Sr. Business Data Anaylst

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 Title:
Senior Business Data Analyst

As a Business Data analyst, you will play a critical role in shaping the future of our data analytics initiatives. You will work closely with business leadership and cross-functional teams to define, build, and deploy cutting-edge analytics solutions that drive business outcomes. Your deep understanding of data, business strategy, and product management will ensure that our analytics solutions are aligned with our organizational goals and deliver maximum value.

When needed, you will get hands‑on, helping to create analytical solutions and insights that support our business.

• Partner with executives and business leaders to understand their strategic goals and identify opportunities where data analytics can provide actionable insights and drive decision‑making.
• Communicate complex data concepts in a clear and concise manner to stakeholders at all levels of the organization.
• Support a cross‑functional team and provide in‑depth data insights for complex business problems that can be approached with advanced analytics.
  • Work closely with the other Data Engineers and Scientists to deliver results.
  • Leverage tools and resources to plan, evaluate and execute strategic initiatives.
  • Strong delegation and management skills to ensure work is conducted in a timely, quality fashion by internal and external partners and multi‑shore teams/resources.
  • Continuously improve and optimise business processes and operations. Identify, publicise the tech debt across the data landscape and champion the addressal pursuits.

Data Engineering and Analytics support

• Think in automation first, enterprise first and reusability mindset. Develop solution architectures and designs and help build consensus among teams to champion the data solutions.
• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions with a full stack of Data technologies, tools and processes.
• Implement data governance practices in partnership with business stakeholders and peers, data governance office teams and solution teams to advocate for data literacy and data democratization across enterprise.
• Build scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in the batch and real‑time mode.
• Analyse, model structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods from statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques.
• Must be well versed in general infrastructure technology and understand public and private cloud concepts such as SaaS, PaaS, DaaS and IaaS. Experience with automation to Infrastructure (IaC – Infrastructure as Code).
• Troubleshooting, monitoring and performance tuning of various software components of various data science analytical solutions, RESTful web services etc.
• Understanding of large database mining tools and statistical languages utilised to efficiently build approaches and execute on analytical use cases. Specific experience with Snowflake, Databricks, Azure Data Factory, PySpark, analytical SQL, Alation, R, Python
  . Experience with SAP and IBM Data Stage is also extremely beneficial.
• Communicate results and educate others through reports and presentations.

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