Data Analyst

About the Role

Salute is seeking a Data Analyst to support the delivery of analytics initiatives for data center clients. This role involves data preparation, validation, analysis, dashboard development, and reporting, contributing to regional and global analytics projects and supporting internal teams. The Data Analyst will transform complex energy and performance datasets into actionable insights under the guidance of senior analysts and program leadership. The ideal candidate is detail-oriented, technically curious, and eager to develop expertise in sustainability and data center infrastructure analytics.

Key Responsibilities

• Develop and maintain dashboards, dataflows, and reporting tools supporting client energy and sustainability programs.
• Assist in identifying trends and performance insights across client portfolios.
• Support the execution of analytics initiatives aligned with program goals.
• Clean, organize, and validate large energy and building performance datasets.
• Develop and maintain dashboards, dataflows, and recurring performance reports using tools such as Power BI.
• Perform assigned data analysis tasks for client deliverables and internal initiatives.
• Document data sources, assumptions, processes, and methodologies.
• Conduct quality checks and follow established data management standards.
• Support multiple concurrent projects by delivering assigned tasks on schedule.
• Collaborate with internal Energy & Sustainability teams.
• Learn and apply internal analytics tools, software platforms, and standardized processes.
• Contribute to continuous improvement efforts by identifying opportunities for workflow enhancement, automation, and reporting efficiency.
• Participate in team meetings, training sessions, and professional development activities.

Requirements & Tech Stack

• Proficiency in data analysis tools such as Python, R, or SQL.
• Proficiency with data visualization tools such as Power BI or Tableau.
• Experience using Microsoft Excel for data analysis and organization.
• Experience using Microsoft PowerPoint for presenting results.
• Experience using Microsoft Word for creating reports.
• Understanding of predictive analytics models.

Qualifications

• Bachelor’s degree (minimum) in an engineering or analytics-related field.
• 0-2 years of experience in data analysis, preferably in the energy sector.
• Strong analytical thinking and attention to detail.
• Eagerness to learn new tools, systems, and industry concepts.
• Excellent verbal and written communication skills, including the ability to present and communicate to technical and non-technical audiences.
• Strong self-interest in sustainability and energy efficiency.

Experience

• Academic, internship, or job experience applying data analysis to real-world or simulated datasets.
• Experience cleaning, transforming, and validating datasets.
• Experience creating dashboards, visualizations, or analytical reports to communicate findings.
• Ability to interpret defined project requirements and deliver structured, accurate outputs.
• Experience managing multiple assignments or deadlines.
• Demonstrated ability to synthesize analytical findings into clear written summaries or presentations.
• Experience working with timeseries data.
• Strong team player with familiarity working in a collaborative setting.

Previous experience working with BMS systems & Modbus protocols is a plus.

Experience in the Sustainability or Building Engineering space including mechanical & electrical design is a plus.

Previous experience operationalizing ML models is a plus.