, a solid background in data analysis, energy systems, and a relevant degree in engineering, mathematics, or environmental science is essential. Proficiency with analytical tools like Python, SQL, Excel, and energy management systems, as well as experience with data visualization platforms such as Power BI or Tableau, is typically required. Strong attention to detail, problem-solving abilities, and clear communication skills help analysts interpret data and present actionable insights to diverse stakeholders. These skills and qualities enable accurate energy usage assessments and support data-driven decision-making for efficiency and sustainability.

How does a remote energy data analyst typically collaborate with engineering and operations teams?

As a Remote Energy Data Analyst, you’ll often work closely with engineering and operations teams to interpret data, identify trends, and support the decision-making process. Regular virtual meetings, shared dashboards, and collaborative platforms are commonly used to communicate findings and align on project goals. Strong communication skills are essential, as you'll translate complex data into actionable insights that inform efficiency improvements and operational strategies. This collaboration ensures that analytical recommendations are effectively implemented in real-world energy systems.

What is the difference between Remote Energy Data Analyst vs Remote Renewable Energy Analyst?

AspectRemote Energy Data AnalystRemote Renewable Energy Analyst
Required CredentialsBachelor's in Data Science, Energy, or related field; proficiency in data analysis toolsBachelor's in Environmental Science, Renewable Energy, or related; knowledge of renewable energy technologies
Work EnvironmentRemote, data-focused roles within energy companies or consulting firmsRemote, project-based roles in renewable energy firms or environmental organizations
Employer & Industry UsageEnergy utilities, consulting firms, government agenciesRenewable energy companies, environmental NGOs, government agencies

The main difference between a Remote Energy Data Analyst and a Remote Renewable Energy Analyst lies in their focus areas. The Energy Data Analyst primarily analyzes energy consumption and efficiency data across various energy sources, while the Renewable Energy Analyst specializes in renewable energy projects and technologies. Both roles require strong data analysis skills, but their industry focus and specific knowledge differ.

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

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

What job categories do people searching Remote Energy Data Analyst jobs in Utah look for?

The top searched job categories for Remote Energy Data Analyst jobs in Utah are:

What cities in Utah are hiring for Remote Energy Data Analyst jobs?

Cities in Utah with the most Remote Energy Data Analyst job openings:

Infographic showing various Remote Energy Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Sales Operations Data Analyst

Navitas Semiconductor

On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 18 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.