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Résumé de l’emploi
Analyste senior, Données et analyse, relève de la directrice principale, Intelligence commerciale, et agit en tant que partenaire commercial senior auprès de l'organisation McKesson Canada Data & Analytics Hub. Il veille à ce que l'équipe d'Intelligence Commerciale dispose d'analyses avancées et d'informations concernant les performances de l'entreprise et des clients, le paysage concurrentiel, les tendances du secteur et la planification financière. Ce rôle représente le Spoke dans les interactions avec le Canada Data & Analytics Hub et pilote l'intégration des données, la modélisation des données et la qualité des données au sein de l'équipe.
Responsabilités spécifiques
• Être un expert en langage de programmation BI (SQL, R, Python, DAX) pour soutenir l'ensemble de l'organisation Marketing et Opérations Commerciales, y compris l'équipe interne.
• Travailler avec les analystes BI et d'autres parties prenantes pour rassembler les besoins endonnées afin de développer un modèle de données compréhensible.
• Développer et maintenir plusieurs modèles de données, flux de données et ensembles de données pour l'équipe interne conformément aux directives et politiques de gouvernance.
• Définir le processus, les normes et les lignes directrices pour plusieurs modèles de données, flux de données et ensembles de données pour l'équipe interne.
• Participer au Modèle Opérationnel de Gouvernance des Données de l'Entreprise en tant que Data Steward pour documenter tous les éléments de données critiques.
• Agir en tant que point de contact principal entre le Spoke et le Canada Data & Analytics Hub.
• Soutenir la consolidation et la priorisation des demandes soumises au Canada Data & Analytics Hub par le Spoke.
• Agir en tant qu'expert fonctionnel du domaine des données pour contribuer et conseiller sur les décisions et initiatives en matière de Données & Analytique.
• Fournir des contributions à la stratégie de données de l'entreprise et façonner toute stratégie de données spécifique à une unité commerciale.
• Soutenir les initiatives de Données & Analytique en validant les sources de données, les calculs et les résultats.
• Diffuser les informations et les communications entre le Canada Data & Analytics Hub et le Spoke.
Exigences du poste
• Diplôme universitaire dans une discipline pertinente.
• Minimum de 5 ans d'expérience dans le domaine des Données et de l'Analytique à différents postes.
• Bonne connaissance de SQL (CTE, fonctions de fenêtre et jointures), Python, R et DAX.
• Connaissance et expérience avec Snowflake, SQL Server, CRM (Salesforce) et SAP.
• Compréhension de l'ETL / Data Warehousing.
• Expérience pratique avec Power BI.
• Connaissance avancée des produits MS Office (Excel, Power BI, PowerPoint, Word).
• Forte attention aux détails.
• Sens élevé de l'urgence avec capacité à gérer plusieurs tâches, travailler de manière proactive et indépendante dans un environnement dynamique et rapide.
• Compétences analytiques et de résolution de problèmes solides avec organisation et autonomie.
• Capacité à collaborer avec différents niveaux de gestion et employés.
• L'expérience avec des outils de qualité des données est un atout.
• Compétences solides en communication écrite et verbale.
• Capacité à promouvoir le changement à tous les niveaux.
• Capacité à voyager au besoin.
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The Sr Analyst, Data & Analytics, reports to the Sr. Director, Commercial Intelligence and act as the primary business partner to the McKesson Canada Data & Analytics Hub organization to ensure the Commercial Intelligence team has advanced analytics and intelligence on business and customer performance, competitive landscape, industry trends and financial planning. This person represents the Spoke in its interactions with the Canada Data & Analytics Hub and leads data integration, modelling and quality within the team.
Specific Responsibilities
• A subject matter expert in BI programming language (SQL, R, Phyton, DAX) that will support the entire Marketing & Commercial Operations organization, including internal team
• Work with BI Analysts and other stakeholders to gather the data needs to further develop a comprehensible data model
• Develops and maintains multiple data models, data flows and data sets for internal team in accordance with governance guidelines and policies
• Defines the process, standards, and guidelines for multiple data models, data flows and data sets for internal team
• Participates in the Enterprise Data Governance Operating Model as a Data Steward to document all critical data elements
• Acts as the primary point of contact between the Spoke and Canada Data & Analytics Hub
• Support with consolidating and prioritizing requests submitted to Canada Data & Analytics Hub from the Spoke
• Act as a functional data domain expert to contribute to and advise on Data & Analytics decisions and initiatives
• Provides input into the enterprise data strategy and shape any business unit specific data strategies
• Support Data & Analytics initiatives by validating data sources, calculations, and outputs
• Disseminate information and communications between the Canada Data & Analytics Hub and the Spoke
Position Requirements
• University degree in relevant discipline
• Minimum 5 years of experience in Data and Analytics space in different capacities
• Good knowledge of SQL (CTE’s, window functions and joins), Python, R and DAX
• Knowledge and experience with Snowflake, SQL Server, CRM (Salesforce) and SAP
• ETL / Data Warehousing understanding
• Hands on experience with Power BI
• Advanced knowledge of the MS Office products (Excel, Power BI, PowerPoint, Word)
• Strong attention to detail
• High sense of urgency with ability to multi-task, work proactively and independently in a fast-paced, dynamic environment
• Strong analytical and problem-solving skills with organization and autonomy
• Ability to collaborate with various levels of management and employees
• Experience with data quality tools is an asset
• Strong written and verbal communication skills
• Ability to champion change at all levels
• Ability to travel when needed
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please
Our Base Pay Range for this position
$94,400 - $157,300
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: .
