Data Analyst (вакансія неактивна)

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

Responsibilities:

• 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

Qualifications (Essential)

• 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
• 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, business information;
• Ability to develop technical documentation;
• Understanding data source maintenance processes.
  

Qualifications (Desired):

Experience with DataBase Clickhouse, certification, e-commerce or automotive domain, Python ML, PowerBi

Experience:

• 3-5 years of experience in data and product analytics;
• Knowledge of the functional area of ​​business (Finance), experience as a financial analyst;
• Excellent communication skills
• Strong analytical skills with the ability to analyze data and identify patterns, deviations
• Ability to work with large amounts of data, business information

What do we offer?

• Competitive salaries based on your professional experience
• Fast-growing international company with stable employment
• Annual vacation of 28 working days and 1 additional day off on your birthday
• Mental Wellbeing Program — the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
• Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform) and coaching
• Free English and German language classes
• Flexible working hours and hybrid work