In this hybrid role, you’ll be responsible for managing and transforming large datasets into actionable insights, supporting both client deliverables and internal digital initiatives.
You’ll play a vital role in the full data operations lifecycle—from validating, extracting, and processing digital transaction data to resolving data quality issues and collaborating with cross-functional teams.
This is an exciting opportunity for early-career professionals interested in building strong foundations in data analysis, digital tools, and process automation within a client-focused environment.
Monitor and validate data completeness, accuracy, and consistency using BI tools and SQL.
Investigate anomalies and resolve data quality issues in collaboration with local and global teams.
Data Extraction & Tool Usage Work with internal tools to configure data extraction models.
Adapt extraction logic to meet evolving data formats and business needs.
Stay up-to-date with internal systems, technologies, and process documentation.
Client & Stakeholder Support Respond to client and internal queries with accurate and timely feedback.
Attend daily stand-ups to track progress, report blockers, and align with team priorities.
Automation & Process Improvement Identify and participate in initiatives to automate repetitive tasks.
Contribute to process documentation, QA dashboards, and internal tooling enhancements.