Sales Quoting Analyst at McKesson
Richmond, VA 23233, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Nov, 25

Salary

69800.0

Posted On

01 Sep, 25

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analytics, Revenue, Information Systems, Data Wrangling, Etl Tools, Automation, Salesforce, Soft Skills, Python, Transformations, Operations, Data Analysis, Pandas

Industry

Marketing/Advertising/Sales

Description

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.
McKesson Medical-Surgical is seeking a detail-oriented, technically proficient Sales Quoting Analyst to support the creation of customer quotes by cross-referencing competitive item data (e.g., from invoices or purchase histories) with internal product catalogs. This role plays a critical function within our Sales Operations team, helping sales and customer service teams deliver accurate, competitive, and scalable quotes.
The ideal candidate brings strong SQL skills, light experience with ETL pipelines or Python, and is comfortable navigating item master data, pricing files, and sales tools. This is a high-impact role that bridges data operations with frontline sales efficiency.

MINIMUM REQUIREMENTS:

  • Degree or equivalent and typically requires 4+ years of relevant experience.

EDUCATION & EXPERIENCE:

  • Bachelor’s degree in Business, Information Systems, Data Analytics, or a related field.
  • 3–5+ years of experience in data analysis, quoting operations, or a similar role.
  • Experience working in a sales or customer service-facing analytics capacity is a plus.

TECHNICAL SKILLS:

  • SQL proficiency (required); ability to write complex joins and transformations.
  • Familiarity with Python or similar scripting for automation (preferred).
  • Experience working with product master data, pricing files, or ERP item catalogs.
  • Understanding of Excel-based quoting, CPQ systems, or CRM quoting workflows (Salesforce, etc.).
  • Bonus: Experience with ETL tools or data wrangling libraries like Pandas.

SOFT SKILLS:

  • Meticulous attention to detail and accuracy.
  • Comfortable navigating ambiguity and incomplete data inputs.
  • Strong communicator with ability to support both technical teams and non-technical stakeholders.
  • Customer-first mindset — understands how data accuracy impacts revenue and trust.
Responsibilities
  • Competitive Item Cross-Referencing: Interpret and ingest customer-provided documents (e.g., invoices from competitors) and identify internal equivalent products using item mapping logic and internal tooling.
  • Quote Support & Data Preparation: Deliver clean, structured data files for sales and customer service teams to use in quoting tools or direct proposals.
  • ETL & Automation: Develop repeatable pipelines to support automated matching, quote preparation, and reporting.
  • Pricing Validation: Ensure accuracy of pricing logic by working closely with pricing and contracting teams.
  • Item Master Governance: Maintain and validate mappings between internal SKUs and competitive equivalents.
  • Tool Enablement: Support integration of quoting logic into CRM, CPQ, or Excel-based quoting systems as needed.
  • Collaboration: Partner with Sales Ops, IT, Product Data, and field sales teams to build scalable workflows for quoting and customer acquisition.
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