Data quality analyst

The Oracle Ledger is our goal to implement a new Global Financial Accounting and General Ledger platform that provides a daily ledger in every legal entity, linking ledger balances and contract level reconciliations to our daily settlement records and contractual commitments.

We are seeking a Data Quality Analyst for a 6-month fixed-term contract based in Budapest working with colleagues in India, the US, the Philippines, Costa Rica, and the UK. In this role, you will perform hands-on data profiling, anomaly detection, and deep-dive root cause analysis (RCA) across mission-critical enterprise systems.

Key Responsibilities:
Deep-Dive Root Cause Analysis (RCA) & Defect Resolution

• Act as the escalation point and lead investigator for high-impact data exceptions, breaks, and reconciliations.
• Systematically trace end-to-end data lineage across multi-hop data pipelines (ingestion, staging, transformation, reporting layers) to isolate defect origins.
• Drive post-mortem RCA investigations, compile formal remediation documentation, and track remedial plans to closure.

Technical Data Mining

• Build and optimize data mining and profiling workflows using KNIME Analytics Platform.
• Mine structured, semi-structured, and legacy flat file feeds to detect latent patterns, corrupted records, and pipeline bottlenecks.

Day-to-Day Operations & Stakeholder Management

• Manage own work output and defect queue while adhering to delivery and documentation standards.
• Ensure accurate and up-to-date information in the team’s Data Quality Exceptions inventory and Jira tickets.
• Provide concise, executive-ready inputs to presentations and status dashboards highlighting exception trends, burndown metrics, root cause themes, and critical blockers.
• Partner with Finance and Technology partners to align on defect ownership and priority.