Data Analyst (SQL, Python) (вакансія неактивна)

— 2+ years of relevant experience in data analytics/predictive modelling
— Good knowledge of SQL & Python/R
— Good knowledge of statistical approaches and ML algorithms such as general linear model, ANOVA, decision trees, linear regression, Bayesian etc
— Knowledge of data conversion strategy, capturing data, creating source to target definitions for ETL/ data flow process, data quality, and database management
— Creative thinking, problem-solving and communication skills
— Upper-intermediate English.

— Best team: a multicultural team of bright specialists and friendly, helping people;
— Challenge: plenty of complex and exciting projects from international clients;
— No micromanagement: we encourage self-organization and trust;
— Income: competitive salary and end-year bonus;
— Vacation: paid leave of 27 business days per year;
— Learning and professional development: access to company learning platforms with free courses, external certifications and learning programs, free English classes;
— Being healthy: free health insurance;
— Communication: company parties, celebrations, workshops in different locations, cross-locations and cross-projects exchange programs.

— Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems.
— Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution. 
— Conduct research, prototype models, gather data, scope and design architecture for solutions; consult clients and internal stakeholders on advanced statistical and ML problems.
— Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes.
— Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently.