This position is responsible for supporting the in-house development activities as part of the Technical Support team to be able to plan and optimize tasks.
Your tasks and responsibilities will be (but not limited to):
Design and develop databases and queries (SQL),
Create database reports (Tableau),
Analyze time series data sets (Big Query, Tableau),
Develop Machine Learning models and deliver cloud-based solutions for complex use cases to maximize the business value of data as an asset. (Product Insights),
Test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization,
Evaluate the performance of the product (both scientifically as well as from a business perspective),
Support data-driven decision-making,
Work together with Tech Support teams in Hungary and in the USA as well
Requirements and ideal professional experience:
You have excellent communication skills both in Hungarian and English,
You are familiar with leading visualization tools (Tableau, Data Studio),
You have practical experience with cloud-based Big Data services (Google Cloud Platform preferred),
You have experience in data manipulation: use of structured data tools (e.g. SQL), unstructured data tools and platforms (GCP Big Query),
You are able to translate technical content to business audiences in a way that delivers the most value.
Advantages in fulfilling the position:
Bachelor’s or Master’s (or equivalent) in quantitative fields like Data Science,
Competent in statistical packages and ML libraries (e.g. Python, SciPy, NLTK, Keras, H2O),
Mathematics, Statistics, Economics, Computer Science or Engineering background,
1+ year data analytical or data science experience.
What we offer:
Competitive salary package,
Hybrid and flexible working model - because we are working with our American partners, we expect the ideal candidate to be flexible for meetings (once-twice/week) in the PM hours,
Stress-free environment and a great, motivating team to work with,
In-house English courses,
Monthly team building opportunities.