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SGS

Lead Business Analyst

SGS

. Lead product discovery and business analysis for complex digital products, workflows and transformation initiatives .

Posted 10/12/2026full-timeRemote • BulgariaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in business analysis and product discovery, with a strong focus on translating business outcomes into actionable user stories and acceptance criteria. Proficient in Agile methodologies and experienced in collaborating with cross-functional teams to drive digital product delivery and transformation initiatives.

Highest-signal resume keywords
Business AnalysisProduct DiscoveryAgile MethodologiesJiraConfluence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Requirements ElicitationUser Story WritingProcess ModellingAcceptance Criteria DevelopmentAnalytical SkillsStakeholder ManagementConflict ResolutionAI-Assisted ToolsDigital Product DeliveryTesting Readiness
Soft Skills
FacilitationCollaborationCommunicationMentoringConfidence
Tools & Technologies
JiraConfluenceAI-Assisted Tools
Industry Keywords
B2B SaaSSustainabilityManufacturingSupply ChainsChemical DataCompliance ProductsService DesignData AnalysisProduct Management TechniquesGovernance Frameworks

About the role

Key responsibilities & impact
  • Lead product discovery and business analysis for complex digital products, workflows and transformation initiatives
  • Plan and facilitate interviews, workshops and collaborative discovery sessions
  • Elicit, analyze and challenge requirements, assumptions, constraints, risks and dependencies
  • Translate business outcomes into epics, features, user stories, process models, business rules and testable acceptance criteria
  • Brief squads and prepare work for sprint planning, refinement, estimation and prioritization
  • Partner with Squad Leads and Quality Assurance to ensure acceptance criteria are understood, measurable and validated
  • Take responsibility for testing readiness and coordinate with the Quality Assurance Lead on test scenarios, execution, results and defect resolution
  • Validate delivered outcomes with stakeholders and feed findings, defects and recurring operational issues 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
  • Support other analysts and collaborate with developers, Quality Assurance, program management and business stakeholders

Requirements

What you’ll need
  • 6+ years of business analysis, product discovery or digital product delivery experience
  • Experience leading analysis for complex software products, platforms or transformation programs
  • Strong facilitation, requirements elicitation, stakeholder management and conflict-resolution skills
  • Ability to write user stories, acceptance criteria, business rules, workflows and supporting documentation
  • Experience modelling IT systems, system interactions and behaviors
  • Experience using AI-assisted tools for requirements, user stories and acceptance criteria with human review and governance
  • Hands-on experience with Jira and Confluence
  • Experience applying Agile methodologies with project management discipline and governance frameworks
  • Experience working with developers, Quality Assurance and product or program leaders
  • Strong analytical ability and confidence challenging assumptions
  • Ability to connect strategic objectives with measurable product outcomes and delivery-ready work
  • Professional fluency in English
  • Confidence working with internationally distributed colleagues
  • Preferred: experience acting as a lead, mentor or practice owner for Business Analysts
  • Preferred: experience with B2B SaaS, sustainability, manufacturing, supply chains, chemical data, assessment or compliance products
  • Preferred: experience with process modelling, service design, data analysis and product management techniques
  • Preferred: familiarity with Scrum, Kanban, OKRs and modern product operating models
  • Preferred: experience identifying practical automation and AI-assisted opportunities while respecting governance and risk controls

Benefits

Comp & perks
  • Employees can work remotely
  • Continuous learning and professional development opportunities
  • Open, supportive culture built on teamwork, trust and accountability
  • Work on digital products used across international supply chains and regulatory contexts
  • Collaborate in a multinational, distributed technology organization
  • Stable organization with a clear sustainability mission