We are looking for a proactive, committed individual who will be accurate, conscientious and independent in their work. We value in an employee communication skills and a desire for intensive development in areas related to data analysis and machine learning. In this position, you will be responsible for supporting the team in solving business problems using data analysis methods (data science) in cooperation with the customer service department.
Main tasks:
- Establish requirements and scope of analytical needs with business users;
- Preparing reports and performing analysis as agreed;
- Exploring databases (customer segmentation, scoring models, basket analysis, forecasting, recommendation models);
- Working with MS SQL databases and unstructured data;
- Drawing conclusions and presenting results (also in English);
- Automating reporting and data processing;
- Participating in working meetings with clients as needed;
- Continuous development and enhancement of competencies.
Qualifications:
- Education (may be in the course of study) in line with the job profile (data analysis, statistics, quantitative methods, computer science and econometrics, information technology, mathematics) or qualifications documented by other adequate means;
- Knowledge of data analysis methods and statistics;
- Basic knowledge of data mining methods;
- Good knowledge of SQL;
- Basic knowledge of R or Python (optional);
- Very good knowledge of English;
- Ability to present analysis results in a way that is understandable to a business audience.
We offer:
- Employment contract / B2B contract;
- Necessary work tools;
- Private medical care (Luxmed);
- Opportunity to contribute to Mybenefit Multisport card;
- Possibility to work remotely in a hybrid system;
- Optional: flexible working hours;
- Opportunity to participate in English language learning classes;
- Access to online course platform, subsidized training and courses;
- Development in a rapidly growing company, participation in innovative projects;
- Real impact on the development of the company.
Please send your CV to contact@datasciencelogic.com in the title of the message, writing the position for which you wish to apply.
Please be advised that the data administrator is Loyalty Point Sp. z o.o., 1 Franciszka Klimczak St., klatka B. Contact with the company: at the company’s headquarters and by e-mail: kontakt@loyaltypoint.pl tel. +48 22 608 52 70, contact with the company’s Data Protection Inspector: iod@loyaltypoint.pl.
