Senior Data Analyst

at  McKesson

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 Data Analyst
Experience required: Atleast 8+yrs of strong data analysis experience with powerbi, building dashboards, analysis

CURRENT NEED:

Mckesson is looking for a experienced Sr. Data Analyst to join the team of data engineering experts, in this role you will be driving the data analysis efforts in collaboration with various business stake holders from the PSAS business, ensure you validate the quality & security standards of the data assets.

CRITICAL CRITERIA & MINIMUM QUALIFICATIONS:

• Hands-on experience in Snowflake, Databricks SQL
• Strong in database concepts
• Proven expertise of Microsoft analytics technologies such as Power-BI
• Solid understanding of Azure cloud and its concepts
• Experience with SAP / Salesforce is preferred
• Strong experience in data analysis & UI/UX experience

ADDITIONAL SKILLS AND QUALIFICATIONS

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities
• Familiarity with Pharma Distribution business
• Ability to work effectively in a fast-paced and changing environment
  Education: Degree in computer science or related is preferred
  Physical Requirements: General Office Demands

• Work closely with IT and Business leaders to understand data and analysis needs and work toward innovative and scaled solutions.
• Convert business needs into detailed and comprehensive requirements, guiding projects from initial use cases to final design and implementation.
• Gather, document, and prioritize business requirements and do the product backlog management.
• Ensure the accuracy and quality of data assets, collaborating with different teams to meet Quality, Regulatory and security standards.
• Coordinate with technical teams in specifying data related needs for solutions.
• Collaborate with Operations Team in aiding operational excellence.
• Quickly grasp functional knowledge of PSaS Distribution business and support technical teams for effective delivery.