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описание
EPAM develops enterprise software products, open source solutions, accelerators, and advanced people analytics solutions. Its people analytics ecosystem helps top management, resource managers, and business partners gain insights into teams and make informed decisions across Staffing, GDO Operations, and People Management.
задачи
Own the analytics product backlog for Demand Analytics initiatives;
Turn business problems into actionable backlog items, user stories, and acceptance criteria;
Define the business meaning, calculation logic, business rules, users, and decision support for each Demand Analytics metric;
Address edge cases and align metric definitions with stakeholders and the delivery team;
Build working relationships with WPM leaders, Staffing Partners, and other internal stakeholders;
Clarify business needs, challenge vague requests, and turn business questions into practical analytical solutions;
Partner with Data Product Analysts / BI Developers and Data Product Engineers to shape solutions, review logic, clarify requirements, answer questions, and make delivery trade-offs;
Plan and lead training, communications, and change management;
Ensure metric and semantic definitions are governed once and reused across every consumption channel.
требования
Demonstrated hands-on product ownership with user stories, acceptance criteria, a prioritized backlog, and close collaboration with a cross-functional Agile/Scrum team through delivery;
Ability to define KPIs and metrics in business terms and translate them into calculation logic, decision rules, and usable requirements;
Experience validating definitions, assumptions, and edge cases with senior stakeholders and technical team members;
Proven experience on data analytics projects and translating business questions into analytics requirements;
Strong verbal and written communication skills;
Comfortable presenting to senior leaders and aligning business and technical stakeholders;
Experience collaborating with analysts, BI developers, and engineers from discovery through release;
Familiarity with Power BI, Tableau, or similar analytics platforms;
Nice to have: Understanding of Staffing / WPM metrics and resource management processes, experience translating business needs into technical specifications including data freshness, granularity, and semantic requirements, experience with adoption of new tools, processes, or data products including training and communication planning.