Senior Data Analyst

We are seeking an experienced remote Senior Data Analyst to join our team.

You will be responsible for analyzing complex data sets, developing insights, and providing recommendations to drive business decisions. The ideal candidate will have a strong background in Data Science and Data Engineering, with experience in Machine Learning applications. As a Senior Data Analyst, you will work collaboratively with Business Analysts, Data Scientists, and other stakeholders to deliver valuable data-driven insights to the business.

Responsibilities

• Work with Business Analysts and other stakeholders to define and understand business requirements
• Develop and maintain data models and algorithms to analyze complex data sets
• Provide insights and recommendations based on data analysis to support business decisions
• Communicate findings and insights to stakeholders in a clear and concise manner
• Continually improve data analysis processes and tools to increase efficiency and effectiveness

Requirements

• 3+ years of experience in Data Science and Data Engineering
• Expertise in Machine Learning applications and algorithms
• Strong programming skills in languages such as Python or R
• Excellent analytical and problem-solving skills
• Bachelor’s or Master’s degree in Computer Science, Statistics, or related fields
• B2+ English level

Nice to have

• Experience with cloud-based data platforms such as AWS or Azure
• Familiarity with SQL databases and data warehousing
• Knowledge of data visualization tools such as Tableau or Power BI

We offer

• 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

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology, Engineering, and Research

Industries

Software Development, IT Services and IT Consulting, and Oil, Gas, and Mining