Pricing Analyst: Autonomous, AI-Enabled Insights

Euroclear

Kraków

Hybrid

PLN 90,000 - 130,000

Full time

2 hours ago

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Job summary

Euroclear in Kraków seeks an experienced pricing analyst to support pricing decisions across products, entities and client segments. You will analyse pricing data, build simulations and drive data-driven insights for senior stakeholders.

You will collaborate with Product, Commercial, Finance, Legal, Operations and BI teams to ensure coherent pricing design and governance. The role emphasizes autonomy, accuracy and proactive improvement in a global, hybrid environment.

Qualifications

Bachelor’s or Master’s degree in business, finance, economics, engineering, mathematics, data analytics or a related field.
3–5 years’ relevant experience in financial services, pricing, business analytics, financial modelling, product performance or a related analytical role.
Able to perform independently within a defined scope, structure complex analyses, draw sound conclusions and make practical recommendations.
Good understanding of financial industry complexity, with the ability and willingness to build deeper knowledge of Euroclear’s products, clients, services and pricing frameworks.
Strong stakeholder mindset: able to coordinate with different teams, explain analytical outcomes clearly and support fact-based discussions.
Proactive, organised, accurate and delivery-focused, with the ability to manage priorities and deadlines in an international environment.

Responsibilities

Pricing analysis and insight generation: gather, structure and analyse pricing, revenue, profitability, client and product data to identify trends, deviations, opportunities and risks.
Simulations and impact assessments: build price simulations, scenario analyses and financial impact assessments to support pricing initiatives, tariff changes, client-specific conditions and strategic reviews.
Benchmarking and performance monitoring: contribute to competitor analysis, market benchmarking, KPI monitoring and management reporting to support fact-based pricing recommendations.
Decision support and documentation: translate complex analysis into clear insights, reports, presentations and decision material for pricing managers, product teams and senior stakeholders.
Cross-functional collaboration: work closely with Product, Commercial, Finance, Legal, Operations and Business Intelligence teams to ensure pricing design, governance and implementation are coherent and operationally feasible.
Continuous improvement: contribute to better data quality, pricing tools, dashboards, automation and AI-enabled analytics to improve efficiency, consistency and decision support.