Product Analyst

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
As a Product Analyst at Capgemini, you will play a key role in supporting Product Leads and cross-functional teams across Data Engineering, Campaign Technology, Data Science, and Marketing Technology initiatives. You will help transform business objectives into actionable product requirements while ensuring alignment across stakeholders, delivery teams, and strategic priorities.
In this role, you will combine business analysis, Agile delivery support, backlog management, and stakeholder engagement to drive successful product outcomes. You will be responsible for facilitating communication between business and technical teams, maintaining delivery visibility, and supporting continuous improvement across product development processes.
Responsibilities & Scope
Product Analysis & Requirements Management
Elicit, analyze, and document business objectives, user needs, operational processes, business rules, data requirements, constraints, and expected outcomes.
Translate business requirements into:
Epics
Features
User Stories
Acceptance Criteria
Process Flows
Functional Documentation
Ensure requirements are clear, testable, measurable, and aligned with business goals.
Maintain traceability between business objectives, requirements, and delivered solutions.
Backlog & Agile Delivery Support
Manage and maintain backlog readiness within Jira.
Support backlog prioritization, refinement, sprint planning, and release planning activities.
Ensure delivery teams have sufficient clarity to execute effectively.
Facilitate Agile ceremonies including:
Backlog Refinement
Sprint Planning
Sprint Reviews
Retrospectives
Stakeholder Workshops
Help drive continuous delivery and product maturity across workstreams.
Stakeholder Collaboration
Act as a liaison between Product Leads, Engineering, QA, Analytics, Campaign Operations, Data Science, and Business teams.
Facilitate discussions that drive alignment, decision-making, and issue resolution.
Gather feedback from stakeholders and ensure it is reflected appropriately within product roadmaps and requirements.
Communicate technical and business information clearly to diverse audiences.
Delivery Governance & Reporting
Monitor dependencies, risks, decisions, action items, and delivery milestones across multiple teams.
Prepare status reports, KPI dashboards, roadmap summaries, and leadership updates.
Support release readiness activities including stakeholder communications, acceptance reviews, and post-release follow-up.
Ensure transparency across product delivery efforts and maintain governance artifacts.
Process Improvement & Product Operations
Analyze delivery and operational metrics to identify bottlenecks, risks, and improvement opportunities.
Maintain documentation including:
Product Specifications
Process Maps
Business Rules
Data Definitions
Decision Logs
Support standardization of product management and delivery practices across multiple teams and initiatives.
Contribute to process optimization and operational excellence programs.
AI-Enabled Product Analysis
Utilize approved AI tools to support:
Requirements generation and refinement
Meeting synthesis
Documentation improvement
Gap analysis
Backlog optimization
Reporting automation
Apply responsible AI practices while validating outputs and maintaining data integrity.
Your Profile
Business-minded problem solver – Able to translate complex business challenges into structured product requirements.
Analytical thinker – Uses data and insights to support decision-making and continuous improvement.
Strong communicator – Builds alignment across technical and non-technical stakeholders.
Organized and detail-oriented – Excels at managing priorities, requirements, and delivery tracking.
Collaborative team player – Thrives in Agile and cross-functional environments.
Continuous learner – Open to innovation, feedback, and emerging technologies, including AI-driven capabilities.
Qualifications & Preferred Skills
Required Qualifications
Bachelor's Degree in Computer Science, Engineering, Information Systems, Analytics, Business Administration, Marketing Technology, or a related field.
3-6+ years of experience in:
Product Analysis
Business Analysis
Agile Product Delivery
Technology Programs
Data & Analytics Initiatives
Marketing Technology Projects
Required Skills
Requirements Analysis & Product Management
Experience gathering, documenting, and validating business and functional requirements.
Strong experience creating user stories, acceptance criteria, process documentation, and functional specifications.
Ability to translate business objectives into actionable delivery plans.
Agile Delivery & Backlog Management
Experience supporting Agile product teams.
Strong understanding of:
Scrum
Agile methodologies
Backlog management
Sprint planning
Product delivery lifecycle
Experience maintaining actionable and prioritized backlogs.
Stakeholder Management & Facilitation
Strong facilitation and communication skills.
Experience leading workshops, requirement sessions, and stakeholder discussions.
Ability to bridge communication between business and technical teams.
Tools & Reporting
Hands-on experience with:
Jira
Confluence
Experience creating dashboards, status reports, KPIs, and leadership presentations.
Strong organizational and documentation skills.
Delivery Governance
Experience identifying and managing:
Dependencies
Risks
Decisions
Action Items
Delivery Milestones
Ability to drive transparency and accountability across delivery teams.
AI-Assisted Analysis
Understanding of AI-enabled productivity tools and their application in requirements analysis, documentation, reporting, and process improvement.
Ability to validate AI-generated outputs and apply responsible AI practices.
Preferred Skills
Experience within:
Marketing Technology (MarTech)
Campaign Technology
Customer Data Platforms (CDP)
Digital Marketing Ecosystems
Product analytics experience.
Process mapping and business workflow analysis.
Familiarity with:
Snowflake
Data Engineering concepts
Data Science programs
Salesforce Marketing Cloud (SFMC)
Experience supporting globally distributed teams and enterprise-scale delivery programs.
Knowledge of customer engagement and data-driven product environments.
What You'll Love
Opportunity to work at the intersection of Product Management, Data, Analytics, and Marketing Technology.
Exposure to enterprise-scale digital transformation initiatives.
Collaboration with global Product, Engineering, Analytics, and Business teams.
Access to certifications, learning programs, mentorship, and professional development opportunities.
Innovative and collaborative work environment focused on continuous improvement.
Career growth opportunities within Capgemini's Digital, Data, and Product Management practices.
Need to Know
Career Development in Spanish & English: Access to certifications, product management training, Agile academies, mentorship programs, and continuous learning opportunities.
Community Engagement: Participate in innovation challenges, product communities, knowledge-sharing sessions, volunteering programs, and networking initiatives across Capgemini.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse organization with more than 340,000 team members in over 50 countries.
With a strong heritage of more than 55 years, Capgemini helps clients unlock the value of technology through end-to-end services and solutions, leveraging capabilities in strategy and design, engineering, AI, generative AI, cloud, data, customer experience, and digital

Work arrangement
Yes