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Director, Data Analytics

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $201.5k - $260.5k / year

⏰ Full Time

🔴 Lead

📉 Data Analyst

👻 Ghost score 0%

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Logo of Replimune

Replimune

201 - 500 employees

Founded 2015

🧬 Biotechnology

🏥 Healthcare

💊 Pharmaceuticals

💰 $140M Post-IPO Equity - Replimune Group on 2024-11

Biotechnology • Healthcare • Pharmaceuticals

Replimune is a clinical-stage biotechnology company focused on developing a new class of oncolytic immunotherapies intended to activate powerful, durable systemic anti-tumor immune responses. The company’s approach is to kill tumors locally, alter the tumor microenvironment, and ignite a full-body, tumor-specific immune response. Replimune is conducting clinical programs evaluating the safety and effectiveness of its investigational therapies in a range of solid tumors, both as single agents and in combination with other immunotherapies.

📋 Description

• Serve as a strategic analytics partner to Commercial leadership, translating business questions into analytical approaches, insights, and actionable recommendations • Identify performance trends, opportunities, risks, and emerging business questions through commercial data analysis • Integrate multiple data sources to understand key business drivers • Lead patient-level claims analytics covering patient populations, new patient starts, treatment adoption, utilization, persistence, treatment patterns, and patient journeys • Develop and validate approaches for patient identification and treatment initiation, accounting for claims coverage, lag, coding, longitudinal tracking, and data limitations • Integrate claims with sales, specialty distribution/pharmacy, CRM, HCP/account, market access, and other data to develop a comprehensive view of patient and commercial performance • Lead development and evolution of launch KPIs, performance metrics, and diagnostic measures • Provide leadership for commercial data strategy, governance, stewardship, data definitions, and business rules • Partner with internal teams and vendors on data sourcing, integration, quality, and appropriate use • Define reporting and visualization requirements and provide direction to dashboard and report development resources • Use Tableau or similar BI platforms to interrogate reporting outputs, identify trends and anomalies, and support business decisions • Lead or direct advanced analytics including segmentation, targeting, patient journey, adoption, persistence, triggers, promotional effectiveness, and ROI analyses • Provide analytical leadership and oversight to external partners • Develop executive-level narratives and presentations synthesizing complex analyses into business implications and potential actions • Partner with Sales, Marketing, Market Access, Insights & Analytics, Finance, IT/Data Management, and other cross-functional stakeholders

🎯 Requirements

• Bachelor's degree required • 10+ years of relevant pharmaceutical/biotech commercial analytics, data strategy, reporting, insights, or consulting experience; oncology experience strongly preferred • Deep knowledge of U.S. pharmaceutical commercial data, including longitudinal patient claims and specialty distribution/pharmacy, sales, CRM, HCP/account, payer/access, EMR/lab, and other relevant datasets • Demonstrated experience using patient-level claims data to identify patient populations, new patient starts, treatment patterns, adoption, persistence, and patient journeys • Strong analytical curiosity and critical thinking; ability to identify patterns and anomalies, develop hypotheses, connect findings across data sources, and determine business implications • Ability to move beyond descriptive reporting to identify business drivers and translate analytical findings into insights and recommendations for commercial leadership • Strong working knowledge of Tableau or similar BI platforms • Working knowledge of analytical tools and data-query concepts • Strong commercial acumen and ability to work consultatively across Sales, Marketing, Market Access, Insights & Analytics, and other functions in a highly matrixed organization • Excellent written and verbal communication skills, including the ability to synthesize complex analyses and communicate clear conclusions to senior leadership • Ability to operate independently, manage multiple priorities, influence without direct authority, and thrive in a fast-paced, evolving commercial environment • SQL, SAS, R, Python, or similar programming experience is a plus, but not required • Dashboard development experience is a plus, but not the primary focus

🏖️ Benefits

• Annual performance incentive bonus • New hire equity • Ongoing performance-based equity • Medical insurance • Dental insurance • Vision insurance • 401(k) match • Flexible time off • Paid holidays, including year-end shutdown

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