Senior Data Analyst

Identify the business problems

Find the right data and methods to address them

Build and validate analytical models

Present the findings in a clear and informative way

Convert large volumes of structured and unstructured customer data using advanced analytical solutions

Use and fit different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions

Turn analyzed data into actionable insights and business value

Create high-quality data visualizations

Communicate effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters

3+ years of experience as Data Analyst

Aptitude for problem solving

Data focused applied mathematics (statistical analysis, machine learning)

Decent communication / presentation skills (including working English proficiency)

RDBMS / SQL knowledge

Programming experience (Python preferred)

Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc

Bachelor’s / Master’s Degree in Computer Science, Math, Applied Statistics or a related field

A few years of experience in data mining, statistics or machine learning

Data visualization skills

Agile

SDLC Methodologies

Spark / MLlib

NLP / text mining

Proficiency with at least one of the Cloud providers

International projects with top brands

Work with global teams of highly skilled, diverse peers

Healthcare benefits

Employee financial programs

Paid time off and sick leave

Upskilling, reskilling and certification courses

Unlimited access to the LinkedIn Learning library and 22,000+ courses

Global career opportunities

Volunteer and community involvement opportunities

EPAM Employee Groups

Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn