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Arcadia is an AI-powered energy intelligence platform for enterprise businesses. The company helps Fortune 2000 organizations manage utility bills, procure energy, and advance sustainability goals across multiple locations at scale. Arcadia combines unified data, AI-powered analytics, and expert advisory to help teams save money, mitigate risk, and reduce carbon emissions.
The Senior Data Analyst role focuses on detailed data analysis, exception handling, and reconciliation across Arcadia's RMS (Revenue Management System) platform. You will review and analyze data exceptions using multiple systems and data sources, conduct detailed research to identify discrepancies and errors, and investigate pre-identified issues to determine appropriate resolutions based on established processes.
Key responsibilities include validating and reconciling information across multiple sources, performing data corrections and updates, calculating and documenting discrepancies, and maintaining accurate investigation records. You will ensure work meets defined quality, productivity, and turnaround-time targets, and escalate complex or unresolved issues to Team Leads with supporting information.
As a Senior Data Analyst, you will handle complex, high-impact cases requiring deeper investigation and analysis. You will act as a subject-matter resource for junior Data Analysts, providing guidance on difficult cases and performing advanced research and reconciliation across systems. You will support Team Leads with complex escalations, identify recurring trends to prevent future issues, and contribute to process improvement initiatives by identifying workflow optimization opportunities.
You will collaborate with internal teams, utility providers, and stakeholders to gather additional information and clarification. You will identify recurring issues, unusual patterns, and potential process gaps, communicating findings to appropriate teams. Additional responsibilities include participating in quality reviews, knowledge-sharing sessions, and process training while maintaining confidentiality and accuracy when handling client and business information.
**Requirements:**
- 3–5 years of experience as a detail-oriented analytical professional who enjoys researching problems, working with data, and identifying practical solutions
- Ability to work with large volumes of information and identify discrepancies or patterns
- Ability to clearly document findings, actions, and resolutions
- Ability to work independently and collaboratively within a team
- Ability to independently handle complex and ambiguous cases
- Ability to manage multiple priorities while meeting quality and turnaround-time expectations
- Ability to guide junior analysts on complex issues
- Ability to identify trends and recommend process improvements
- Ability to communicate complex findings clearly to leads and stakeholders
- Willingness to learn new processes, systems, and business concepts
**Nice to Haves:**
- Prior experience with data analysis in finance, billing, payments, or energy domain
- Practical exposure to generative AI tools
- Passion for clean energy and sustainability mission
