Data Analyst

A role that includes planning, implementing, and managing data sources, usage, maintenance of data assets for ongoing analysis, ongoing analysis of all business and data indicators,  creating forecast scripts and methodology, preparation and analyze data for budgeting and UX research

• Knowledge of business domain zone (Preferably Finance);

• Writing SQL scripts to check the correct operation of data sources;

• Control of incidents related to data quality;

• Ensuring compliance with the rules for the collection, storage, and use of data;

• Standardization, Unification of business metrics and terms in the company;

• Interaction with business experts to establish business rules and check their reflection in data sources;

• Interaction with a team of data engineers - Error handling control;

• Ensuring confidentiality and privacy of data;

• Proficiency in English at the level of B2 "Above Intermediate" / C1 "Advanced";

• Python, ML

• Analyze UX research results with advanced statistics methods

• Data visualization, dashboard creation (PowerBi)

• Statistic analysis 

• 3-5 years of experience in data and product analytics;

• Data Analyst (BI) skills: deep understanding of BI, data analysis, visual analysis, knowledge of SQL fundamentals, deep understanding of all the capabilities of BI tools

• Knowledge of the functional area of ​​business (Finance), experience as a financial analyst;

• Advance statistics knowledge;

• Middle Python ML

• Fundamentals of designing and working with corporate storages and data lakes (Data Warehouse, Data Lake), as well as ETL/ELT processes

• Business analysis methods and techniques for identifying and formalizing data requirements;

• Ability to work with large amounts of data and business information;

• Ability to develop technical documentation;

• Understanding data source maintenance processes.
   

• Experience with DataBase Clickhouse, certifications, e-commerce, or automotive domain