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We are currently seeking an experienced Senior Data Analyst to join our remote team and work on a cutting-edge project that involves predictive analysis and data science. As a Senior Data Analyst, you will be responsible for analyzing large datasets, building predictive models, and creating visualizations to communicate insights. You will collaborate with cross-functional teams to identify and solve complex business problems and contribute to the development of innovative solutions.
Responsibilities
- Analyze large datasets, identify patterns and trends, and build predictive models to support business decisions
- Develop and maintain data pipelines using PySpark and other data integration tools
- Create visualizations and dashboards to communicate insights and findings to stakeholders
- Collaborate with cross-functional teams to identify and solve complex business problems
- Contribute to the development of innovative solutions using data science techniques and methodologies
Requirements
- 3+ years of experience in data analysis, with a strong focus on data science
- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
- Proven experience in working with Azure Databricks, PySpark, and Python
- Strong knowledge of statistical analysis and machine learning techniques
- Ability to work independently and manage multiple projects simultaneously
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams
- Fluent English language skills with an Upper-Intermediate level or higher
Nice to have
- Experience in R language and time series analysis
- Experience with CRM Technologies and Data Modeling Fundamentals
Benefits
- 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