Quality Data Analytics Specialist

Position Overview

The Data Quality Developer will play a hands-on technical role in implementing and maintaining data quality controls, monitoring frameworks, and integration solutions across our enterprise MDM ecosystem. This position requires a strong technical background combined with excellent communication skills to work effectively with business stakeholders across the globe.

Working closely with the Data Governance Council Lead, this role will be responsible for configuring data quality platforms, implementing validation rules and workflows, developing dashboards and reports, and remediating data quality incidents across customer, supplier, contact, and item domains.

Key Responsibilities Data Quality Platform Configuration & Customization

Configure and customize data quality platforms to ensure optimal user experience for data management

Implement data quality rules, validation logic, and automated controls

Develop and maintain workflows to manage reference data across systems

Build monitoring capabilities for operational processes and data quality metrics

Data Quality Analysis & Remediation

Perform data profiling and analysis to identify data quality issues

Run reports across systems to calculate data quality dimensions

Execute data reconciliation reports across multiple systems

Remediate data quality incidents in a timely manner

Identify recurring incidents and resolve root cause issues

Manage incident resolution using ServiceNow to meet SLAs

Dashboard & Reporting Development

Implement and maintain data quality dashboards using Power BI

Create business-friendly visualizations of data quality findings

Develop reports to track quality metrics across all domains (customer, supplier, contact, item)

Build monitoring reports for operational processes and controls

Data Integration & Synchronization

Implement data integrations to synchronize data across systems

Develop ETL processes to support data quality and reconciliation needs

Work hands-on with MDM and related systems to implement quality controls

Ensure data consistency and accuracy across the enterprise data landscape

Stakeholder Collaboration & Requirements Gathering

Participate in requirements gathering sessions with business users

Elicit and document data quality requirements from stakeholders

Present data quality findings in a business-friendly format

Conduct meetings with large audiences independently

Work effectively with business users across multiple regions and time zones

Continuous Improvement

Identify opportunities to enhance data quality processes and controls

Contribute to the evolution of data quality maturity in the organization

Support the long-term data quality roadmap

Stay current with data quality best practices and emerging technologies

Required Qualifications Experience

Minimum 8 - 10 years of total experience in data quality, data development, or related fields

Preferably in an MDM and data governance environment

Proven track record of implementing data quality solutions and controls

Experience working with business stakeholders across multiple regions

Technical Skills

Data Quality Platforms: Hands-on experience with at least one platform such as Informatica, Talend, Alation, or similar tools

SQL: Advanced SQL proficiency for data analysis, profiling, and quality checks

ETL: Strong ETL development skills for data integration and transformation

Data Visualization: Proficiency in creating Power BI reports and dashboards

Data Profiling: Experience with data profiling tools and techniques

System Integration: Understanding of data synchronization and integration patterns

Communication & Collaboration

Excellent verbal and written communication skills

Ability to translate technical concepts into business-friendly language

Experience presenting to diverse audiences including business stakeholders and leadership

Proven ability to conduct meetings with large audiences independently

Strong requirements elicitation and documentation skills

Comfortable working across global teams and time zones

Problem-Solving & Analytical Skills

Strong analytical mindset for identifying root causes of data quality issues

Ability to troubleshoot complex data quality problems

Experience with incident management and resolution processes

Detail-oriented with focus on accuracy and quality

Preferred Qualifications

Multi-Domain MDM Experience: Experience working with customer, supplier, contact, or item master data domains

Manufacturing Industry: Background in manufacturing industry, particularly across multiple countries

ServiceNow: Experience using ServiceNow for incident management and meeting SLAs

Roadmap Planning: Ability to understand long-term roadmaps and contribute to data quality maturity evolution

Certifications: Data quality or data management certifications (e.g., CDMP, vendor-specific certifications)

Additional Tools: Experience with data governance tools, metadata management platforms, or data catalogs