Padmi

Senior Data Analyst Knowledge Graph

MumbaiPosted 2 months ago
Data Science And StatisticsSeniorFull Time; Regular
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Hybrid Pune 35 yrs Apply by Jul 24, 2026 Senior Data Analyst Knowledge Graph Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide. Experience 35 yrs Employment Type Full-time Openings 3 positions Apply By Jul 24, 2026 Required Skills Knowledge Graph Job Description Senior Data Analyst Knowledge Graph Pune Full-time Hybrid About the Role The Senior Data Analyst will be part of the Data Engineering team, responsible for validating datasets, verifying benchmark query outputs, and tracing root causes of data discrepancies. The role requires close collaboration with Senior Data Engineers and contributes to the team's architecture assessment and technology recommendation. Success in this role means ensuring data quality, accuracy, and consistency across various technologies. Key Responsibilities Validate datasets loaded into various technologies, including PostgreSQL, Neo4j, TigerGraph, NebulaGraph, ArangoDB, and MongoDB, to confirm completeness, accuracy, and structural integrity. Verify benchmark query outputs across technologies to ensure consistent and correct results. Trace root causes of data discrepancies and defects, distinguishing between ETL issues, schema translation errors, technology-specific behavior, and upstream data quality problems. Develop and maintain validation test cases and expected outputs for benchmark queries and compliance use cases. Support use case collection and triage, documenting compliance use cases and assessing which use cases require graph database capabilities. Apply statistical methods to evaluate dataset representativeness, sampling quality, and measurement reliability across benchmark runs. Produce data quality reports and summary statistics to inform the team's architecture assessment and technology recommendation. Maintain a running defect log tracking known data issues, their root cause classification, and resolution status. Requirements Develop and maintain hands-on experience with graph databases, such as Neo4j, TigerGraph, or similar. Apply familiarity with graph data models, including property graphs, node/edge schema, and relationship taxonomies. Utilize domain knowledge in compliance, KYC/AML, or financial services data, including beneficial ownership structures, sanctions screening, and corporate ownership chains. Leverage familiarity with Bureau van Dijk / Orbis data or similar large-scale entity relationship datasets. Apply familiarity with knowledge graph or ontology concepts. Have 3-5 years of experience in a related field. At a Glance Work ModeHybrid EmploymentFull-time Experience35 yrs Openings3 LocationPune DeadlineJul 24, 2026 [ Hiring process ] What to expect Four stages, typically completed within 23 weeks. We respect your time every stage has a clear purpose and timely feedback. STEP 0130 min Screening Call Introductory conversation with our talent team to understand your background and motivations. STEP 026090 min Technical Round Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth. STEP 0345 min Culture Fit Conversation with practice leadership covering working style, ownership, and how you collaborate. STEP 04Within 5 days Offer Formal offer with full compensation breakdown, start date, and onboarding plan. Hybrid Pune 35 yrs Apply by Jul 24, 2026 Senior Data Analyst Knowledge Graph Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide. Experience 35 yrs Employment Type Full-time Openings 3 positions Apply By Jul 24, 2026 Required Skills Knowledge Graph Job Description Senior Data Analyst Knowledge Graph Pune Full-time Hybrid About the Role The Senior Data Analyst will be part of the Data Engineering team, responsible for validating datasets, verifying benchmark query outputs, and tracing root causes of data discrepancies. The role requires close collaboration with Senior Data Engineers and con

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