Senior Data Analyst

Vantage Point Logistics (VPL)Columbus, OH
7hRemote

About The Position

VPL is a healthcare logistics technology company that powers the movement of medications and medical supplies across the healthcare ecosystem. Through a centralized platform for shipping, tracking, and analytics, VPL helps pharmacies and supply chain teams improve operational efficiency, gain visibility into performance, and make smarter logistics decisions. The Insights Engine: You don't just "run reports." You investigate ambiguous business questions and emerge with a clear, data-backed narrative that influences company strategy. The Ultimate Utility Player: You are equally comfortable writing complex SQL queries in Snowflake as you are presenting high-level findings to stakeholders across the business. The Precision Guardian: You have a high standard for data hygiene. You take personal pride in the accuracy, governance, and cleanliness of your models. A Strategic Partner: You thrive on collaboration, working across Pharmacy Operations and Engineering to understand the "why" behind the numbers.

Requirements

  • SQL Mastery: Advanced proficiency in SQL, specifically within Snowflake, with a proven track record of optimizing complex datasets.
  • BI Expert: Deep experience in Power BI, including advanced DAX and the design of scalable semantic models.
  • CRM Data Fluency: Demonstrated experience analyzing Salesforce data (opportunities, revenue pipeline, and account health).
  • Technical Breadth: Ability to analyze product usage data to drive customer insights and platform performance.
  • Autonomy: A self-starter who can operate independently and drive projects to completion in a fast-paced environment.

Nice To Haves

  • Industry Context: Healthcare or Pharmacy experience is preferred but not required.

Responsibilities

  • Architect Analytics-Ready Datasets: Build, validate, and optimize high-performance datasets within Snowflake, ensuring our data infrastructure is scalable and primed for rigorous interrogation.
  • Engineer Scalable Semantic Models: Design and maintain advanced Power BI environments, utilizing complex DAX to create intuitive, self-service tools that the entire organization relies on.
  • Define and Standardize KPIs: Move beyond vanity metrics to establish and govern "North Star" KPIs across Product, Engineering, and Sales, ensuring absolute alignment on what success looks like.
  • Synthesize Product & Sales Intelligence: Analyze the intersection of Salesforce CRM data and product usage patterns to identify adoption bottlenecks and unlock new revenue opportunities.
  • Own Executive-Facing Insights: Act as a primary authority for executive reporting, delivering actionable recommendations that drive operational performance and customer retention.
  • Govern Data Integrity: Ensure absolute reconciliation between source systems and analytics tables, maintaining a rigorous data glossary that serves as the company’s single source of truth.
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