Junior Data Analyst
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
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,
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.
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