ENGLISH: Fluent, international team, good command of written and spoken English is required.
Understanding business challenges around the Revenue management space
Identification, organization, and ingestion of data, spread across multiple sources (operational, analytical, and reporting)
Analyze and organize raw data
Build data systems and pipelines in collaboration with stakeholders and team members to analyze user needs and develop data integration solutions.
Evaluate business needs and objectives and adhere to data architecture strategy, best practices, standards, and roadmaps
Conduct data assessment, perform data quality checks, transform and load raw data using SQL and ETL tools. Your work will contribute to the overall implementation of product solutions
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Technical capability to develop and implement data identification, ingestion and integration solution Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Dynamic startup environment with international team
Learn from industry experts from Commodities / Consumer Goods / System Integrator companies
Work remotely or on-site in Poland / Hungary. Work permits and salary negotiable depending on skill level of the candidate.
Big Data: Spark, Hadoop, Hive;
Cloud: Azure — Storage; Compute; Networking; Identity and Security; Notebooks; Data Catalogs;