Senior Data Analyst (Graph)

The Senior Data Analyst is embedded in the engineering team at DS STREAM, working on data integrity related to Knowledge Graphs and multiple storage technologies including graph databases and Databricks.

• Practical experience applying statistical methods to data quality: distribution analysis, outlier detection, variance analysis, sampling validation
• Ability to interpret benchmark result data and distinguish meaningful performance differences
• Cross-technology proficiency including querying data in PostgreSQL, graph databases, and Databricks
• Experience with Databricks or similar platforms such as Spark, Delta Lake
• Strong written communication skills for clear reporting to engineers and stakeholders
• Ability to work independently with minimal supervision
• Experience working embedded in cross-functional engineering teams
• Hands-on experience with graph databases such as Neo4j, TigerGraph, or similar
• Familiarity with graph data models: property graphs, node/edge schema, relationship taxonomies
• Domain knowledge in compliance, KYC/AML, or financial services data beneficial
• Familiarity with knowledge graph or ontology concepts

• Validate datasets loaded into each technology to confirm completeness, accuracy, and structural integrity relative to source data in Databricks and CDS
• Verify benchmark query outputs across technologies to confirm consistent, correct results
• Identify, document, and trace root causes of data discrepancies and defects distinguishing between ETL issues, schema errors, and data quality problems
• Develop and maintain validation test cases and expected outputs for benchmark queries and compliance use cases
• Support collection and documentation of compliance use cases from the business unit
• Assess whether use cases require conventional databases or graph database traversal and pattern-matching
• Contribute analytical rigor to use case triage, balancing cost, complexity, and technical needs