Senior Quality Analyst

ARDEM Data Services

India

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

ARDEM Data Services in India is looking for an experienced Data Quality Operations Lead to drive data initiatives and oversee quality management for clients. You will act as the liaison between clients and internal teams, ensuring data integrity and operational excellence.

The ideal candidate will possess exceptional analytical skills, strong communication capabilities, and experience managing client relationships in a BPO environment. This role demands strategic thinking and technical expertise in data operations.

Qualifications

5+ years of experience in Data Quality Management.
Minimum 2+ years of direct client-facing experience.
Strong analytical and problem-solving capabilities.
Excellent verbal and written communication skills.

Responsibilities

Oversee data quality initiatives for portfolio of clients.
Manage client expectations through proactive communication.
Conduct periodic data quality assessments and health checks.
Prepare and deliver operational and data quality reports.

Skills

Data Quality Management

Analytical Skills

Client Relationship Management

Reporting Skills

Communication Skills

Education

Bachelor's Degree in IT, Computer Science, or related field

Master's Degree (MBA or equivalent) preferred

Tools

Advanced Microsoft Excel

SQL

Power BI

Tableau

Job description

We are seeking an experienced and highly analytical Data Quality Operations Lead to oversee data quality initiatives for a portfolio of strategic clients. This role serves as the primary liaison between the client and internal operational teams, ensuring the completeness, accuracy, timeliness, and integrity of critical business data.

The ideal candidate will possess exceptional communication skills, strong client-facing experience, advanced analytical capabilities, and the ability to manage data quality operations in a fast-paced US BPO environment. The candidate will work closely with client stakeholders, internal operational teams, engineering, analytics, and leadership to drive continuous improvements in data quality, reporting, and operational excellence.

This position requires regular interaction with client teams and therefore demands excellent verbal and written communication, professional presentation skills, stakeholder management, and relationship-building abilities.

Key Responsibilities:

Client Relationship Management

Serve as the primary Data Quality Point of Contact for assigned client accounts.
Build and maintain strong professional relationships with client stakeholders.
Participate in client meetings, business reviews, and operational discussions.
Communicate data quality updates, risks, issues, and resolutions effectively.
Manage client expectations through proactive communication and timely follow-ups.
Collaborate with Customer Success, Data Advisory, and Operations teams to ensure client satisfaction.

Data Quality Ownership

Own end-to-end data quality management for assigned client portfolios.
Conduct periodic data quality assessments and health checks.
Monitor data completeness, accuracy, consistency, and audit readiness.
Identify data anomalies, duplicates, missing records, overlaps, and data gaps.
Ensure all data quality issues are tracked, prioritized, and resolved within agreed timelines.
Drive continuous improvement initiatives to enhance overall data quality performance.

Reporting & Analytics

Prepare and deliver recurring operational and data quality reports.
Generate weekly, monthly, and quarterly performance reports.
Create dashboards, trend analyses, Pareto reports, and executive summaries.
Present insights and recommendations to internal leadership and client stakeholders.
Translate complex data findings into actionable business recommendations.
Maintain accurate documentation and reporting records.

Incident Management & Root Cause Analysis

Lead data quality incident investigations and resolution activities.
Perform root cause analysis and identify corrective and preventive actions.
Coordinate with cross-functional teams to ensure timely resolution of issues.
Monitor recurring issues and implement long-term solutions.
Document incident findings, lessons learned, and process improvements.

Operational Excellence

Establish and maintain quality control processes and standards.
Develop SOPs, playbooks, operational guides, and knowledge repositories.
Ensure compliance with organizational and client-specific quality standards.
Identify opportunities for automation and process optimization.
Support continuous improvement initiatives across operations.

Cross-Functional Collaboration

Work closely with Engineering, Product, Analytics, Operations, and Customer Success teams.
Coordinate activities across multiple stakeholders to achieve business objectives.
Support implementation of new tools, technologies, and automation initiatives.
Participate in process improvement and operational transformation projects.

Required Qualifications

Education

Bachelor's Degree in Information Technology, Computer Science, Engineering, or a related field.
Master's Degree (MBA or equivalent) preferred.

Experience

5+ years of experience in the following domain:

Data Quality Management
Data Operations
Business Operations
Data Governance
Client Services or Account Management
Minimum 2+ years of direct client-facing experience.
Experience working with US clients and global teams preferred.
Proven experience managing multiple client accounts or operational portfolios.

Communication Skills

Excellent verbal and written English communication.
Strong presentation and facilitation skills.
Ability to communicate effectively with clients, leadership, and cross-functional teams.
Professional email writing and business communication skills.

Client Management