Senior Business Analyst - Pricing, AI & Data Readiness

New
B
BPX S.A.Energy
Locations: Warszawa, Wirażowa 119, Warszawa, Country code: pl; 100% zdalnieContractSenior
Salary not disclosed
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Job Details

Required Skills
Artificial IntelligenceBusiness AnalysisMachine LearningGenerative AIData analytics

Requirements

  • Bring senior Business Analyst experience.
  • Have experience in large business-technology transformation projects.
  • Have experience with Data & Analytics.
  • Have experience working with requirements and business processes.
  • Have experience with UAT and implementations.
  • Have experience working with global stakeholders.
  • Pricing experience is an advantage.
  • Business-side experience with AI, GenAI or Machine Learning initiatives, including defining AI use cases, is an advantage.
  • Experience in Data Quality, Data Readiness, BI, analytics, Responsible AI or governance is an advantage.
  • Experience with projects spanning multiple countries or business units is an advantage.
  • Understand work on data-based solutions and act as a link between business, domain experts and technical teams.
  • Building AI models and performing data engineering are not required.

Responsibilities

  • Lead discovery workshops with Pricing, Finance, business, data and technical stakeholders.
  • Identify business problems and improvement opportunities; define personas, current and target processes, pain points and desired outcomes.
  • Translate business needs into business and functional requirements, epics, user stories, business rules and acceptance criteria.
  • Create process maps and user journeys, and maintain traceability from business needs through requirements, testing and adoption.
  • Define and prioritize AI use cases for Pricing, including supported decisions, user interactions, human-in-the-loop processes, success measures and explainability needs.
  • Coordinate data and ground-truth needs, user feedback and pilot evaluation; recommend whether use cases should be scaled, changed or closed.
  • Support data and analytics product backlogs and roadmaps, and coordinate readiness across countries and business units.
  • Coordinate data validation and resolution of quality issues across source systems, mapping, pricing logic, dashboards and downstream consumption.
  • Prepare UAT strategies and scenarios, coordinate testing and retesting, triage defects, and recommend business sign-off and release readiness.
  • Coordinate communications and training, and measure adoption and business outcomes.
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