Live opening · Posted 6 hours ago

Lead Business Analyst

SGS · Klaipėda, Klaipėdos apskr., Lithuania
Smartrecruiters Yes Full-time
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At a glance

The key details from the original listing.

Posted 6 hours ago
CompanySGS
LocationKlaipėda, Klaipėdos apskr., Lithuania
Job typeFull-time
Work modeYes
SourceSmartrecruiters
ListedPosted 6 hours ago

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About the role

Description supplied by the original job listing.

As Lead Business Analyst and Product Discovery Lead, you will turn complex business needs into clear, valuable and testable product work. You will lead discovery, challenge assumptions, align stakeholders and help autonomous squads understand the outcomes they must deliver.
You will be embedded in Product & Engineering and work across business analysis, product discovery and delivery preparation. You will establish analysis standards, support other analysts and collaborate closely with Squad Leads, developers, Quality Assurance, program management and business stakeholders.
Responsibilities
Lead product discovery and business analysis for complex digital products, workflows and transformation initiatives.
Plan and facilitate interviews, workshops and collaborative discovery sessions with business, customer and technology stakeholders.
Elicit, analyze and challenge requirements, assumptions, constraints, risks and dependencies before work enters delivery.
Translate business outcomes into clear epics, features, user stories, process models, business rules and testable acceptance criteria.
Brief squads, prepare work for sprint planning and support refinement, estimation and prioritization.
Partner with Squad Leads and Quality Assurance to ensure acceptance criteria are understood, measurable and covered by an appropriate validation approach.
Take responsibility for testing readiness and coordinate with the Quality Assurance Lead to define test scenarios, support execution, review results and ensure identified defects are addressed.
Validate delivered outcomes with stakeholders and feed findings, defects and recurring operational issues back into the product backlog.
Map current and future-state processes and identify opportunities for simplification, automation, responsible AI use and data-driven decisions.
Establish reusable templates, quality standards and working practices for business analysis and product discovery.
6+ years of business analysis, product discovery or digital product delivery experience.
Demonstrated experience leading analysis for complex software products, platforms or transformation programs.
Strong facilitation, requirements elicitation, stakeholder management and conflict-resolution skills.
Proven ability to write high-quality user stories, acceptance criteria, business rules, workflows and supporting documentation.
Experience modelling IT systems, system interactions and behaviors to clarify requirements and support solution design.
Experience using AI-assisted tools to draft, refine and validate requirements, user stories and acceptance criteria while applying appropriate human review and governance.
Hands-on experience using Jira and Confluence to manage requirements, backlogs, traceability and delivery documentation.
Experience applying Agile methodologies while balancing iterative delivery with appropriate project management discipline and governance frameworks, working closely with developers, Quality Assurance and product or program leaders.
Strong analytical ability and confidence challenging assumptions while maintaining constructive stakeholder relationships.
Ability to connect strategic objectives with measurable product outcomes and delivery-ready work.
Professional fluency in English and confidence working with internationally distributed colleagues.
Preferred Skills
Experience acting as a lead, mentor or practice owner for Business Analysts.
Experience with B2B SaaS, sustainability, manufacturing, supply chains, chemical data, assessment or compliance products.
Experience with process modelling, service design, data analysis and product management techniques.
Familiarity with Scrum, Kanban, OKRs and modern product operating models.
Experience identifying practical automation and AI-assisted opportunities while respecting governance and risk controls.

Employment type
Full-time

Work arrangement
Yes

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