09/06/2022 updated
SN
100 % available
Data Scientist, BI / Data Analyst, Head of Data Science, Marketing Research Manager
Netherlands
Netherlands
Microsoft WordMicrosoft ExcelAlgorithmsData AnalysisAtlassian JiraTelecommunicationsMicrosoft OutlookDatabasesData EntryData ManagementData MappingData QualityData WarehousingE-CommerceR (Programming Language)
algorithms, python, Data quality, Machine Learning, Excel, Exasol, Alteryx, Qlik, Docker, Jira, Data Warehouse, data mapping, Teradata, PowerDesigner, Data Science, data management, analytics, QlikView, Microsoft SQL, R, ecommerce, data analysis, SPSS, Google, SPSS Modeler, database, Linear Regression, Telecommunication, data entry, Microsoft Office, Word, PowerPoint, Outlook, SPSS (Statistics and Modeler), KXEN, Quantum, Quanvert, MySQL, Google Analytics
Languages
GermanBasic knowledgeEnglishFluentFrenchFluentRomanianNative speakerRussianBasic knowledge
Project history
• Development of new / improved algorithms in R and python for our customers
• Answering sales, marketing and business strategy questions from our customers thru Data quality assessment, Predictive modeling and Machine Learning techniques
• Developing, improving and putting into production customized models: RFM, Lead scoring, CLV, Forecasting, Attribution modeling, Churn score, Recommender model, Market basket
• Technologies used: Excel, Exasol, Alteryx, Qlik Sense, Tableau, R, python, Docker, Jira.
Responsibilities:
* Working in the Morocco team, for the project that consists in implementing a new Data Warehouse
for Societe Generale in north and sub-Saharan Africa.
* Communicating with the client and the business, identifying and analyzing the client´s and
business requirements, processing and implementing them;
* Working on structured analytic concepts and development of detailed conceptual solution;
* Design and description of data models, data transformation and data mapping;
* Documentation of developed solutions;
* Data assessment, preparing of inputs for the team of developers, preparing of testing scenarios
and execution of some tests;
* Design of reports and how to fill them with proper data;
* Technologies used: Excel, Teradata, PowerDesigner, Jira.
* Working in the Morocco team, for the project that consists in implementing a new Data Warehouse
for Societe Generale in north and sub-Saharan Africa.
* Communicating with the client and the business, identifying and analyzing the client´s and
business requirements, processing and implementing them;
* Working on structured analytic concepts and development of detailed conceptual solution;
* Design and description of data models, data transformation and data mapping;
* Documentation of developed solutions;
* Data assessment, preparing of inputs for the team of developers, preparing of testing scenarios
and execution of some tests;
* Design of reports and how to fill them with proper data;
* Technologies used: Excel, Teradata, PowerDesigner, Jira.
Responsibilities:
* Data exploring and statistical modeling;
* Decrypting data for the business side, and decidedly "hands-on" and not just theoretical;
* Deal with very granular data - from data management platform (DMP);
* The ability to use analytics to drive key success metrics related to yield management and
revenue generation;
* Work with others to develop, refine and scale data management and analytics procedures, systems,
workflows, best practices, and other issues;
* Discovering new technologies;
* Coordinate the data science team;
* Technologies used: Excel, QlikView, Microsoft SQL, R, Python, Jira.
* Data exploring and statistical modeling;
* Decrypting data for the business side, and decidedly "hands-on" and not just theoretical;
* Deal with very granular data - from data management platform (DMP);
* The ability to use analytics to drive key success metrics related to yield management and
revenue generation;
* Work with others to develop, refine and scale data management and analytics procedures, systems,
workflows, best practices, and other issues;
* Discovering new technologies;
* Coordinate the data science team;
* Technologies used: Excel, QlikView, Microsoft SQL, R, Python, Jira.