Job Title: Data Analyst - NBFI Data Standardization Location: Riyadh, Saudi Arabia Job Type: Full-time Job Summary Our client is seeking a detail-oriented Data Analyst-NBFI Data Standardization to join their team in Riyadh and help transform raw, inconsistent datasets from multiple Non-Banking Financial Institutions (NBFIs) into clean, standardized, and actionable datasets. This role focuses on hands-on data cleaning, structuring, and validation Key Responsibilities - Ingest large, unstructured datasets from multiple NBFI sources (Excel, CSV, APIs, DBs) - Clean & standardize data formats, schemas, and definitions across datasets - Build simple, scalable transformation pipelines using *SQL + Python (Pandas)* - Create clean, analysis-ready datasets + basic reporting views for stakeholders - Document data definitions, assumptions, and lineage for auditability - Collaborate with NBFI teams to clarify data inconsistencies and validate outputs Must-Haves - SQL mastery (complex queries, joins, aggregations) - Python (Pandas) for data wrangling - Experience working with *messy, real-world datasets* - Attention to detail in data cleaning and validation - Basic understanding of *financial datasets* (lending, portfolios, risk metrics) - Communication skills to work with technical + non-technical stakeholders Apply at [email protected] mention position name in Subject.