Description review

Sr Data Analyst – Supply Chain Analytics

Cardinal Health · United States · back to the listing

HR standards

69/100

needs work

Title ↔ description

88/100

strong

Reads as

Data Analyst

99% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • 23 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Job Summary
The Business Intelligence team emphasizes a partnership with internal customers to enable operational processes within Cardinal Health Supply Chain Systems. This position provides support to our medical manufacturing, replenishment, and distribution centers by aligning data and technology solutions to optimize the value of the warehouse and transportation for the supply chain. The team drives business innovation by leveraging emerging technologies and turning them into differentiating business capabilities.

The team is responsible for applying business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant, and actionable insights to support business decisions and objectives. The position will work across multi-functional teams, such as IT, Finance, Operations, Logistics team members, and Cardinal Health management.

Responsibilities

• Analyze large datasets related to transportation, warehousing, and other supply chain operations to identify trends, anomalies, and opportunities for improvement.

• Design, develop, and maintain interactive dashboards and reports using data visualization tools to present complex information clearly and concisely.

• Translate analytical findings into clear, actionable recommendations for internal stakeholders, including operations, logistics, and executive leadership.

• Collaborate with cross-functional teams to understand business requirements, define key performance indicators (KPIs), and deliver data-driven solutions.

• Utilize advanced analytical techniques and tools to model supply chain scenarios and forecast performance.

• Ensure data accuracy and integrity across all analyses and reporting.

• Lead Machine Learning (ML)/Artificial Intelligence (AI) projects across the Global Logistics team – including opportunity analysis, implementation, and product ownership.

Qualifications

• Bachelor's Degree in Business, Engineering, Statistics, Computer Science, Mathematics, or related field preferred

· Advanced Degree is desired

• Preferred certifications: APICS Supply Chain, Lean Six Sigma, Agile, or Project Management

• 8+ years of analytics experience with a strong focus on supply chain operations

• Deep understanding of end-to-end supply chain processes and common challenges, with preferred expertise in transportation and warehousing

• Experience working with Transportation/Warehouse Management Systems(TMS/WMS) preferred

• Experience working in Big Data systems, Data Lakes, and Analytics related fields managing Build and Run teams

• Experience with Data Visualization tools preferred (Tableau, PowerBi, or Looker preferred)

• Experience with Google Cloud Platform (GCP) BigQuery and Alteryx ETL tools preferred

• Experience using AI/ML modeling tools such as Microsoft Visual Studio, Github Copilot, or other similar tools.

• Experience working in an Agile environment

• Exceptional communication and presentation skills, with the ability to convey complex analytical concepts to both technical and non-technical audiences

Anticipatedsalaryrange: $106,700 - $152,400

Bonuseligible: Yes

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

• Medical, dental and vision coverage

· Paid time off plan

· Health savings account (HSA)

· 401k savings plan

• Access to wages before pay day with myFlexPay

• Flexible spending accounts (FSAs)

• Short- and long-term disability coverage

· Work-Life resources

· Paid parental leave

· Healthy lifestyle programs

Application window anticipated to close: 10/12/26

• If interested in opportunity, please submit application as soon as possible.

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

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Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 77 before penalties). Reviewed 27 Sep 2026.