Аналитик данных

EPAM provides digital platform engineering and software development services to clients across various industries, including finance, telecom, e-commerce, media, insurance, oil and gas, and pharma.

• Supervise, mentor, and inspire a team of data analysts and BI engineers;
• Partner directly with client Product Owners and C-level stakeholders;
• Conduct detailed analysis of business problems, gather functional and technical requirements, and deliver interactive demo sessions;
• Establish and enforce standards for visualization design, report performance tuning, query optimization, and technical QA testing;
• Design and build advanced-level dashboards and interactive reports;
• Architect robust, scalable dimensional data models and implement central Data Warehouse solutions;
• Build, manage, and optimize automated ETL pipelines and maintain data quality workflows;
• Oversee security setups and administer reporting and analytical environments;
• Leverage scripting languages to build advanced analytics models;
• Design frameworks to monitor complex metrics to drive product performance and optimize business processes;

• 5+ Years of experience developing high-performance BI dashboards and data models using tools like Power BI, Tableau, or Metabase;
• 1+ Years of experience leading or mentoring a team of data professionals in an Agile environment;
• Expert-level SQL knowledge and background in relational databases and large-scale columnar/cloud data systems;
• Solid understanding of staging areas, data cleansing, profiling, and modern data architecture concepts;
• Proficiency in Python for data manipulation, automation, or custom analytical scripts;
• Familiarity with cloud technologies, preferably AWS services or equivalent architectures;
• Practical experience working in an Agile development environment with expertise in testing data products;
• Exceptional ability to break down complex technical data structures into clear business insights;
• English proficiency (Upper-Intermediate level or higher);
• Nice to have: Hands-on experience with orchestration frameworks such as Apache Airflow, strong background in corporate financial modeling, KPI setup, budgeting, and auditing procedures, understanding of CI/CD principles and automated deployment frameworks.

• No conditions specified