Europe / Ukraine / / Kyiv

Data Science

#: 101814-en_US / 101814

Regular

Full-Time

Data Analyst

 

The context

 

Working to guarantee data quality, data reliability and explore alternative solutions to ensure quality results. Actively work on automation projects to reduce time spent on repetitive tasks.

 

Main responsibilities

 

  • Day to day management of a large number of reports to interpret the data and communicate findings to the rest of the team.
  • Ownership of data quality, daily checks of data reliability and explore alternative solutions to ensure quality results
  • Responsible for conducting data investigations to explain and highlight changes in trends.
  • Analyze large amounts of data and an ability to consolidate and translate that data into business insights
  • Monitors and analyzes performance in addition to conducting QC checks.
  • Support a “root cause” culture to ensure that a true resolution is achieved for all performance incidents identified
  • Be knowledgeable on defined procedures, delivery schedules, and SLAs to ensure compliance – Escalate data/tool issues and communicate openly with other Operations teams on issues, handoffs, etc to ensure established deliverables are met
  • Responsible for verifying all backend tasks are performed
  • Proactively work to optimize/improve Operations
  • Actively work on automation projects to reduce time spent on repetitive tasks
  • Create and manage new automation tools (using Javascript, SQL, RPA, Python)
  • Be the owner and responsible for the maintenance of all automation tools used 
  • Support on tools and process documentation
  • Easily provide backup for other team members.
  • Other analogue functions

 

Required skills and experience

 

  • BA/BS degree or equivalent experience
  • 1+ working experience in a data analysis role
  • Ability to speak and write in English fluently and idiomatically
  • Strong proficiency in MS Excel and/or Google Spreadsheet
  • Proficiency with numbers, experience in analyzing large amounts of data, and an ability to consolidate and translate that data into business insight
  • Proficiency with SQL and Python (Pandas and Numpy modules)
  • Detail-oriented
  • Other programming language experience is a big plus
  • Knowledge/experience of Cloud DB (Big Query, AWS, Azure)