Data Analyst
Lisbon-office
Curious minds, adventurous experts, and tech-savvy professionals - one team, one billion euros in revenue. Catch the ride!Job Description
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
Requirements:
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.
Nice to have:
Experience with DataBase Clickhouse, certifications, e-commerce, or automotive domain
What do we offer?Competitive salaries based on your professional experience
Fast-growing international company with stable employment
Annual vacation of 22 working days and 1 additional day off on your birthday
Meals Allowance
Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members 24/7 hotline and online sessions
AUTODOC Corporate Discount (1,080 Euros per annum) to order parts for their own use at special discounted rates
Retail discounts of up to 75% on travel, technology, fashion and much more
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
Join us today and let’s create a success story together!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Data quality Data visualization Data warehouse E-commerce ELT ETL Finance Machine Learning Power BI Privacy Python Research SQL Statistics UX UX Research
Perks/benefits: Career development Flex hours Flex vacation
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