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Data Analyst
Prague, Czech Republic
Hybrid
Who We Are
Role Description

Market Access & Revenue Management (MARM) data delivery team is an established team within HH IT organization which develops and maintains applications for tender and price management or reimbursements. It also maintains a central data hub where all application and other enterprise data needed is stored. As a data analyst you will be working on a TRACT project - "Transaction Actuals" - with the aim to optimize scaling of innovative contracts, drive further insight in product, customer, and deal performance; and develop new pricing models. This will be a large cross-department collaboration program that will require communication with other department analysts and architects across the company.

Activities:

  • Work with TRACT product team to analyze requirements in terms of data analysis.
  • Work with the solution architect to complement the architecture with greater detail of analysis.
  • Analyze data in enterprise systems and establish connections between them.
  • Together with technical product owners, business SMEs and the solution architect, come up with matching mechanisms between different datasets.
  • Work with the data ingest & modelling team to establish new data sources.
  • Analyze epics and features prepared by product teams and provide guidance and proposals after conducting data analysis.
  • Together with the solution architect, collaborate on data architecture for new features.
  • Understand how AWS data warehouse works (S3 and Redshift)
  • Describe transformation logic from source to target and design ETL.
  • Communicate with data source owners, architects, and other team members.
  • Create and maintain data lineage and other documentation.
  • Implement improvements to existing data mappings.
  • Analyze data quality issues.

We Expect You to Have:
  • Experience with above activities
  • Advanced experience with SQL
  • Very proactive and self-driven
  • Strong communication skills and ability to drive and facilitate data analysis sessions.
  • Experience with agile way of working on a larger project/product (working in a delivery squad following agile practices)
  • Hands-on experience with a standard relationship database (Oracle, Teradata, MS SQL), AWS Redshift is an advantage.
  • Hands-on experience with AWS technologies (S3) is an advantage.
  • Deep understanding of data analysis techniques and data science tools (e.g. DataIKU).
  • Familiar with data warehouse architecture, understanding of data warehouse concepts.
  • Data oriented, structured, logical thinking.
  • Experience with working in global projects across multiple time zones.
  • Experience with JIRA and Confluence is an advantage.
  • Experience with modern data governance tools (e.g. Collibra) is a nice to have

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