Talantix.io
SmartestEnergy•11.03.26
AI SCORE 8.5

Remote Energy Data Analyst - Join a Leading Energy Company

$90K–$120K/year
RemoteEnergy Data Analytics
SQL•Power BI•Python•Google BigQuery•ETL•Data Analytics•Microsoft Office

About the Role

We are seeking a talented Remote Energy Data Analyst to join our dynamic team. As a key player in our organization, you will leverage your expertise in data analytics to drive insights that enhance energy efficiency and sustainability. This role offers the opportunity to work remotely while making a global impact in the energy sector.

What You'll Do

  • Analyze large datasets to identify trends and patterns in energy consumption and efficiency.
  • Utilize tools such as SQL, Power BI, and Python to create comprehensive reports and dashboards.
  • Collaborate with cross-functional teams to support financial planning, budgeting, and forecasting efforts.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Provide insights into regulatory compliance and risk management strategies.

Requirements

  • 2-5 years of experience as a Data Analyst, preferably in the energy sector.
  • Proficiency in SQL, Power BI, Google BigQuery, and Excel.
  • Strong analytical skills with the ability to interpret complex data sets.
  • Excellent communication skills to present findings to stakeholders.
  • Experience in energy efficiency, sustainability, or market intelligence is a plus.

Nice to Have

  • Familiarity with ETL processes and data warehousing.
  • Knowledge of financial modeling and decision analysis.
  • Experience with customer service and problem-solving in a data-driven environment.

What We Offer

  • Flexible working arrangements, allowing you to work from anywhere for up to 30 days a year.
  • A commitment to diversity and inclusion within our workforce.
  • Opportunities for professional growth and development in a rapidly evolving industry.
  • Be part of a team that is making a significant impact on the global energy landscape.
Why This Job8.5 of 10

This Remote Energy Data Analyst position offers a unique opportunity to work flexibly while contributing to sustainability in the energy sector. Competitive salary and global impact make it an attractive role.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in SQL and Python for data manipulation and analysis, with a strong understanding of Google BigQuery for handling large datasets in cloud environments.

→

Self-motivated and disciplined individual who thrives in a remote work setting, demonstrating effective time management and organization skills to meet project deadlines.

→

Analytical mindset with a focus on energy efficiency metrics, capable of translating complex data findings into actionable insights using Power BI for visual reporting.

Learning Resources

→SQL Tutorial for Data Sciencecourse
→Python for Data Analysisvideo
→Introduction to Google BigQueryguide

Career Path

Remote Energy Data Analyst(Now)→Data Analytics Manager(1-2 years)→Senior Data Scientist - Energy Sector(3-5 years)

Market Overview

Market Size 2024
$10.5B
Annual Growth
12.5%
AI Adoption in Data Analytics
45%
Investment in Data Solutions
+35%
Labour Demand for Data Analysts
+20%
Avg Salary for Energy Data Analysts
$85K

Skills & Requirements

Required
SQLPower BIPython
Growing in Demand
Machine LearningData VisualizationCloud Data Warehousing
Declining
Excel VBAOn-Premise Database Management

Domain Trends

Increased Focus on Renewable Energy Data
With a 30% increase in renewable energy investments, data analytics is crucial for optimizing energy distribution and consumption.
Integration of AI in Energy Analytics
45% of energy companies are adopting AI-driven analytics tools to enhance decision-making and predictive maintenance.
Shift to Cloud-Based Data Solutions
Over 60% of companies are migrating to cloud platforms like Google BigQuery for data storage and analytics, improving scalability and access.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.