Data Quality Specialist
- Orange Business
- 3 - 8 years
- Noida, Gurugram
- 2 days ago
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Job Description
Mission / 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
Data 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
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
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
knowledge 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:
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 bachelors 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
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
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
Products and Marketing
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Business Intelligence & AnalyticsRole: Analytics ConsultantEmployement Type: Full timeContact Details:
Company: Orange BusinessLocation(s): Noida, Gurugram+ View Contact
Keyskills: Computer science data cleansing Data analysis Data validation Operational excellence Data management Data quality Continuous improvement Monitoring SQL
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Orange Business
Orange Business Services is a global IT and communications services provider, with services in 220 countries. We help companies collaborate more effectively, operate more efficiently and engage better with their customers, connecting their people, sites and machines securely and reliably.
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