Senior Data Analyst - QA

Who We Are

Arcadia is the AI-powered energy intelligence platform for businesses. We replace fragmented tools and manual workflows with one platform to pay utility bills, buy energy, and advance sustainability — across every location, at enterprise scale.

Trusted by Fortune 2000 companies, Arcadia combines unified data, AI-powered analytics, and expert advisory to help enterprise teams save money, mitigate risk, and cut carbon.  

We deliver this through three comprehensive solutions:

• Utility Bill Management: Automating the entire utility bill lifecycle — from data capture and validation to payment processing and auditing.
• Energy Procurement Advisory: Bringing together comprehensive data, AI-powered analytics, market expertise, and a strong partner network to make sophisticated procurement options accessible to all. .
• Sustainability Reporting — Verified emissions data with seamless integration into leading sustainability platforms.

Tackling the world's most complex energy challenges requires diverse thinking. We're building teams of people from different backgrounds, industries, and disciplines — united by a belief that energy management should be simple, intelligent, and a genuine driver of business value.

Position: Senior Data Analyst

Openings:  SDA - 6
       

Qualification: UG / PG from a reputed Institution; Hands on Analytics / spreadsheet knowledge (Google suite)

Location: Chennai

Employment Type: Full-time, 

                               Overlapping Shift 1: 3 PM - 12 AM IST (Hybrid)

                               Overlapping Shift 2: 6 PM - 3 AM IST (Hybrid)

 1. Key Responsibilities

• Review and analyze assigned exceptions on data using multiple systems and data sources.
• Conduct detailed research to identify discrepancies, errors, and inconsistencies in data.
• Investigate pre-identified issues and determine appropriate resolutions based on established processes and guidelines.
• Validate and reconcile information across multiple sources to ensure accuracy and completeness.
• Perform required data corrections, updates, and adjustments.
• Calculate, track, and document identified discrepancies and resolution details.
• Maintain accurate and complete documentation of investigations, actions taken, and outcomes.
• Ensure assigned work is completed within defined quality, productivity, and turnaround-time targets.
• Prioritize work based on business requirements, complexity, and established guidelines.
• Escalate complex, ambiguous, or unresolved issues to the Team Lead with relevant supporting information.
• Collaborate with internal teams, utility providers, and stakeholders when additional information or clarification is required.
• Identify recurring issues, unusual patterns, and potential process gaps and communicate them to the appropriate team.
• Follow established processes, controls, quality standards, and data-handling requirements.
• Participate in quality reviews, knowledge-sharing sessions, and process training.
• Support process improvement initiatives by identifying opportunities to simplify or improve existing workflows.
• Maintain confidentiality and accuracy while handling client and business information.
• Handle complex and high-impact cases requiring deeper investigation and analysis.

• Act as a subject-matter resource for Data Analysts and provide guidance on difficult cases.
• Perform advanced research and reconciliation across multiple systems and data sources.
• Support Team Leads with complex escalations and issue investigations.
• Identify recurring trends and provide insights that can help prevent future issues.
• Conduct peer reviews and support quality improvement activities.
• Assist with training, onboarding, and knowledge-sharing for new team members.
• Support process improvement, documentation, and automation initiatives.
• Provide inputs to Leads on process gaps, operational risks, and improvement opportunities.

2. Our Ideal Candidate Profile

We are looking for detail-oriented and analytical professionals who enjoy researching problems, working with data, and identifying practical solutions.

The ideal candidate should have:

• Senior Data Analyst: 3–5 years of relevant experience in data operations, data quality, transaction processing, analytics, billing/finance operations, or similar areas.
• Strong analytical and logical-thinking skills.
• Excellent attention to detail and accuracy.
• Ability to investigate issues systematically and identify root causes.
• Ability to work with large volumes of information and identify discrepancies or patterns.
• Good working knowledge of Microsoft Excel.
• Ability to learn and work with multiple systems and applications.
• Good written and verbal communication skills.
• Ability to clearly document findings, actions, and resolutions.
• Strong organizational and time-management skills.
• Ability to work independently as well as collaboratively within a team.
• Ability to manage multiple priorities while meeting quality and turnaround-time expectations.
• Strong ownership and accountability.
• Willingness to learn new processes, systems, and business concepts.

• Ability to independently handle complex and ambiguous cases.
• Stronger analytical and investigative capabilities.
• Ability to guide junior analysts on complex issues.
• Experience in peer review, quality checks, or knowledge-sharing.
• Ability to identify trends and recommend process improvements.
• Ability to communicate complex findings clearly to Leads and stakeholders.