Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Our company of 2000+ employees has presence across 12 global locations, including the United States, UK, Australia, Switzerland, Singapore, Canada, China, Germany, Sweden, the Netherlands, Ukraine and India.
26 октября 2021

Data Analyst (SQL, Python) (вакансия неактивна)


Необходимые навыки

— 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.