Engineering, Data Analysis / Data Science
Work experience in database engineering, business intelligence or business analytics
Experience in writing complex, highly-optimised SQL queries across large sets
Experience in programming languages like Java, Python, C#, Node etc.
Demonstrated strength in modelling, development, and warehousing
Experience in usage of cloud infrastructure services (Azure, AWS, Google Cloud ...)
Personality, mindset and working practice:
Strong analytical skills as well as entrepreneurial thinking and acting
Structured and goal-oriented
Abstraction and structuring ability of complex technical structures
Good communication and team skills
Extra (bonus) qualifications:
Experience with columnar storage, OLAP data structures and warehouse-specific storage models like Star and Snowflake schemas
Advanced knowledge of data modelling, statistical computing and data visualisation in tools/languages such as Python, Tableau and R
Experience with analytical tools, programs and CDPs such as Rudderstack, dbt, Airbyte, Fivetrain, Segment and Snowplow
Experience with data warehouse environments such as BigQuery, Redshift, Snowflake and PostgreSQL
Knowledge of common BI reporting tools such as Tableau, Metabase, Google Data Studio, PowerBI, Qlik, SAP Business Object...
about the company
GenePlanet is an innovative, high-tech company based in Ljubljana, present in over than 30 countries. Our main activity is research and development of products from the field of biotechnology, where we specialise in genetic testing and analyses in the field of human genetics.
"Check out our website and our values!"
your area of responsibility
Build complex ELT pipelines with multiple disconnected sources and noisy data, build out new API integrations and support continuing increases in data volume and complexity
Identify and build warehouse-optimized denormalized datasets
Implement advanced transformations in SQL and dbt
Define key performance indicators, identify the correct data sources and prepare data models available for BI reporting tools (PowerBI, Metabase) to gain product and business insights such as customer acquisition and behaviour
Define, document and refine web tracking concepts (for hybrid web application) for our product teams in close collaboration with app developers and data analysts
Work with stakeholders including the Executive, Product, Marketing and R&D teams to assist with data-related technical issues, support their data infrastructure needs and get relevant data to them quicker while maintaining the data reliability and quality
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
Above-standard and modern work environment that offers creativity and relaxation (use of the slide at your own risk 😉)
Dynamic work in a young, creative and promising team
Facing challenges that enable growth on a personal and professional level
Our kitchen is always full of fresh fruit, coffee and other beverages and snacks that provide refreshment during work