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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates foundational understanding of data quality dimensions and practical skills in data assurance, data profiling, and testing. Capable of translating business requirements into actionable data solutions while maintaining clear documentation and communication with stakeholders.
Highest-signal resume keywords
Data Quality AssuranceSQL DevelopmentPython ProgrammingExcel ProficiencyData Profiling and Testing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data DiscoveryData ReconciliationData AnalysisData DocumentationData GovernanceData LineageData PrivacyData Risk ManagementData VisualizationAttention to Detail
Soft Skills
Problem-SolvingWritten CommunicationVerbal CommunicationCollaborationTask Management
Tools & Technologies
Cloud Data PlatformsAnalytics ToolsVisualization Tools
Industry Keywords
Data Quality DimensionsRegulatory ReportingMetadata
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Deliver data-led solutions within consulting or project environments
- Work with complex data and translate business requirements into practical outputs
- Communicate insights clearly to clients and stakeholders
- Support data discovery, profiling, testing, reconciliation and evidence collection
- Investigate anomalies and contribute to identifying their underlying causes
- Document work clearly and maintain accurate evidence
- Escalate unexpected results or data issues
- Collaborate with senior managers, directors and BDO partners
- Identify opportunities to enhance delivery and provide additional services
- Contribute to high-quality client deliverables
Requirements
What you’ll need- Some experience working with data through employment, an internship, placement, academic study or personal projects
- Interest in data assurance, data quality or data risk
- Ability to work with structured datasets and support data discovery, profiling, testing, reconciliation and evidence collection under guidance
- Foundational understanding of data quality dimensions including completeness, accuracy, consistency, timeliness, validity and uniqueness
- Practical Excel skills
- Experience with, or interest in developing, SQL, Python, cloud data platforms and analytics or visualisation tools
- Ability to follow defined test procedures, document work clearly, maintain accurate evidence and escalate unexpected results or data issues
- Strong attention to detail and problem-solving skills
- Interest in data flows, lineage, governance, metadata, regulatory reporting, privacy and model or AI-related data risks
- Good written and verbal communication skills
- Ability to work collaboratively, manage assigned tasks and contribute to high-quality client deliverables
Benefits
Comp & perks- Mutual support and respect
- Informal success conversations
- Formal mentoring and coaching
- Agile working framework
- State-of-the-art collaboration spaces in offices
- Multidisciplinary events
- Dedicated resources for learning and development
- Opportunities to build a professional network and share skills and experiences