Data Analyst (Remote)
The Data Analyst at Confidential Client supports data center clients by preparing, validating, and analyzing large energy and performance datasets to deliver actionable insights through dashboards and reports. This fully remote role involves collaborating with internal teams and clients to drive sustainability and energy efficiency initiatives, leveraging tools like Power BI and programming languages such as Python, R, or SQL. The position offers growth opportunities in data center infrastructure analytics within a dynamic, client-focused environment.
About CareerTakes
CareerTakes is a next-generation AI recruiting platform that connects early-career talent with real roles at established companies across regulated industries.
👉 Important disclosure: CareerTakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our confidential client, a provider of Data Center Infrastructure Services in the IT & sustainability space.
Applicants for this role may also receive access to additional matched opportunities through the CareerTakes platform.
Position overview
This Remote Data Analyst role supports analytics and sustainability programs for data center clients. Working under senior analysts and program leadership, you will clean, validate, analyze, and visualize energy and performance datasets to produce accurate reports and dashboards that inform operational and sustainability decisions.
The role is ideal for an early-career analyst with strong technical curiosity who wants to grow skills in data center infrastructure, energy analytics, and visualization tools such as Power BI.
What You’ll Do
- Clean, organize, and validate large energy and building performance datasets to ensure data accuracy and reliability
- Build and maintain dashboards, dataflows, and recurring performance reports using Power BI (or similar visualization tools)
- Use Python, R, and/or SQL to extract, transform, and analyze time-series and tabular datasets
- Identify trends, anomalies, and performance insights across client portfolios and present findings to technical and non-technical audiences
- Document data sources, assumptions, processing steps, and methodologies clearly and consistently
- Conduct quality checks and follow established data management standards to maintain high-quality outputs
- Support multiple projects simultaneously and deliver assigned tasks on schedule
- Collaborate with internal Energy & Sustainability teams and client stakeholders to meet analytics objectives
- Learn and apply the confidential client’s internal analytics tools, APIs, and sustainability management software
- Recommend opportunities to improve workflows, automation, and reporting efficiency
What We’re Looking For (Minimum Qualifications)
- Bachelor’s degree in engineering, analytics, data science, or a related field (minimum)
- 0–2 years of experience in data analysis; experience in energy, building performance, or sustainability is a plus
- Proficiency with one or more data analysis tools/languages: Python, R, or SQL
- Experience with data visualization tools such as Power BI or Tableau
- Strong analytical thinking, attention to detail, and interest in sustainability and energy efficiency
- Good verbal and written communication skills; ability to present findings to technical and non-technical audiences
- Eagerness to learn new tools, systems, and industry concepts
Preferred Qualifications
- Academic projects, internships, or prior work applying data analysis to real-world or simulated datasets
- Hands-on experience cleaning, transforming, and validating datasets (time-series experience preferred)
- Experience creating dashboards or analytical reports to communicate findings and recommendations
- Familiarity with building management systems (BMS), Modbus protocols, or mechanical/electrical building engineering concepts
- Experience using Microsoft Excel for analysis and PowerPoint/Word for presenting results and reports
- Understanding of predictive analytics models; exposure to operationalizing ML models is a plus
- Strong team player with experience working in collaborative, cross-functional settings
- Ability to synthesize analytical findings into concise written summaries or presentations
Compensation & Benefits
- Base pay range: $65,000 – $80,000 per year (good‑faith estimate; final compensation will be based on skills, experience, location, and applicable law)
- Employment type: Contract / Full time (as indicated by the confidential client)
- Benefits may include: medical, dental, vision; HSA; 401(k) matching; paid time off and holidays; mental health resources; gym discounts; and other group discounts and voluntary benefit programs. Specific benefits and eligibility are determined by the confidential client and applicable plan terms.
How to Apply
- Apply using the CareerTakes application flow. Selected candidates will be employed directly by the confidential client.
- Applicants must be legally authorized to work in the United States.
- Reasonable accommodations: If you require a reasonable accommodation to participate in the application or interview process, please contact CareerTakes at support@careertakes.ai.
Equal Opportunity & Hiring Transparency
CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.