Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and sustain dashboards, dataflows, and reporting tools that support client energy and sustainability initiatives.

• Analyze trends and performance insights throughout client portfolios.

• Assist with analytics projects that align with program objectives.

• Clean, organize, and verify substantial energy and building performance datasets.

• Conduct data analysis for both client deliverables and internal projects.

• Document data sources, assumptions, processes, and methodologies comprehensively.

• Execute quality assurance checks and adhere to data management standards.

• Manage multiple ongoing projects and ensure timely completion of assigned tasks.

• Collaborate with internal Energy & Sustainability teams effectively.

• Acquire knowledge and utilize internal analytics tools, software platforms, and standardized procedures.

• Identify opportunities to enhance workflows, automation, and reporting efficiency.

• Engage in team meetings, training sessions, and professional growth activities.

• Convert energy and performance datasets into precise, structured outputs for informed decision-making.

• Address data requirements of internal teams and contribute to both regional and global analytics projects.

⛳️ Requirements

• A minimum of a Bachelor’s degree in engineering or a related field in analytics is required.

• 0–2 years of experience in data analysis, ideally within the energy sector.

• Proficiency in data analysis tools such as Python, R, or SQL.

• Expertise in data visualization tools like Power BI or Tableau.

• Strong analytical skills with a keen attention to detail.

• Willingness to learn new tools, systems, and industry concepts.

• Excellent verbal and written communication abilities, including presenting to both technical and non-technical audiences.

• A strong personal interest in sustainability and energy efficiency.

• Academic, internship, or professional experience applying data analysis to real-world or simulated datasets.

• Experience in cleaning, transforming, and validating datasets.

• Experience creating dashboards, visualizations, or analytical reports.

• Capacity to interpret defined project requirements and deliver structured, accurate outputs.

• Experience managing multiple assignments or deadlines effectively.

• Proven ability to synthesize analytical findings into clear written summaries or presentations.

• Experience working with time-series data.

• Proficiency in Microsoft Excel, Microsoft PowerPoint, and Microsoft Word.

• Understanding of predictive analytics models is beneficial.

• Previous experience with BMS systems and Modbus protocols is an advantage.

• Experience in Sustainability or Building Engineering, particularly in mechanical and electrical design, is a plus.

• Prior experience operationalizing ML models is an added benefit.

• A strong team player with experience in collaborative settings.

🏝️ Benefits

• Health insurance

• Dental insurance

• Vision insurance

• Health Savings Account (HSA)

• Gym discount

• Mental health support

• Discounted Group Life & AD&D insurance

• Discounted Group Short & Long-term Disability insurance

• 401(k) retirement matching

• PTO/paid holidays

• Parental leave

• Remote work within the U.S.

• Training sessions and professional development activities