Data Quality Specialist

Gurgaon, Haryana
Permanent
Full-time

1 month ago

about the roleMission / role purpose:The Data Quality Specialist is responsible for ensuring the accuracy, integrity, and reliability of the organization's master data. This role combines analytical expertise and governance oversight to identify data quality issues, define and implement KPIs, and support continuous improvement initiatives. By collaborating closely with data owners and stakeholders, the specialist enables trusted, high-quality data to drive effective decision-making and operational excellence across the enterprise.key accountabilitiesData Quality Management:
Ensure high data quality by performing data analysis, profiling, and continuous monitoring to detect and resolve data quality issues promptly.
Develop, maintain, and enforce data quality standards, policies, and procedures to support consistent and reliable data across the organization.
Collaborate with stakeholders to define data quality metrics and targets, taking full ownership of KPI implementation, monitoring, and reporting across all relevant data domains.Data Governance:
Implement defined data governance framework with respect to Master Data, including processes, roles, and control mechanisms.
Define and manage data quality rules, data lineage, and data classification to ensure transparency and accountability.
Ensure organizational compliance with data governance policies, standards, and relevant regulatory requirements.Data Analysis and Reporting:
Conduct in-depth data analysis to uncover trends, patterns, anomalies, and areas for quality improvement.
Define, implement, and maintain KPIs to monitor data quality, usability, and performance across domains.
Deliver actionable insights using statistical techniques, SQL, Excel, Power BI, and AI-powered data quality tools to support data-driven decisions.Stakeholder Collaboration:
Engage with business users, data owners, and IT teams to understand data requirements and resolve quality issues effectively.
Provide ongoing support and guidance on data quality best practices to ensure consistent understanding and adoption.
Partner with Global Data Owners to define and agree on P1/P2/P3 KPIs for their respective data products.
Monitor KPI status, proactively flag amber/red indicators, and initiate timely analysis and remediation efforts.Continuous Improvement:
Continuously enhance personal knowledge and skills in data quality management through training, certifications, and staying updated with industry advancements, contributing to ongoing improvement efforts.about youknowledge and abilities:Understanding of data management principles, data quality frameworks and data governance practices.
Proficiency in analyzing and interpreting complex data sets, identifying patterns, and drawing meaningful insights.
Ability to query databases, to extract and manipulate data for quality assessment.
Ability to think analytically and critically to solve complex data quality problems.
Willingness to stay updated with emerging trends and technologies in data quality management.
Excellent interpersonal and communication skills.
education, qualifications, and certifications:A bachelor's degree in a relevant field such as computer science, information systems, statistics, or mathematics is often preferred.
Analytical Skills: Strong analytical skills are essential for a data quality specialist. This includes the ability to analyze complex data sets, identify patterns, and draw meaningful insights.
Data Management Knowledge: A solid understanding of data management principles, data quality frameworks, and data governance is important. This includes knowledge of data profiling, data cleansing, data integration, and data validation techniques.
Technical Skills: Proficiency in SQL, data querying, and data manipulation is often required.
Create visually appealing and interactive reports and dashboards using Power BI.
Utilize advanced Excel functions and formulas to manipulate and analyze data.
Communication Skills: Effective communication skills are crucial for collaborating with stakeholders, documenting data quality issues, and presenting findings to non-technical audiences.Experience:With minimum 3 years of relevant experience.Proven experience in analyzing and interpreting complex data sets, identifying data quality issues, and proposing solutions.
Strong communication skills and experience in collaborating with cross-functional teams, documenting data quality issues and presenting findings to stakeholders.
Proven ability to identify data quality prablems, investigate root causes, and implement corrective actions.additional information

Global opportunities: Work in multi-national teams with the opportunity to collaborate with colleagues and customers from all over the world
Flexible work environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working)
Professional development: training programs and upskilling/re-skilling opportunities
Career growth: Internal growth and mobility opportunities within Orange
Caring and daring culture: health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events
Reward programs: Employee Referral Program, Change Maker Awards

departmentProducts and MarketingOrange Business manages and integrates the complexity of international communications, freeing our customers to focus on the strategic initiatives that drive their business. Our extensive experience and knowledge in global communication solutions, together with our understanding of multinational business and local support in 166 countries and territories, ensure that our customers receive a consistent, global solution wherever they do businesscontractRegular

Orange

Apply Now