Roles and Responsibilities:
- Analyze available data to provide actionable insights into market behavior, operational efficiency and other key business performance metrics
- Conduct regular analysis of data generated by operations to identify possible improvements and hidden problems
- Investigate business and technical performance issues and find root causes by validating hypothesizes on available data
- Work with stakeholders including the Commercial and Developer teams to assist with reporting and data-related issues
- Maintain and improve Data Team’s analytical toolkit including scripts, tools, repositories and documentation
- Talk with external parties e.g. clients and partners to understand and convey data-related requirements and issues
Skills and Requirements
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Strong analytic skills related to working with structured datasets
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Experience supporting and working with cross-functional teams in a dynamic environment
- University degree in Computer Science, Statistics, Informatics, Information Systems, Quantitative Finance, Mathematics or another quantitative field
- At least Upper Intermediate English Language
- Should also have experience using the following software/tools
- Experience with relational SQL databases
- Experience with object-oriented/object function scripting languages (desirable): C#, Python, Java, C++, Scala etc.
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