McKesson · 1 month ago
Sr. Business Data Anaylst
Irving, TX, USA - 6555 North State Highway 161 (P001)
Full-time
Hybrid
Senior Level
5+ years expMcKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. As a Business Data Analyst, you will play a critical role in shaping the future of data analytics initiatives by collaborating with business leadership to define and deploy analytics solutions that drive business outcomes.
BiopharmaBiotechnologyHealth CareInformation TechnologyPharmaceutical
Responsibilities
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 optimize business processes and operations. Identifying, publicizing the tech debt across data landscape and championing addressal pursuits
Thinks in automation first, enterprise first and reusability mindset. Develops solution architectures and designs and helps build consensus among teams to champion the data solutions
Collaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies, tools and processes
Implements 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
Builds 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
Analyzes, models 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 Software as a Service (SaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), and Infrastructure as a Service (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 utilized 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 DataStage is also extremely beneficial
Communicate results and educate others through reports and presentations
Create visually compelling and interactive dashboards, reports, and data visualizations using Power BI, leveraging best practices for data visualization and storytelling
Conduct data analysis to identify trends, patterns, and insights, and provide recommendations to improve business performance
Provide training and support to end-users, empowering them to effectively utilize Power BI tools and make informed decisions based on data
Qualification
Required
Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, or a related field
5+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role
Experience with PowerBI, Tableau or other data visualization platforms
Proficiency in SQL, Python, R, or similar analytical tools
Strong understanding of statistical analysis, predictive modeling, and data mining techniques
Experience with analytical tools such as Databricks & Snowflake
Excellent communication and stakeholder management skills
Ability to manage multiple projects and priorities in a fast-paced environment
Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation
Strong analytical skills and the ability to develop strategies that align with long-term objectives
Innovative and creative problem-solving skills capable of handling complex challenges
Proficiency in Python, SQL, Spark, and cloud-native tools
Benefits
Competitive compensation package
Annual bonus or long-term incentive opportunities
Company
McKesson
McKesson distributes medical supplies, information technology, and care management products and services.
10001+ employees
H1B Sponsorship
McKesson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (149)
2024 (129)
2023 (82)
2022 (142)
2021 (144)
2020 (154)
Funding
Current Stage
Public CompanyTotal Funding
unknown1994-11-18IPO
Leadership Team
Brian Tyler
CEO
Jim McAuliffe
CFO
Recent News
2026-01-23
2026-01-12
Company data provided by crunchbase