Operations Data Analyst: SQL, Tableau & Alteryx Insights

Cardinal Health

Kentucky

Hybrid

USD 81,000 - 116,000

Full time

4 days ago
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Benefits offered by this job

Medical benefits
PTO
HSA
401k
MyFlexPay access
FSAs
Disability
Work-life resources
Parental leave
Wellness programs

Job summary

Cardinal Health, headquartered in Dublin, Ohio, seeks an IT Service Center Operations Data Analyst to deliver high-value insights that improve performance, efficiency, and customer experience across our Service Center operations. The role blends call center metrics expertise with SQL, Hive, Tableau, and Alteryx to produce scalable reporting and support operational strategy.

You will translate complex data into compelling visual narratives, work with Operations, WFM, Technology, and project

Qualifications

  • Bachelor's degree or equivalent work experience; 4–8 years preferred.
  • Expert SQL (complex queries, joins, CTEs, windows), Hive/Hadoop environments.
  • Tableau dashboards, data modeling, UX design; Alteryx workflows and automation.
  • Strong knowledge of call center operations, metrics, forecasting, and telephony platforms.

Responsibilities

  • Apply analytical methods to solve operational problems and reveal trends.
  • Translate complex findings into clear visuals and actionable insights.
  • Build scalable data models and workflows; ensure data quality and fixes.
  • Collaborate with Operations, WFM, Technology and project teams to drive initiatives.

Skills

SQL
Tableau
Hive
Alteryx
Call center ops
Communication
Storytelling
Data analysis
Analytics

Education

Bachelor's degree or equivalent

Tools

Tableau
Alteryx
Genesys
Verint

Job description

Cardinal Health, headquartered in Dublin, Ohio, seeks an IT Service Center Operations Data Analyst to deliver high-value insights that improve performance, efficiency, and customer experience across our Service Center operations. The role blends call center metrics expertise with SQL, Hive, Tableau, and Alteryx to produce scalable reporting and support operational strategy.

You will translate complex data into compelling visual narratives, work with Operations, WFM, Technology, and project

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