Our mission is to turn data into actionable knowledge. This will require a blend of problem solving, analytical, technical, and communication skills. Advanced experience of specific technologies is a plus:
— BI tools: Power BI, intermediate or advance knowledge is a MUST
— Databases SQL
Python, Data Science, Statistics background; AWS/Azure/GCP — Notebooks; Data Catalogs;
Work in a dynamic startup environment with international colleagues;
Learn from people with 15+ years of experience in Commodity / Consumer goods / System Integration markets
Work remotely or on-site (Hungary), work permits discussable
Salary negotiable, based on candidate’s skills
Understanding business challenges around the Revenue management space like Pricing, Inventory, Marketing Mix etc
Finding the right data and methods to address them.
Presenting the findings in a clear and informative way.
Advising best approaches / recommendations
Analytics and Data related knowledge
Building Data Dictionary (definitions of all data items contained within the data warehouse)
Relationship Diagrams (document the data structure of the systems, their relationships, data hierarchies, and data refresh timeline)
Architecture Document (Solutions and technical interfaces, hardware, application, connectivity)
Standards (naming conventions, interface guidelines, reporting structure, UI expectations, security/access)
Should be able to (in order of priority):
Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters.
Create high-quality self-explanatory data visualizations.
Presenting findings to all levels of management
Understanding and communicating business requirements
Identify, analyze, and interpret trends or patterns in complex data sets with the use of advanced analytics
Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
Assist in maintaining databases/data systems
Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems
You will work with cross-functional team members to identify and prioritize actionable, high-impact insights across a variety of core business areas.
Review and validate customer data as it’s collected
Oversee the deployment of data to the data warehouse
Develop policies and procedures for the collection and analysis of data
Implement new data analysis methodologies
Review customer files to ensure integrity of data collection and utilization
Perform data profiling to identify and understand anomalies
Requirements (in order of priority):
Aptitude for problem solving
Knowledge of at least one of the industries: CPG, Retail, Lifesciences
Proven working experience as a Business intelligence analyst
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Must have broad knowledge of information technology trends.
Can do mentality, pragmatic and result focused, team player.
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
You are expert in analyzing large, complex, multi-dimensional datasets with a variety of tools. You are accomplished in the use of statistical analysis environments such as R, Python, Java, (Matlab/SAS/SPSS).
Adept at queries, report writing and presenting findings.