At Signant Health, we help bring life-changing treatments to patients faster by simplifying and streamlining clinical trials. As a global leader in clinical trial technology and services, we partner with pharmaceutical, biotech, and CRO organizations to improve trial execution, enhance patient engagement, and ensure compliance with complex regulatory standards. With operations spanning the U.S., Europe, APAC, Africa, and growth markets including South Africa, Chile, and Mexico, we are a private equity-backed company operating in a fast-paced, high-growth environment.
Signant Health's Data, Analytics, Reporting and Tools team supports decision-making across Global Operations. We transform data into actionable insights that help our delivery teams execute on time, on budget, and with outstanding customer satisfaction.
As a Senior Lead Analyst, you will design and deliver key performance indicator frameworks, build dynamic dashboards, and turn complex data into clear recommendations for senior stakeholders. You will lead cross-functional analytics initiatives end-to-end, mentor junior analysts, and partner closely with product, engineering, and operational leaders.
What you will do
Own key performance indicator frameworks: Implement and maintain a comprehensive set of measures to monitor performance at functional, departmental, customer, product, and project levels.
Lead analytics projects: Manage multiple initiatives concurrently--scoping, prioritizing, and delivering measurable outcomes on time and within expectations.
Build dynamic reporting: Design online reports and dashboards using Structured Query Language (SQL), Extensible Markup Language (XML), Microsoft Power BI, and Qlik Sense to monitor and forecast operational performance.
Generate insights: Analyze large, complex datasets and translate findings into clear narratives and recommendations for executive and operational audiences.
Partner across teams: Collaborate with analysts, project managers, developers, testers, and subject matter experts; provide coaching and feedback to strengthen team capability.
Collaborate on data architecture: Work with technical teams on database and data-model design that optimizes reporting and analytics.
Document rigorously: Produce and maintain documentation for algorithms, parameters, models, and data definitions.
Enable decisions: Deliver timely insights that identify revenue opportunities, cost efficiencies, and strategic improvements across Global Operations.
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