MDM Junior Analyst l- Any -II-Informatica MDM, Reltio, STIBO, Ataccama

Summary

Capgemini is a global business and technology transformation partner helping organizations accelerate their digital and sustainable transitions. The MDM Junior Analyst supports client engagements in data governance, data quality, master data management, data privacy, and responsible AI by conducting analysis, preparing deliverables, and collaborating with senior consultants and cross-functional stakeholders.

Responsibilities

• Support the delivery of client engagements related to data governance, data quality, master data management (MDM), and data privacy frameworks
• Assist in gathering, organizing, and analyzing client data and process information to identify gaps, risks, and improvement opportunities
• Support MDM-related activities such as data standardization, deduplication, hierarchy management, and stewardship process design
• Contribute to the creation of client deliverables, including reports, presentations, process maps, data models, and governance documentation
• Participate in client workshops and interviews, capturing requirements and synthesizing findings under the guidance of senior team members
• Conduct research on industry trends, regulatory developments, and emerging practices in data trust, master data management, and responsible AI
• Support project management activities such as tracking action items, timelines, and deliverable status
• Collaborate with cross-functional teams (technology, risk, compliance, and business stakeholders) to ensure alignment on project objectives
• Continuously build technical and functional knowledge of data trust tools, frameworks, and methodologies
• Take ownership of assigned tasks, seeking feedback proactively and applying it to improve future work
• Demonstrate reliability and quality in delivering assigned tasks
• Build foundational knowledge of data trust and master data management concepts and Capgemini's methodologies
• Develop strong working relationships with team members and, where applicable, client stakeholders
• Show measurable growth in consulting skills (communication, structured thinking, deliverable quality)
• Begin taking initiative on smaller work streams with increasing independence

Skills

• • Strong analytical and problem-solving abilities; comfortable breaking down complex problems into structured components
• • Excellent written and verbal communication skills, with the ability to present ideas clearly to both technical and non-technical audiences
• • Ability to synthesize information from multiple sources into clear, concise deliverables
• • Strong attention to detail and commitment to quality in all work products
• • Effective time management and ability to manage multiple priorities in a fast-paced environment
• • Collaborative mindset with the ability to work effectively in team-based, client-facing settings
• • Proficiency in Microsoft Office (PowerPoint, Excel, Word, or equivalents)
• • Demonstrated curiosity and a genuine interest in data governance, master data management, privacy, or related fields
• • Proactive approach to learning new tools, frameworks, and industry knowledge with minimal supervision
• • Comfort operating in ambiguity and adapting quickly as project needs evolve
• • Track record of seeking feedback and using it to grow (academic, internship, or work experience)
• • Growth mindset — willingness to take on stretch assignments and expand scope of responsibility over time
• • Bachelor's degree in a relevant field (e.g., Business, Data Science, Computer Science, Information Systems, Public Policy, or related discipline)
• • Exposure to data-related coursework, certifications, or projects (e.g., data analytics, master data management concepts, privacy regulations such as GDPR/CCPA, data governance frameworks)
• • Prior internship, co-op, or project experience in consulting, technology, or data-related roles
• • Familiarity with MDM platforms (e.g., Informatica MDM, Reltio, STIBO, Ataccama) or data visualization/analytics tools (e.g., Power BI, Tableau, SQL, Python)
• • Practical experience using generative AI tools (e.g., ChatGPT, Claude, Copilot) to support research, drafting, or analysis
• • Basic understanding of responsible AI principles (fairness, transparency, accountability) and how trustworthy data underpins trustworthy AI
• • Ability to critically evaluate AI-generated outputs and apply sound professional judgment rather than accepting results at face value

Qualifications

Must Haves

• • Strong analytical and problem-solving abilities; comfortable breaking down complex problems into structured components
• • Excellent written and verbal communication skills, with the ability to present ideas clearly to both technical and non-technical audiences
• • Ability to synthesize information from multiple sources into clear, concise deliverables
• • Strong attention to detail and commitment to quality in all work products
• • Effective time management and ability to manage multiple priorities in a fast-paced environment
• • Collaborative mindset with the ability to work effectively in team-based, client-facing settings
• • Proficiency in Microsoft Office (PowerPoint, Excel, Word, or equivalents)
• • Demonstrated curiosity and a genuine interest in data governance, master data management, privacy, or related fields
• • Proactive approach to learning new tools, frameworks, and industry knowledge with minimal supervision
• • Comfort operating in ambiguity and adapting quickly as project needs evolve
• • Track record of seeking feedback and using it to grow (academic, internship, or work experience)
• • Growth mindset — willingness to take on stretch assignments and expand scope of responsibility over time

Nice to Haves

• • Bachelor's degree in a relevant field (e.g., Business, Data Science, Computer Science, Information Systems, Public Policy, or related discipline)
• • Exposure to data-related coursework, certifications, or projects (e.g., data analytics, master data management concepts, privacy regulations such as GDPR/CCPA, data governance frameworks)
• • Prior internship, co-op, or project experience in consulting, technology, or data-related roles
• • Familiarity with MDM platforms (e.g., Informatica MDM, Reltio, STIBO, Ataccama) or data visualization/analytics tools (e.g., Power BI, Tableau, SQL, Python)
• • Practical experience using generative AI tools (e.g., ChatGPT, Claude, Copilot) to support research, drafting, or analysis
• • Basic understanding of responsible AI principles (fairness, transparency, accountability) and how trustworthy data underpins trustworthy AI
• • Ability to critically evaluate AI-generated outputs and apply sound professional judgment rather than accepting results at face value

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility