Data Quality Analyst As a Data Quality Analyst, you will play a critical role in supporting our transition to a modern Enterprise Resource Planning (ERP) system, which aims to improve processes, decision-making, and overall business outcomes. This role focuses on driving data quality improvements, ensuring accurate and consistent data to enable better analytics and informed decisions across the Finance function. You'll be integral in creating a robust data governance structure to ensure long-term data integrity and efficiency. What will you be doing? Data Governance and Quality o Collaborate with business stakeholders to define critical data elements and document risks and benefits. o Execute data governance best practices, including ownership, stewardship, and cataloging. o Develop data quality frameworks and implement tools for profiling, assessment, and reporting. o Perform data cleansing and validation activities in alignment with the ERP system migration. Analysis and Reporting o Conduct in-depth data profiling to identify patterns, inconsistencies, and anomalies. o Create and maintain dashboards and visualizations to monitor data quality metrics. o Document business processes, risks, and improvement opportunities related to data management. Stakeholder Collaboration o Partner with finance, IT, and other teams to understand data requirements and align quality initiatives. o Serve as a liaison between technical and non-technical stakeholders, ensuring clear communication and alignment. Compliance and Risk Mitigation o Ensure data quality processes adhere to financial regulations and data governance policies. o Identify and mitigate risks associated with poor data quality. Continuous Improvement o Support the creation of a structured data organization within the Finance function to maintain high data quality. o Identify and implement opportunities for process improvements across Record to Report (R2R), Order to Cash (O2C), Source to Pay (S2P), and Financial Planning and Analytics (FP&A). What do we need from you? Essential Skills: Proven experience delivering data quality initiatives, including frameworks, assessments, and remediation. Strong technical skills in data quality reporting, profiling, and dashboarding tools. In-depth knowledge of data governance best practices, cataloging, mapping, and cleansing. Ability to document business processes and communicate risks and benefits effectively. Hands-on experience working with databases, data warehouses/lakes, and data architecture principles. Excellent stakeholder management skills, with the ability to adapt messages to varied audiences. Strong analytical and visualization skills to present findings and insights to stakeholders. Desirable Skills: Experience with modern lakehouse platforms (e.g., Databricks, Snowflake) and dashboarding tools (e.g., Tableau). Familiarity with Agile methodologies, including SCRUM, Kanban boards, and JIRA. Proficiency in SQL for querying relational databases. Knowledge of data management principles, including GDPR compliance, tagging, data privacy, and lineage. Exposure to airline or retail industries is an advantage.