Position: Consultant Data Analytics
Company: Fractal Analytics
Category: SQL
Experience required: 3y
English level: upper

Required skills: 

- 2-6 years of relevant experience in Advanced analytics/Predictive Modelling using Python/R, SQL and Machine Learning 
- Expert-level proficiency in statistical/ML predictive techniques such as regression 
- Expertise in Python/R, SQL & advanced analytics/Statistics Techniques 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.  

As a plus:  

- Team management & project management experience (leading at least one client independently)   
- Job Responsibilities:  
- 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. 

We offer: 

- 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.