SmartestEnergy06.03.26
AI SCORE 8.5

Energy Data Analyst - Remote Position

$90K–$120K/year

About the Role

We are seeking an experienced Energy Data Analyst - Remote to join our dynamic team. In this role, you will analyze energy data to support decision-making processes and improve operational efficiency. You will work with various data sets, utilizing tools like SQL, Power BI, and Python to extract insights that drive our business forward.

What You'll Do

  • Analyze large datasets to identify trends and patterns in energy consumption.
  • Utilize SQL and Google BigQuery for data extraction and manipulation.
  • Create visualizations and reports using Power BI to communicate findings effectively.
  • Collaborate with cross-functional teams to enhance data quality and integrity.
  • Support financial planning and budgeting processes through quantitative modeling.

Requirements

  • 3+ years of experience as a Data Analyst, preferably in the energy sector.
  • Proficient in SQL, Python, and data visualization tools like Power BI.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills to convey complex data insights.
  • Experience with regulatory compliance and risk management is a plus.

Nice to Have

  • Familiarity with ETL processes and data warehousing.
  • Knowledge of energy efficiency and sustainability practices.
  • Experience with customer service and stakeholder engagement.

What We Offer

  • Global impact with opportunities in new markets.
  • Flexible working from anywhere for up to 30 days a year.
  • Commitment to diversity and inclusion.
  • Competitive salary and benefits package.
  • Opportunities for professional development and growth.
Why This Job8.5 of 10

This Energy Data Analyst role offers a unique opportunity to work remotely while making a significant impact in the energy sector. With competitive pay and flexible work arrangements, it's an attractive position for data professionals.

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

Who Will Succeed Here

Proficient in SQL and experienced with cloud-based data warehousing solutions like Google BigQuery, enabling effective data manipulation and analysis.

Strong analytical mindset with the ability to interpret complex energy datasets using Power BI for visualization, fostering data-driven decision making in a remote work environment.

Hands-on experience in ETL processes and Python scripting to automate data extraction and cleaning, demonstrating a proactive approach to optimizing data workflows.

Learning Resources

SQL for Data Sciencecourse

Career Path

Energy Data Analyst(Now)Senior Energy Data Analyst(1-2 years)Data Analytics Manager(3-5 years)

Market Overview

Market Size 2024
$12.5B
Annual Growth
14.2%
AI Adoption
35%
Investment
+60%
Labour Demand
+25%
Avg Salary
$85K

Skills & Requirements

Required
SQLPower BIPython
Growing in Demand
Data VisualizationMachine LearningCloud Data Warehousing
Declining
Excel for Data AnalysisTraditional Data Warehousing (e.g., Oracle DB)

Domain Trends

Increased Adoption of Cloud-based Data Solutions
Over 60% of organizations are shifting their data analytics to cloud platforms, enhancing scalability and accessibility.
Rise of Real-time Data Processing
80% of companies are investing in real-time data analytics capabilities, driving demand for professionals skilled in ETL and streaming data technologies.
Integration of AI in Data Analytics
By 2025, 50% of data analytics processes will be automated through AI, making skills in machine learning and AI integration increasingly valuable.

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