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описание
EY is a global consulting and technology company that helps organisations solve complex problems, make better decisions and implement positive change through business, technology, artificial intelligence and human talent. It transforms services, products and organisations, and provides confidence in data, opinions, standards, technology and security.
задачи
Identify, frame and prioritise high-value data and AI opportunities with clients’ business teams
Gather and document business requirements and map related business processes and data
Define success measures and business value cases, ensuring prototypes address genuine business needs
Translate business needs into clear technical requirements, bridging business stakeholders and forward-deployed engineers
Conduct hands-on data analysis, including data profiling and creating simple views or visualisations to assess feasibility and potential value
Shape and prioritise the prototype backlog with the Tech Lead
Support build, pivot or stop decisions based on business value and technical feasibility
Prepare requirements, process maps and data definitions for handover to Solution Engineering teams
Support stakeholder communication, solution demonstrations and early adoption
Apply industry knowledge, particularly in financial services, to account for business and regulatory realities
требования
Bachelor’s degree in a relevant field and approximately four or more years of business analysis experience in technology, data or AI projects, or a master’s degree and approximately three years of relevant experience
Proven experience in requirements elicitation, process mapping and translating business needs into technology delivery
Ability to work confidently with business stakeholders and technical or data-focused teams
Strong problem-framing skills and ability to turn vague needs into clearly defined, buildable problems
Data literacy and practical experience analysing and validating data using SQL, Excel and Power BI
Strong stakeholder management and communication skills for business and technical audiences
Ability to make progress in fast-moving environments with incomplete or ambiguous requirements
Working understanding of data, AI and generative AI concepts, including their capabilities and limitations
Ability to use AI safely and effectively in everyday work
Critical thinking, curiosity and openness to continuous development and new ways of working
Будет плюсом: experience in financial services or another regulated industry, particularly AML/KYC or financial processes; awareness of governance and regulatory requirements, including the EU AI Act and GDPR; experience working on AI, machine learning, generative AI or data projects; experience as an Agile Business Analyst or Product Owner; familiarity with Power BI, Jira and process-mapping solutions; a relevant business analysis, Agile or product management certification such as CBAP; previous consulting experience
условия
Professional and financial support for recognised qualifications and certificates
EY Badges global certification and opportunity to earn an MBA from Hult International School of Business
Career Counselor providing one-to-one career guidance
Free consultations with mental health and personal development specialists, plus educational activities
Benefits include private healthcare with preventive examinations, life insurance, tickets, team sports, a language-learning platform, sports cards and more, available online and offline