Description
Key Skills: SQL, Python, Data Analysis, SAS, Data Quality, Data Governance, Data Privacy, Security, R, GDPR
Good to Have Skills: Knowledge of CCPA compliance, experience with data lineage documentation, user story grooming, sprint planning, user acceptance testing, root cause analysis on complex datasets, business stakeholder engagement, cross-functional collaboration with business analysts and data engineers, Agile processes participation, data profiling techniques, and strategic impact identification for business value creation through data-driven insights.
Roles & Responsibilities:
- Analyse large datasets using advanced tools to identify trends and actionable business insights.
- Conduct comprehensive data profiling to assess data quality and fitness for business purposes.
- Identify and resolve data quality issues to maintain overall data integrity across systems.
- Perform detailed root cause analysis on complex datasets to address specific business issues.
- Work closely with business stakeholders to understand data requirements and deliver effective solutions.
- Collaborate with cross-functional teams including business analysts and data engineers to support strategic goals.
- Ensure strict compliance with data privacy regulations including GDPR and CCPA requirements.
- Implement comprehensive best practices for secure data handling, storage, and sharing protocols.
- Identify strategic opportunities for business value creation through comprehensive data-driven insights and analysis.
- Influence product teams by recommending data-based actions to enhance revenue and customer engagement.
- Participate actively in Agile processes including user story grooming, sprint planning, and testing.
- Document technical attributes, business descriptions, and comprehensive data lineage for governance frameworks.
Experience Required: Minimum 5 years of relevant experience in data analysis and analytics roles.
Education: Bachelor's Degree required or equivalent professional experience