Energy Data Analyst - Remote Position
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.
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.
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.
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