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Senior Data Analyst

Data Science, Azure Databricks, Predictive Analysis, PySpark, Python

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