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Remote Energy Data Analyst Jobs in Boca Raton, FL

Demand.com

Marketing Director (Remote)

Boca Raton, FL · Remote

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

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All JobsEnergy Data Analyst JobsRemote Energy Data Analyst JobsRemote Energy Data Analyst Jobs in Boca Raton, FL

Remote Energy Data Analyst information

See Boca Raton, FL salary details

$32.3K

$78.4K

$129.1K

How much do remote energy data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote energy data analyst in Boca Raton, FL is $78,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,000.00 per year, depending on experience, location, and employer.

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 Boca Raton, FL?

The most popular types of Energy Data Analyst jobs in Boca Raton, FL are:

What are popular job titles related to Remote Energy Data Analyst jobs in Boca Raton, FL?

For Remote Energy Data Analyst jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Remote Energy Data Analyst jobs in Boca Raton, FL look for?

The top searched job categories for Remote Energy Data Analyst jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Remote Energy Data Analyst jobs?

Cities near Boca Raton, FL with the most Remote Energy Data Analyst job openings:

Remote Energy Data Analyst jobs near you
Infographic showing various Remote Energy Data Analyst job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $78,423 per year, or $37.7 per hour.

Senior BI Engineer: End-to-End Analytics & Visualization

84.51

Deerfield Beach, FL • Remote

$118K - $163K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

As a Senior Business Intelligence Engineer, you will be part of a cross-functional team, applying your skill, experience, and creativity towards designing and building complex and scalable BI solutions. You will work in a highly collaborative environment, solving exciting problems while leveraging best engineering practices. We work full-stack, and the team owns features end-to-end.

On our teams, we're working daily with product, design, and data scientists to understand the problem and translate learnings into a pragmatic and effective solution. We happily pull in a peer when we need a pair to get through a tough problem or just for a second pair of eyes. We are always balancing new feature development with efforts to continuously improve both our efficiency and our infrastructure.

You should have: A passion for bringing great products into our world through collaboration and ingenuity Experience creating interactive visuals, designing dashboards, connecting to various data sources while working with a Business Intelligence Reporting Tool Proficiency with relational data modeling and data warehousing concepts Familiarity with sustainable engineering practices such as automated testing (TDD), continuous integration, continuous deployment, and monitoring / alerting Strong fundamentals, with overlap across our tech stack (Java, Spring Boot, Python, RESTful APIs, Docker, Azure Cloud Services, Terraform, PostgreSQL, Snowflake) Foundational understanding of cloud processing concepts Exposure to retail business intelligence A passion for learning from and collaborating with a diverse, talented team and mentoring junior team member Requirements: Bachelor's degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program Minimum 4+ years professional BI engineering experience Proficiency building and shipping multiple large software products using agile methodologies Excellent communication skills - you can effectively work with engineers but at the same time collaborate with product owners, experience designers, data analysts and multiple stakeholders Major Bonus Points for: Experience with Sisence Experience in Consumer Insights industry Experience working on distributed or remote-first teams Experience with distributed system performance analysis and optimization Experience with DevOps best practices and tools

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