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LTIMindtree

Data Analyst

LTIMindtree
India · Full-time · Associate

Data Analyst

Exp – 5 to 10 years

Location – PAN INDIA

Notice Period – Immediate to 15 Days

Skills

  • SQL – data management/analysis
  • HL7 V2 Experience (Preferably HL7 Certified)
  • Experience with FHIR
  • UNIX scripting skills
  • Interface (Clinical Rules) development
  • Familiarity with XSLT, XML, JSON
  • Analytical skill set – ability to troubleshoot, identify and resolve Data issues
  • Data Mapping and DTL skills
  • Data Quality engineering (QA)

Responsibilities

  • Monitoring data flows in prod through a mixture of alerts, reports and queries to catch DQ issues in production.
  • Triage the DQ issues caught by prod monitoring as well as SN DQ tickets and identify remediations by working with the submitter
  • Work with the submitter and vendor relationship owners to get the issues resolved. Follow through to get the resolutions resolved fully
  • Manage Vendor release impacts with ECDP, coordinate with product to ensure Vendor releases do not break data processing in ECDP
  • Manage and set expectations with Business counterparts who submits SN tickets for data issue as well as communicate timely till issues gets resolved.
  • Monitor Data ingestion to ensure data is not falling out, work with engineering and product to address platform issues that impact data ingestion and processing
  • Work on data mapping and custom data transformation through Drool rule configurations for submitter onboarding
  • QA to ensure data meets DQ thresholds during submitter onboarding. Work with submitters to address DQ issues before moving submitters to production
  • Mange submitter onboarding deployments
  • Work with engineering on platform issues impacting submitter onboarding

Key Skills

Ranked by relevance

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Posted
Jan 16, 2025
Type
Full-time
Level
Associate
Location
Greater Bengaluru Area

Industries

Health Human Services Retail Health Personal Care Products IT Services IT Consulting

Categories

Health Care Provider Information Technology Engineering

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