Data Analyst

New
S
Svitla Systems Inc.Healthcare Technology
Warszawa, Kraków, Gdańsk, Białystok, Wrocław, Poznań, Katowice, Rzeszów, Zielona Góra, Bytom; Position in Europe, Working hours until 21:00 CETContractSenior
Salary not disclosed
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Job Details

Experience
4+ years
Required Skills
PythonSQLData AnalysisDatabricksHIPAA

Requirements

  • Mandatory experience working in the healthcare domain.
  • 4+ years of professional experience in a related field.
  • Bachelor’s degree in Computer Science, Information Technology, or a related discipline.
  • Moderate to advanced proficiency in SQL.
  • Experience reviewing and understanding complex Python notebooks.
  • Strong data analysis skills and experience working with large datasets.
  • Hands-on knowledge of medical and pharmacy claims processing, eligibility structures, and accumulators.
  • Experience working with regulated data and compliance requirements (GDPR, HIPAA, PHI, PII).
  • Ability to investigate and analyze issues in Databricks.
  • Strong attention to detail, analytical, and problem-solving skills.

Responsibilities

  • Provide technical support to customers by assisting with product-related issues, troubleshooting, and escalations.
  • Monitor inbound and outbound file exchanges, including file receipt, processing, and outbound file generation.
  • Monitor data quality, eligibility, and accumulator performance for assigned vendors and clients.
  • Execute SQL queries to retrieve, update, and analyze data within relational databases.
  • Analyze large datasets to identify trends, investigate issues, and determine root causes.
  • Proactively identify and assess issues, risks, and emerging trends across assigned workflows.
  • Drive the analysis and assessment of issues to determine root causes and develop comprehensive solutions.
  • Develop and implement mitigation plans in alignment with established KPIs.
  • Ensure that data is accurate, secure, and handled in accordance with organizational policies and regulatory requirements.
  • Create and maintain clear documentation for data processing workflows, code, and issue resolution processes.
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