Manager, Client Reporting & Analytics
New
A
AmplityBiopharmaceutical
United States, Eastern or Central time zone preferredFull-TimeManager
Salary150,000 - 161,000 USD per year
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Job Details
- Experience
- Six or more years in business intelligence, data analytics, reporting, or client-facing analytics services.
- Required Skills
- Project ManagementSQLBusiness IntelligenceMicrosoft Power BIData modeling
Requirements
- Bachelor’s degree required; degree in analytics, data science, information systems, business, life sciences, or a related field preferred.
- Six or more years in business intelligence, data analytics, reporting, or client-facing analytics services.
- Three or more years in pharmaceutical, biotechnology, medical device, healthcare, or life sciences data analytics preferred.
- Strong knowledge of pharmaceutical commercial and medical operations, healthcare data, and reporting use cases.
- Advanced experience with Power BI or similar visualization platforms.
- Strong SQL skills and working knowledge of data modeling, data marts, data warehousing, and reporting pipelines.
- Ability to define KPIs, reporting logic, data dictionaries, and governance standards.
- Strong project management, vendor management, communication, and executive presentation skills.
- Experience supporting remote, cross-functional teams and client-facing stakeholders.
Responsibilities
- Define the vision, roadmap, operating model, and standards for client reporting and analytics services.
- Lead the development of dashboards, automated reporting, and self-service analytics using Power BI, SQL, Microsoft Fabric, and related data platforms.
- Build reusable reporting solutions that support faster deployment, consistency, and scalability across client engagements.
- Translate life sciences data sources into actionable reporting and insights.
- Serve as the analytics subject matter expert during client onboarding, reporting requirement sessions, executive readouts, and business reviews.
- Partner with cross-functional stakeholders to define data sources, reporting standards, semantic models, security requirements, and governance needs.
- Establish KPI definitions, reporting standards, data quality processes, documentation, and governance routines.
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