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Lead Data Analyst @ emagine Sp. Z o.o.

2 weeks ago


Remote Kraków, Czech Republic emagine Sp. Z o.o. Full time
  • Experience managing teams or pods.
  • Excellent stakeholder management
  • Solid and relevant experience in a similar position.
  • Bachelor's degree in computer science or a mathematical subject; Master's degree preferred.
  • Good knowledge of programming tools, with knowledge of at least one of the following: SAS, Python, PySpark, SQL or Hadoop Big Data.
  • Experience in business analysis, including requirements gathering and specification.
  • Ability to understand complex data architecture.
  • Good organizational, analytical, problem-solving and project management skills. Ability to perform multiple tasks simultaneously and work under time pressure.
  • Knowledge of JIRA, Confluence and Monday.com.

NICE TO HAVE:

  • Knowledge of banking risk data, systems and risk models.
  • Experience working with Prophecy.

PROJECT INFORMATION:

  • Industry: Banking
  • Location: Krakow (possibility of working completely remotely)
  • Project language: English. Polish

WE OFFER:

  • Interesting and stable development projects and long-term cooperation.
  • Attractive remuneration in the B2B model depending on competences and experience.
  • Occasional company integration meetings.
  • Referral program.
  • Emagine mobile app – easy reporting of work time, quick access to new offers.
,[Independently assemble, test, and evaluate source data for robustness and fitness for purpose., Learn and comprehend source systems, data models, and data standards., Collaborate with model development and monitoring teams to resolve data quality issues, collaborate with project teams on new data acquisitions or assets, and ensure data governance and compliance., Build ETL pipelines to serve data to the platform., Collaborate on designing data architecture, application, and business process architecture roadmaps to support future environments., Prepare and disseminate effective materials to key business stakeholders at all levels of seniority., Manage relationships across key functional teams., Work with management to prioritize business and information needs., Identify and drive opportunities for process improvement.] Requirements: Stakeholder management, Degree, SAS, Python, PySpark, SQL, Hadoop, Big Data, Business analysis, Requirements gathering, Project management, Jira, Confluence, Prophecy