Data Quality Specialist

Orange Business is here!

About us

Join us at Orange Business!

We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.

Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.

About the role

The ‘Data Quality Specialist’ will play a crucial role in ensuring the accuracy, integrity, and quality of our organization’s master data. He/She will be responsible for analyzing and interpreting complex data sets, identify trends, defining KPI’s and provide actionable insights to support data-driven decision-making. He/She will leverage skills in statistical analysis, SQL, PLSQL, Advanced Excel, Power BI to drive insights and improvements in data quality and usability.

 

Data Quality Management:

• Ensure data quality by analyzing, profiling, and monitoring data to identify and resolve data quality issues.
• Develop and implement data quality standards, policies, and procedures.
• Collaborate with stakeholders to establish data quality metrics and targets.

Data Governance:

• This role will interface with   data governance frameworks, processes, and controls.
• Define data quality rules, data lineage, and data classification.
• Ensure compliance with data governance policies and regulations.Data Analysis and Reporting:
• Perform data analysis to identify trends, patterns, and anomalies.
• Generate data quality reports and dashboards to communicate findings and insights.
• Provide recommendations and action plans to improve data quality.

Stakeholder Collaboration: 

• Collaborate with Data Quality, Data governance, business users, data owners, and IT teams etc. to understand data requirements and resolve data quality.
• Provide guidance and support to stakeholders on data quality best practices.
• Conduct training and awareness sessions on master data quality management.

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 you

Education: A bachelor's degree in a relevant field such as computer science, information systems, statistics, or mathematics is often preferred.  Preference to Professional certification in data analytics e.g., CompTIA Data+, Power BI Data Analyst Associate, SQL, PLSQL, MS Excel.

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 problems, investigate root causes, and implement corrective actions.

Understanding of data management principles, master data, 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.

 

 

 

You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.

 

 

 

 

 

What we offer

• Global Opportunities: Work in multi-national teams with 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.

Only your skills matter

Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neuroatypia, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.

Responsibilities

The ‘Data Quality Specialist’ will play a crucial role in ensuring the accuracy, integrity, and quality of our organization’s master data. He/She will be responsible for analyzing and interpreting complex data sets, identify trends, defining KPI’s and provide actionable insights to support data-driven decision-making. He/She will leverage skills in statistical analysis, SQL, PLSQL, Advanced Excel, Power BI to drive insights and improvements in data quality and usability.
 
Data Quality Management:
- Ensure data quality by analyzing, profiling, and monitoring data to identify and resolve data quality issues.
- Develop and implement data quality standards, policies, and procedures.
- Collaborate with stakeholders to establish data quality metrics and targets.
Data Governance:
- This role will interface with   data governance frameworks, processes, and controls.
- Define data quality rules, data lineage, and data classification.
- Ensure compliance with data governance policies and regulations.
Data Analysis and Reporting:
- Perform data analysis to identify trends, patterns, and anomalies.
- Generate data quality reports and dashboards to communicate findings and insights.
- Provide recommendations and action plans to improve data quality.
Stakeholder Collaboration: 
- Collaborate with Data Quality, Data governance, business users, data owners, and IT teams etc. to understand data requirements and resolve data quality.
- Provide guidance and support to stakeholders on data quality best practices.
- Conduct training and awareness sessions on master data quality management.
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.