Senior Data Analyst (Graph)
The Senior Data Analyst is a hands-on analytical contributor embedded in the engineering
team. This role bridges the gap between the data itself and the engineers, product
managers, and data analysts building and evaluating the Knowledge Graph. The primary
focus is data integrity: validating datasets, verifying query outputs, tracing the root cause of
discrepancies, and applying statistical methods to assess data quality across multiple
storage technologies.
This is a practitioner role, not a consulting engagement. The deliverable is evidence —
validated results, documented defects, root cause analysis, and statistical assessments
that the team can act on.
- Practical experience applying statistical methods to data quality assessment: distribution analysis, outlier detection, variance analysis, sampling validation
- Ability to interpret benchmark result data and distinguish meaningful performance differences from noise Cross-Technology Proficiency
- Comfort working across multiple database technologies and query languages — this role will need to query data in PostgreSQL, graph databases, and Databricks as part of normal validation work
- Experience with Databricks or similar distributed data platforms (Spark, Delta Lake) Communication and Collaboration
- Strong written communication — validation findings, defect reports, and root cause analyses must be clear enough for both engineers and product stakeholders
- Ability to work independently under minimal supervision, taking direction from peers rather than requiring structured management oversight
- Experience embedded in a cross-functional engineering team
- Strongly Preferred Qualifications
- Hands-on experience with graph databases (Neo4j, TigerGraph, or similar) — even at proof-of-concept scale
- Familiarity with graph data models: property graphs, node/edge schema, relationship taxonomies
- Domain knowledge in compliance, KYC/AML, or financial services data — beneficial ownership structures, sanctions screening, PEP designation, corporate ownership chains
- Familiarity with knowledge graph or ontology concepts