BPX S.A.

Senior Business Analyst - Pricing, AI & Data Readiness

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SeniorZdalnie·WarszawaFull-time

#454738·Dodano miesiąc temu·1

Źródło: BPX

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Tech Stack / Keywords

AIGenAI Machine LearningPricingData QualityData ReadinessBIAnalyticsResponsible AI

Firma i stanowisko

Senior Business Analyst role in an international transformation program for a large organization in the energy sector. The role focuses on Pricing, AI, and Data & Analytics and involves working on AI initiatives in pricing processes and preparing data, processes, and the organization for scaled implementation of new solutions.

Wymagania

Experience as senior Business Analyst.
Experience in large business and technology transformations.
Knowledge of Data & Analytics.
Experience handling requirements and processes.
Experience with UAT and implementations.
Experience working with global stakeholders.

Nice to have:

Experience in Pricing.
Experience with AI / GenAI / Machine Learning initiatives from a business perspective.
Experience in defining AI use cases.
Knowledge of Data Quality / Data Readiness.
Experience with BI and analytics.
Knowledge of Responsible AI or governance.
Experience in projects across multiple countries or business units.
Understanding of data-driven solution workflows and ability to connect business, domain experts, and technical teams effectively.

Obowiązki

Discovery and Business Analysis:

Conduct workshops with Pricing, Finance, business, data teams, and technical stakeholders.
Identify business problems and improvement opportunities.
Define personas, AS-IS/TO-BE processes, pain points, and expected results.
Translate needs into business and functional requirements.
Create epics, user stories, business rules, and acceptance criteria.
Build process maps and user journeys.
Maintain traceability between business needs, requirements, tests, and solution adoption.

AI use cases in Pricing:

Define and prioritize AI use cases.
Determine business decisions supported by solutions.
Define user interactions with solutions.
Establish human-in-the-loop models.
Define expected results and success metrics.
Specify explainability needs.
Collaborate on data and ground truth for solution evaluation.
Coordinate user feedback and pilot evaluation.
Recommend scaling, changes, or closure of use cases.
Address business aspects of Responsible AI, data protection, security, and required approvals.

Data readiness:

Support backlog and roadmap of data & analytics products.
Coordinate readiness of countries and business units.
Support data validation and quality issue resolution.
Analyze issues with source systems, mapping, pricing logic, dashboards, and downstream consumption.
Improve business rules and validation scenarios.
Maintain visibility of open data-quality issues, decisions, and corrective actions.
Prepare user materials, communication, and documentation for global and local teams.

UAT, rollout, and adoption:

Prepare UAT strategy and scenarios.
Coordinate tests and retests.
Conduct defect triage.
Recommend business sign-off.
Assess release readiness.
Manage communication and training.
Measure adoption and business outcomes.

Benefity

B2B cooperation.
100% remote work.
Long-term collaboration.
Project with a large organization in the energy industry.
Work on initiatives combining Pricing, AI, and Data & Analytics.
International environment.
Opportunity to work on AI projects from discovery and use case definition to pilot, implementation, and business effect evaluation.

BPX S.A.

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