Бизнес аналитик

EPAM provides digital platform engineering and software development services, helping global clients across various industries, including oil & gas, finance, retail, and healthcare, to drive data-driven digital transformation.

• Contribute to the design, development, and upkeep of dashboards, interactive charts, and reports while adhering to visualization best practices;
• Work alongside the development team on complete data migration and modernization projects, covering ETL processes, data extraction, transformation, and loading;
• Facilitate meetings and workshops with clients and stakeholders to identify and rank business needs;
• Convert requirements into actionable insights, encouraging smooth cooperation with the delivery team across the entire project lifecycle;
• Carry out data discovery, data assessment, and data profiling through SQL queries;
• Develop source-to-target mappings, data models, data flows, and associated requirements documentation;
• Structure and manage backlogs containing epics, features, and stories;
• Engage in and lead Agile ceremonies (Sprint Reviews, Daily Stand-Ups, Planning, Refinements, Retrospectives);
• Run User Acceptance Testing alongside customer stakeholders;
• Create high-quality post-development and post-production materials;
• Oversee and safeguard the quality and dependability of deliverables, operating both independently and together with the development team and customer stakeholders.

• More than 5 years of experience in data-related projects such as data migration, data transformation, data governance, BI, or AI;
• Over 3 years of expertise managing BI, DWH, Data, and Analytical project requirements including collecting, documenting, presenting, estimating, and prioritizing;
• Skilled in complete data and analytics project delivery utilizing Agile and Waterfall methodologies;
• Demonstrated experience handling large datasets and conducting data profiling with SQL queries;
• Solid grasp of DWH fundamentals, Data Modeling, and Data Quality;
• Competence in creating source-to-target mappings for data ingestion, curation, and related processes;
• Hands-on experience with BI tools like Power BI or Tableau for data transformation, modeling, and visualization;
• Outstanding written and verbal communication abilities;
• Capacity to generate high-quality documentation and reports;
• Driven, capable of operating with little oversight, and able to lead client interactions;
• English level B2+/C1;
• Nice to have: Experience handling data on cloud platforms such as Azure, AWS, and GCP, capability to build prototypes and mock-ups, knowledge of the Data Governance framework, experience partnering with data scientists and specifying requirements for AI-focused features, awareness of AI tools for BI analysis, information elicitation, documentation, agile workflows, and data analysis, sector knowledge in oil and gas, finance, insurance, supply chain, or marketing, capacity to serve as a Data Product Owner on analytical projects.

• No conditions specified