[Hiring] Data Analyst @Salute

Role Description

The Data Analyst supports the delivery of analytics initiatives for Northshore’s data center clients by assisting with data preparation, validation, analysis, dashboard development, and reporting. This role contributes to both regional and global analytics projects while supporting the data needs of internal Northshore teams.

Working under the guidance of senior analysts and program leadership, the Data Analyst plays an important role in transforming complex energy and performance datasets into accurate, structured outputs that enable informed decision-making. The ideal candidate is detail-oriented, technically curious, and eager to develop expertise in sustainability and data center infrastructure analytics.

The Data Analyst will work with the team to:

• Develop and maintain dashboards, dataflows, and reporting tools that support 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.

You will have access to our clients’ data, API’s and toolsets as well as Northshore’s analytics and sustainability management software custom built for the management of data center sustainability and energy programs.

Duties and Responsibilities

• Clean, organize, and validate large energy and building performance datasets to ensure accuracy and reliability.
• Develop and maintain dashboards, dataflows, and recurring performance reports using tools such as Power BI.
• Perform assigned data analysis tasks to support client deliverables and internal initiatives.
• Document data sources, assumptions, processes, and methodologies clearly and consistently.
• Conduct quality checks and follow established data management standards to maintain high-quality outputs.
• Support multiple concurrent projects by delivering assigned tasks on schedule and meeting defined requirements.
• Collaborate with internal Energy & Sustainability teams to support project objectives and analytics initiatives.
• Learn and apply Northshore’s internal analytics tools, software platforms, and standardized processes.
• Contribute to continuous improvement efforts by identifying opportunities to enhance workflows, automation, and reporting efficiency.
• Participate in team meetings, training sessions, and professional development activities to build technical and industry knowledge.

Qualifications

• 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 and communicate to technical and non-technical audiences.
• Strong self-interest in sustainability and energy efficiency.

Requirements

• 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. 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.
• Strong team player with familiarity working in a collaborative setting.
• Experience using Microsoft Excel for data analysis and organization, Microsoft PowerPoint for presenting results, & Microsoft Word for creating reports.
• Understanding of predictive analytics models. Previous experience operationalizing ML models is a plus.

Benefits

• The salary range for this role is $75,000.00-$85,000.00.
• Comprehensive benefits include health, dental, and vision insurance.
• Health Savings Account (HSA).
• Gym discount.
• Mental health support.
• Discounted Group Life & AD&D.
• Discounted Group Short & Long-term Disability.
• 401(k) retirement matching.
• PTO/paid holidays.
• Parental leave.