We are seeking a detail-oriented Data Analyst to support data flow management and analysis within commercial buildings. This role is responsible for managing building data streams, identifying energy-saving opportunities, and analyzing regulatory and utility invoices. The ideal candidate is comfortable with large datasets, excels at organization, and can work cross-functionally in a fast-paced, hybrid work environment.
Key Responsibilities:
- Manage and monitor data flow from commercial buildings into online platforms
- Analyze building-related energy data to identify cost-saving opportunities
- Evaluate utility and regulatory invoices for discrepancies and insights
- Maintain accurate and organized data records
- Collaborate with internal teams to support data-driven decision-making
Qualifications:
Experience:
- 2–3 years of relevant experience in data analysis, preferably in energy, facilities, or engineering data
Education:
- Bachelor’s degree highly preferred
Technical Skills:
- Proficiency in Microsoft Excel
- Familiarity with Airtable and Tableau
Certifications/Licenses:
Key Competencies:
Must-Have Skills:
- Strong data management and organizational skills
- Attention to detail and accuracy in data interpretation
Nice-to-Have Skills:
- Experience with Tableau or other data visualization tools
- Understanding of building systems or engineering data
Interview Process:
- Two virtual interview rounds
Job Types: Full-time, Contract
Pay: $35.00 - $39.89 per hour
Expected hours: 40 per week
Schedule:
- 8 hour shift
- Monday to Friday
Application Question(s):
- Duration: 6-month contract with potential for permanent hire
Work Schedule: Hybrid (3 days onsite per week, candidate's choice)
Experience:
- Data analytics: 3 years (Preferred)
- invoices: 3 years (Preferred)
- Airtable: 2 years (Preferred)
- Tableau: 2 years (Preferred)
- Microsoft Excel: 3 years (Preferred)
Ability to Commute:
- New York, NY 10281 (Required)
Ability to Relocate:
- New York, NY 10281: Relocate before starting work (Required)
Work Location: In person
