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- Work model
- Hybrid
- Experience
- Not specified
- Employment
- Full Time
- Compensation
- Not disclosed
- Technology signal
- 5 tags
Technology context
5Parsed from the vacancy text; ordered by relevance to this role.
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Role description
About the role
In this role, you will help organizations unlock business value from data, analytics, and AI initiatives. As part of SoftServe's Data & Analytics Center of Excellence, you will lead discovery activities, shape solution vision, and bridge business and technical teams to deliver impactful, data-driven outcomes for global clients
Responsibilities
- Lead discovery activities to identify business goals, stakeholder needs, data challenges, and solution opportunities
- Facilitate workshops, interviews, and requirements sessions with business and technical stakeholders
- Translate business needs into user stories, process flows, requirements, acceptance criteria, and AI use case definitions
- Define KPIs, reporting needs, business rules, data mappings, and success metrics for analytics and AI solutions
- Collaborate with product owners, architects, engineers, BI developers, and QA teams to ensure successful delivery
- Support pre-sales initiatives through discovery workshops, solution scoping, estimation, and proposal preparation
- Analyze business processes and identify opportunities for improvement through data, analytics, automation, and AI
- Maintain project documentation and support backlog refinement, prioritization, testing, and stakeholder alignment
Requirements
- Strong experience as a Business Analyst, Data Business Analyst, Analytics Consultant, or similar role in data-driven environments
- Practical background in analytics, BI, reporting, data platforms, AI/ML, or digital transformation initiatives
- Advanced experience with requirements elicitation, stakeholder management, workshop facilitation, and process modeling
- Proven ability to lead discovery and pre-sales activities, including solution definition and effort estimation
- Good understanding of data concepts, including KPIs, dashboards, data quality, data mapping, and ETL/ELT processes
- Familiarity with AI and Generative AI concepts, including LLM-based assistants, automation, and recommendation systems
- Strong consulting, analytical, communication, and problem-solving skills in client-facing environments
- Upper-Intermediate or higher English and German proficiency for workshops, documentation, and stakeholder communication