Senior Data Analyst

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.