Data Analyst-- NBFI Data Standardization

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

- 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