Junior Data Analyst


Information Technology
level required
Mid-Senior Level
job timing

Job Description

Data Analyst will support one or more of our Prediction Products using data ingestion and manipulation (ETL, SQL, No-SQL, Spark, maybe Airflow, Python, etc), BI and Dashboarding, use of our Platform and products, and whatever else Product and Research teams need to be successful.

This is a key new role to support us as we go to market with our Predictive Products. In this role, you will primarily be using SQL and Python, occasionally R.


  •  2 years of professional work experience in data analytics related functions.
  • Strong working knowledge of handling large amounts of data (structured /

    unstructured) through SQL, T-SQL or PL-SQL or NoSQL.

  •  Hands on experience with data warehousing 

  • Proven ability for ETL scripting, including integration of data from multiple data

    sources and automation of data processes.

  •  Experience in data wrangling using SQL/Python. Python is our shared

    language, so experience with Python is a big plus.

  •  Experience working with Data Scientists and facilitating production-grade

    Machine Learning models through ETL procedures and other data

    preparation tasks.

  •  Some experience with UI driven data blending tools (e.g. Alteryx, SAS

    Enterprise Guide, Knime, Pentaho). We need to prototype a lot and these

    tools help us get there quickly.

  •  Some experience with BI tools (e.g. Tableau, Power BI, Qlik, Spotfire). Our

    internal and external clients use them heavily.

  •   Knowledge of basic concepts and approaches in Machine Learning.

  • Experience in any of the following industries is an advantage: Retail, FMCG,

    Healthcare, Telecom.

  •   Confident communicator, comfortable leading discussions with non-technical

    team members and clients.

  •   Intellectually curious and enjoys creative problem-solving.

  •   Ability to thrive in a flexible, non-hierarchical and collaborative environment.

  •   Comfort with ambiguity associated with fast paced project work.

Additional Information

What can we offer:

  • Professional development: books, online training
  • Opportunity to attend or speak on conferences
  • Opportunity for travel
  • Flexible working hours
  • Home office opportunity
  • Healthcare benefit package
  • Eye-glasses allowance
  • Excellent salary and compensation package
  • You can choose your working tools (Mac or Windows)
  • Relocation allowance

Place of work: Budapest