McKesson, l’une des 10 premières entreprises du classement Fortune Global 500, touche à pratiquement tous les aspects des soins de santé et s’emploie à faire une réelle différence. Nous sommes reconnus pour notre capacité à offrir un savoir, des produits et des services qui rendent les soins de qualité plus accessibles et plus abordables. Chez nous, la santé, le bonheur et le bien-être de nos gens et des personnes que nous desservons sont prioritaires—et nous tiennent à cœur.
Ce que tu fais chez McKesson a de l’importance. Nous favorisons une culture où tu peux t’épanouir et avoir un impact, et où tu es encouragé à proposer de nouvelles idées. Ensemble, nous façonnons l’avenir de la santé pour nos patients, nos communautés et nos équipes. Si tu souhaites dès aujourd’hui contribuer à la santé de demain, nous aimerions avoir de tes nouvelles.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.

JOB SUMMARY

The Senior Business Intelligence Analyst, Commercial Data reports to the Manager, Commercial Data Quality & Governance and acts as a senior business partner to the McKesson Canada Data & Analytics Hub organization to ensure the Commercial Intelligence team has advanced analytics and insights pertaining to the business and customer performance, the competitive landscape, industry trends and financial planning. This role represents the Spoke in interactions with the Canada Data & Analytics Hub and drives the data integration, data modelling and data quality within the team.

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 click here.

• 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