Data Quality Consultant - 4 Months Contract

🏢 Müller`s Solutions
📍 Riyadh, Saudi ArabiaContractOn-site
📅 Posted: 24mo ago🔄 Updated: 24mo ago
CV%
✨ AI Summary
The Data Quality Consultant will ensure data accuracy, consistency, and completeness across the organization. Responsibilities include assessing data quality issues, designing and implementing improvement initiatives, creating data quality standards and KPIs, performing data profiling and cleansing, and guiding stakeholders on data management best practices. The role requires a Bachelor’s degree in a related field, experience with Informatica, and strong analytical and communication skills to collaborate with cross-functional teams.
Required Skills
Soft Skills & Professional Competencies
ResearchCollaborationAnalytical SkillsCommunication
Information Technology
InformaticaData Governance
Operations, Logistics & Supply Chain
Lean
🎁 Benefits & Perks

Why Join Us:

Opportunity to work with a talented and passionate team.

Competitive salary and benefits package.

Exciting projects and innovative work environment.

Requirements
Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Quality Consultant or in a similar role. Strong understanding of data quality principles and methodologies. Experience with Informatica. Proficiency in data profiling and cleansing techniques. Excellent analytical and problem-solving skills. Strong communication and collaboration skills. Ability to work effectively with cross-functional teams. Knowledge of data governance principles is a plus.
Description
As a Data Quality Consultant at Müller's Solutions, you will be responsible for ensuring the accuracy, consistency, and completeness of data across the organization. Your role will involve assessing data quality issues, designing and implementing data quality improvement initiatives, and providing guidance to stakeholders on best practices for data management. In this position, having experience with Informatica, a leading data integration and quality tool, will be highly beneficial.Responsibilities: Assess data quality issues and identify root causes. Design and implement data quality improvement strategies. Create and enforce data quality standards and procedures. Develop data quality metrics and KPIs. Implement data profiling and cleansing processes. Collaborate with cross-functional teams to resolve data quality issues. Provide guidance and support to stakeholders on data quality best practices. Monitor and report on data quality performance. Stay updated with the latest trends and advancements in data quality management.
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🎯 Overalli74%
⚡ Skillsi85%
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Ontology Match: 85.0
Matched:✓ Requirements Matching✓ Ontology Skills Mapping
📜 Eligibilityi49%
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Local: 19600%
🏗️ Career Fiti91%
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Seniority: 91.0
📋 Requirementsi67%
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Domain: 67.0
🔥 Motivationi78%
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Title Fit: 78.00