Data Analysis/Business Intelligence

at  Epam Systems

DESCRIPTION

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We’re seeking a Data and Business Intelligence Analyst to join our team. In this role, you’ll transform raw data into strategic insights that drive our business decisions. You’ll collect, analyze, and interpret data, develop visualization dashboards, and communicate insights to stakeholders. Your collaborative skills will be key in working with business leaders to tackle data-driven challenges. Join us and make a significant impact with your data expertise.

REQUIREMENTS

• Bachelor’s degree in business intelligence, data analytics, or a related field
• 3+ years of experience in data analysis or business intelligence
• Strong understanding of data analysis techniques, such as statistics, machine learning, and data mining
• Proficiency in data visualization tools, such as Tableau, Looker, Plx, GSheets
• Excellent communication and presentation skills
• Strong problem-solving and analytical skills
• Ability to work independently and as part of a team
• Proactive attitude with the ability to identify bugs/errors and troubleshoot independently

• Collect and clean data from various sources (GSheets proficiency is a plus)
• Analyze data to identify trends and patterns
• Develop and implement data visualization dashboards and reports
• Communicate data insights to stakeholders clearly and concisely
• Collaborate with business leaders to identify and address data-driven challenges
• Design and engineer data solutions using SQL to build robust and scalable scripts and workflows that automate data collection, enrichment, and delivery
• Work independently to identify and solve problems, and collaborate effectively within a team to develop comprehensive solutions
• Transform raw data into compelling visualizations and reports that clearly communicate key findings and actionable recommendations to stakeholders across the organization