Consulting Analyst

Job Summary

Consulting Analyst role in a multinational organization focusing on data driven advisory services using advanced data models and analytics for client projects. The position requires six to eight years of experience operates in a hybrid work model with day shift and involves no travel. The analyst will partner with internal teams to deliver measurable business outcomes through insightful recommendations and structured solutions.

Responsibilities

• Analyze complex client business challenges using structured consulting techniques and data models to develop actionable insights that support strategic and operational decisions
• Design scalable analytical approaches that use data models to translate business requirements into clear recommendations enhancing efficiency revenue growth and risk mitigation
• Collaborate with cross functional stakeholders in a hybrid work environment to gather requirements validate assumptions and align analytical outputs with agreed success criteria and timelines
• Develop detailed current state and future state process assessments supported by quantitative analysis to highlight gaps improvement opportunities and measurable benefits for client initiatives
• Create clear concise and well organized consulting deliverables including presentations reports and data summaries that enable stakeholders to understand findings and act with confidence
• Perform rigorous data validation profiling and quality checks on diverse data sources to ensure that analytical results and data models are accurate reliable and suitable for decision making
• Support implementation of recommended solutions by providing data backed rationales defining key performance indicators and outlining monitoring approaches for ongoing performance tracking
• Provide guidance on the use of analytical tools and data models to internal teams helping refine methodologies standards and best practices that strengthen the consulting capability of the organization
• Evaluate project risks and dependencies using structured analysis and propose mitigation approaches that safeguard timelines budget adherence and expected business outcomes
• Contribute to internal knowledge assets by documenting repeatable consulting approaches case examples and data modeling patterns that can be reused across engagements for consistent quality
• Engage in regular communication with stakeholders during day shift hours to present updates manage expectations and ensure that project progress aligns with defined scope and objectives
• Participate in hybrid working ceremonies including virtual and onsite sessions to maintain cohesion with project teams while balancing focused individual analysis work
• Drive continuous improvement by reviewing completed engagements identifying lessons learned and refining consulting approaches and data modeling techniques for future projects

Qualifications

• Demonstrate six to eight years of consulting or analytics experience applying data models and structured problem solving to deliver clear measurable business outcomes
• Exhibit strong proficiency in data analysis and model design using enterprise data tools allowing translation of complex datasets into meaningful patterns and business insights
• Show capability in creating detailed documentation and client ready presentations that convey technical analytical results in accessible business oriented language
• Display understanding of domain specific data structures and business processes enabling effective alignment of data models with industry practices and organizational goals
• Possess experience working in hybrid environments balancing remote analytical tasks with onsite collaboration while maintaining productivity communication and accountability
• Illustrate familiarity with project methodologies and stakeholder management practices that ensure timely delivery of consulting outputs within scope and quality expectations
• Highlight any exposure to advanced analytics or decision support systems that enhances the ability to recommend sophisticated yet practical data driven solutions for client needs

À savoir avant de postuler

• Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
• Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
• L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
• Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
• Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
• Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.

À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.