Sr. Data Operations Analyst

$108,000 - $180,000/Yr

McKesson - Irving, TX

Full-time - Mid Level

Irving, TX

1-10 employees

Merchant Wholesalers, Nondurable Goods

About the position

The Sr. Data Operations Analyst at McKesson plays a crucial role in the Pharmaceutical Solutions and Services (PSaS) Decision Intelligence (DI) team, focusing on fostering a data-driven culture and delivering business value through data and advanced analytics. This position requires strong analytical skills, business acumen, and the ability to engage stakeholders to develop innovative digital solutions that enhance decision-making processes. The role involves managing incident and request tickets, ensuring excellent customer service, and identifying opportunities for automation and performance optimization in the data and analytics environment.

Responsibilities

• Ensure timely and accurate handling of incident and request tickets within prescribed SLAs for PSaS Data and Analytical Products
• Ensure Application Support professionals provide excellent customer service in addition to resolving issues
• Identify opportunities where automation can be adopted, quality improved, and performance and cost optimized in the data and analytics environment
• Act as advisor or coach to new support members and manage KTLO operations team as needed
• Ensure all service level objectives are achieved
• Provide high-level analytics, reporting, and other support as needed
• Review Data & Analytical product designs for various data-driven & analytical initiatives before KTLO intake, handle Change approvals as needed
• Collaborate with cross-functional teams to manage KTLO Operations
• Maintain sanity of QA and Production environments by being a Gatekeeper
• Demonstrate technical leadership by staying abreast of emerging data & analytical technologies and industry best practices
• Effectively communicate technical concepts to both technical and non-technical stakeholders
• Collaborate with stakeholders to handle communications with teams spread across different geographic locations, acting as a liaison between the business and technology domains.

Requirements

• Typically requires 7+ years of relevant experience
• Deep technical expertise in managing large-scale processing systems
• Deep technical expertise with Azure Cloud Services (Databricks, ADF, API's, ADLS, Snowflake)
• Strong programming skills (e.g., Pyspark, SQL, JavaScript) for data manipulation and transformation
• Expert data visualization skills (PowerBI, Tableau)
• Strong problem-solving skills and attention to detail
• Knowledge of the healthcare, distribution, or software industries is a plus
• Ability to rapidly learn and evaluate new tools or technologies
• Strong customer and quality focus
• Ability to develop and maintain long-term stakeholder relationships and networks
• Proven leadership and interpersonal skills

Nice-to-haves

• Understanding of AI/ML machine learning and predictive modeling techniques
• Demonstrated experience with enterprise data, especially ERP systems (SAP, JD Edwards, SFDC etc) & Integration patterns

Benefits

• Competitive compensation package
• Annual bonus or long-term incentive opportunities