Business Analyst

Job Overview 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 help create analytical solutions and insights that support our business. Key Responsibilities Collaborate with Business Leadership: 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 Data Engineers and Scientists to deliver results. Leverage tools and resources to plan, evaluate and execute strategic initiatives.

Demonstrate 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, identify, publicize the technical debt across the data landscape, and champion addressal pursuits. Data Engineering and Analytics Support Think in an automation‑first, enterprise‑first, and reusability mindset; develop solution architectures and designs, and help build consensus among teams to champion data solutions.

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions with the full stack of data technologies, tools, and processes. Implement data governance practices in partnership with business stakeholders, peers, the data governance office, and solution teams to advocate for data literacy and data democratization across the enterprise. Build scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in batch and real‑time modes.

Analyze, model structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods, including distributed and parallel programming techniques. Be well‑versed in general infrastructure technology and understand public and private cloud concepts such as SaaS, PaaS, DaaS, and IaaS; experience with Infrastructure as Code (IaC) is an advantage. Troubleshoot, monitor, and perform performance tuning of various software components of data science analytical solutions, RESTful web services, etc.

Utilize large database mining tools and statistical languages, including Snowflake, Databricks, Azure Data Factory, PySpark, Analytical SQL, Alation, R, Python; experience with SAP and IBM DataStage is also beneficial. Communicate results and educate others through reports and presentations. Power BI Development: create visually compelling and interactive dashboards, reports, and data visualizations using Power BI, applying 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 make informed decisions based on data. Minimum Requirements Bachelor’s degree or equivalent and typically requires 4+ years of relevant experience.

Critical Skills 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 Power BI, 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 Databricks and Snowflake. Excellent communication and stakeholder management skills.

Ability to manage multiple projects and priorities in a fast‑paced environment. Specialized Knowledge & Skills Leadership: exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation. Strategic Thinking: strong analytical skills and ability to develop strategies that align with long‑term objectives.

Problem Solving: innovative and creative problem‑solving skills capable of handling complex challenges. Proficiency in Python, SQL, Spark, and cloud‑native tools. Benefits and Compensation Our base pay range for this position: $81,500 - $108,600.

We offer a competitive compensation package that includes base pay, potential annual bonus, and long‑term incentive opportunities. Additional benefits are available; please see our career site for details. Equal Opportunity Statement McKesson is an Equal Opportunity Employer.

We provide equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers, including those with disabilities.

If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to [email protected] (United States) or [email protected] (Canada). Resumes or CVs submitted to this email box will not be accepted. #J-18808-Ljbffr