
1001 - 5000 employees
Founded 2013
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
Salute is a global leader in providing integrated lifecycle services for data centers, focusing on operational excellence, sustainability, and scalable infrastructure solutions. With over 30 services ranging from design, build, operate, to refresh, Salute supports clients through every stage of their data center journey. The company serves a wide-reaching market, including hyperscalers, colocation providers, and enterprise data center operators across North America, South America, and EMEA regions.
🔥 12 hours ago
🇺🇸 United States – Remote
💵 $75k - $85k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📉 Data Analyst
👻 Ghost score 0%
Where this job comes from
Posted on Salute's careers page, not through a job board
First seen by Remote Rocketship 12 hours ago
Still open on Salute's site. Checked 1 hour ago.

1001 - 5000 employees
Founded 2013
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
Salute is a global leader in providing integrated lifecycle services for data centers, focusing on operational excellence, sustainability, and scalable infrastructure solutions. With over 30 services ranging from design, build, operate, to refresh, Salute supports clients through every stage of their data center journey. The company serves a wide-reaching market, including hyperscalers, colocation providers, and enterprise data center operators across North America, South America, and EMEA regions.
• Develop and maintain dashboards, dataflows, and reporting tools supporting client energy and sustainability programs • Identify trends and performance insights across client portfolios • Support analytics initiatives aligned with program goals • Clean, organize, and validate large energy and building performance datasets • Perform data analysis tasks for client deliverables and internal initiatives • Document data sources, assumptions, processes, and methodologies • Conduct quality checks and follow data management standards • Support multiple concurrent projects and deliver assigned tasks on schedule • Collaborate with internal Energy & Sustainability teams • Learn and apply internal analytics tools, software platforms, and standardized processes • Identify opportunities to improve workflows, automation, and reporting efficiency • Participate in team meetings, training sessions, and professional development activities • Transform energy and performance datasets into accurate, structured outputs for decision-making • Support data needs of internal teams and contribute to regional and global analytics projects
• Bachelor’s degree (as a minimum) in engineering or analytics related field required • 0–2 years of experience in data analysis, preferably in the energy sector • Proficiency in data analysis tools such as Python, R, or SQL • Proficiency with data visualization tools such as Power BI or Tableau • 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 to technical and non-technical audiences • Strong self-interest in sustainability and energy efficiency • 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 • 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 time-series data • Experience using Microsoft Excel, Microsoft PowerPoint, and Microsoft Word • Understanding of predictive analytics models • Previous experience working with BMS systems and Modbus protocols is a plus • Experience in Sustainability or Building Engineering, including mechanical and electrical design, is a plus • Previous experience operationalizing ML models is a plus • Strong team player with familiarity working in a collaborative setting
• 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
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