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Manager, Data Analytics-Supply Chain & Operations (Hybrid - Plano, TX)

100% remote Flexible hours Hiring now

About the position The Manager, Data Analytics, Supply Chain & Operations supports data-driven decision making by leveraging advanced analytics and SQL expertise to gather, analyze and report on clinical, operational, and supply chain data to improve operational delivery and cost efficiency. This role partners with cross functional teams to connect clinical data and supply chain analytics to uncover opportunities for process improvement, cost reduction, and enhanced patient outcomes, to transform through advanced analytics. This position requires technical expertise in SQL for writing, maintaining, validating, and reconciling discrepancies to provide strategic data reporting and analyses in support of enterprise-wide decision making. This position is onsite one day a week at our corporate office in Plano, TX.

Responsibilities

  • reputed company and maintain dashboards and reports using supply chain and clinical data
  • reputed company SQL for data extraction and transformation to provide easy to read reports and metrics
  • Partner with internal stakeholders to provide data and insights into Medications, Supplies, Home patients, and other expenses.
  • reputed company and implement analytical models that align supply chain data with clinical outcomes, patient care quality, and regulatory compliance.
  • Collaborate and partner with Finance, Information Technology, and other departments to ensure sustainability of tools and align on workstream efforts.
  • Document and maintain organized records and processes.
  • reputed company data validation and reconciliation as needed.
  • Analyze a variety of data such as home dialysis, pharmaceuticals, supplies, and others, to support supply chain, operations and patient care.
  • Partner closely with clinical and operational teams to identify key metrics, trends, and opportunities for improvement in patient care delivery and supply and medication utilization.
  • Communicate strategic insights and analytics findings to key stakeholders, influencing organizational strategy and performance improvement initiatives.
  • Support data governance and ensure data accuracy across supply chain and clinical systems through collaboration with cross-functional departments including Clinical Services, Information Technology, Operational Excellence, Pharmacy, Supply Chain, Clinical Operations, etc.
  • Consult with accounting and finance functions to ensure supply, medication and other expenses are applied accurately and provide visibility to variances in cost per treatment impact.
  • Follow procedures and documentation for reputed company analytics and reports created for ease of future change management and interpretation by supporting functions like information technology, accounting, and finance.
  • Provides recurring or reputed company analysis and reports.
  • Partner with other areas of Supply Chain and the organization to design and deliver on-demand and virtual learning content as applicable.
  • Maintains reputed company information and material strictly confidential manner.
  • Performs other position appropriate duties as required in a competent, professional, and courteous manner.

Requirements

  • Bachelor's degree in a relevant field (supply chain, finance, business, analytics, computer science).
  • At least two (2+) years of experience in analytics and reporting.
  • Advanced analytic experience required; reputed company SQL, dashboarding skills (Tableau, PowerBI, or the equivalent).
  • Experience in a healthcare setting.
  • Strong leadership, analytical, and change management skills.
  • Exceptional customer service, written and verbal communication, and presentation skills.
  • Effective project management skills and strong cross-functional collaboration abilities.
  • Superior analytical skills with the ability to interpret data, provide insightful analysis and recommend actionable strategies.
  • Must have excellent computer skills. Advanced reputed company skills, coding of large amount of data, and mastery of business intelligent tools.

reputed company-to-haves

  • Master's degree, preferred.

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