Senior Energy Data Analyst

As a Senior Energy Data Analyst at EnergyHub, your responsibilities will include defining project scopes with clients, developing high-quality analytics dashboards and reports, and collaborating with engineering and data science teams to translate project insights. You'll utilize SQL and Python within our Snowflake data warehouse to extract and analyze data. Furthermore, you’ll prepare insightful reports and participate in meetings to discuss project results and gather feedback.

To qualify for the Senior Energy Data Analyst position at EnergyHub, candidates should have experience delivering analytics using SQL and Python, alongside proficiency in BI dashboard tools. Excellent communication skills, a commitment to data accuracy, and a genuine passion for a sustainable energy future are also critical. Understanding data transformation processes and familiarity with energy efficiency programs are preferred, but not mandatory.

EnergyHub stands out as a fantastic workplace for a Senior Energy Data Analyst due to its commitment to innovation and a collaborative culture. You will be given real responsibilities that allow you to impact the energy sector while working with cutting-edge technologies. The inclusive environment encourages personal and professional development, and you'll enjoy various perks, including a flexible schedule and a casual work atmosphere.

To excel as a Senior Energy Data Analyst at EnergyHub, strong technical skills in SQL, Python, and BI dashboard development are essential. Additionally, excellent communication skills are crucial for understanding client needs and presenting data insights effectively. A commitment to data credibility and a passion for promoting a carbon-free energy future will also contribute to your success in this role.

The salary range for the Senior Energy Data Analyst position at EnergyHub is between $120,000 and $140,000. This range considers factors like qualifications, location, and experience, and allows for growth within the role. Besides salary, the total compensation package includes benefits such as medical coverage and a 401(k) plan.

When answering this question, highlight specific projects where you used SQL to analyze datasets or develop reports. Share details about the complexity of the data you dealt with and how your analysis contributed to informed decision-making or client outcomes.

Discuss your strategy for preparing for client meetings by reviewing project progress and outcomes. Emphasize the importance of listening to client feedback and how you integrate that input to refine projects or services, fostering a collaborative relationship.

Be prepared to discuss specific BI tools like Tableau, Power BI, or Sigma that you have used. Explain how these tools helped you visualize data trends, improve reporting efficiency, or generate actionable insights for clients, showcasing your technical competency.

Your response should detail your process for validating data sources, checking for anomalies, and using industry standards for data analysis. Demonstrating a systematic approach to ensuring data quality will reflect your professionalism.

Choose a project that showcases your problem-solving abilities. Describe the challenge, how you applied technical skills, collaboration, and communication to navigate obstacles, and the positive results that followed, such as improved client satisfaction or operational efficiency.

Discuss your commitment to continuous learning—mention specific resources like industry journals, webinars, or professional networks. Highlight how this knowledge enhances your work and informs your analyses as a Senior Energy Data Analyst.

Teamwork is vital in analytics; emphasize collaboration and sharing knowledge across departments. Provide examples of how you have successfully worked with clients and internal stakeholders to create valuable insights and drive project success.

Focus on your communication skills. Explain your approach to addressing concerns by listening to client feedback, offering solutions, and making necessary adjustments to exceed their expectations on future projects.

Share your passion for data analysis, the energy sector, and making a difference in creating sustainable energy solutions. Convey how this motivation drives you to excel in your role and contribute to the company's mission.

Discuss hands-on experience with Snowflake for data transformation projects. Describe specific tasks you’ve performed, the challenges faced, and how the use of Snowflake has streamlined your data processing capabilities.