Definium Therapeutics - Manager, Data & Analytics
Requirements
• Minimum bachelor’s degree in Data Analytics, Business, Economics, Statistics, Computer Science, Information Systems, or a related field required; Advance degree preferred • Minimum 5 years of Pharmaceutical/Biotech industry related experience in data analytics, business intelligence, commercial insights, advanced analytics, or a related field • Experience managing a team of direct and indirect reports preferred • Demonstrated ability to independently own analytics projects from requirements through delivery and stakeholder adoption • Hands-on experience with large, complex healthcare and commercial datasets, including claims/RWD, CRM, patient-level, HCP/HCO, patient services, payer/access, or similar data • Strong experience building dashboards and analytical solutions in Power BI, including data modeling, DAX, Power Query, visualization, and report design • Advanced SQL and Excel skills; experience with relational or cloud data warehouses and ETL/ELT concepts • Experience coordinating with internal stakeholders, IT/Data teams, data vendors, or consulting partners and reviewing deliverables against defined requirements • Pharmaceutical launch, specialty-product, commercial operations, market access, field analytics, or forecasting-support experience preferred • Familiarity with platforms or data sources such as Veeva CRM, Veeva Nitro, Veeva • Experience with one or more of the following is a plus: OpenData, IQVIA, Komodo, Symphony, Amazon Redshift, Snowflake, or Azure SQL; proficiency across all platforms is not required • Travel is required based upon business needs • Compensation will be determined based on several factors including, but not limited to, skill set, years of experience, and the employee’s geographic location. • Employees in this role may be entitled to additional compensation, including bonus and equity. Benefits information is listed on our Jobs Page. The Company provides competitive benefits to employees including: • 100% paid health benefits including Medical, Dental and Vision for you and your dependents • 401(k) program with company match and vesting after the turn of the first month after your start date • Flexible time off • Generous parental leave and some fun fringe perks! • The starting base pay range for this position: • $135,000—$150,000 USD
Responsibilities
• Own the strategy, roadmap, requirements, solution design, delivery, validation, adoption, and ongoing improvement of assigned commercial analytics capabilities • Convert complex business questions into analytical approaches, using claims, real-world data (RWD), CRM, patient services, market access, and other approved commercial data to inform leadership decisions • Develop and optimize SQL queries and analytical transformations to create reliable datasets, automate workflows, reconcile results, and enable scalable reporting and analysis • Independently lead complex analytics workstreams by establishing project plans and governance, coordinating cross-functional dependencies, managing trade-offs, and communicating progress, risks, business implications, and recommendations to leadership • Collaborate with IT, Data Engineering, data vendors, and consulting partners on data acquisition, integration, warehousing, and production delivery while remaining accountable for business requirements and quality acceptance • Define and enhance KPIs, analytical processes, model governance, data-quality controls, documentation, lineage, and repeatable reporting standards across commercial analytics • Perform HCP/HCO and site-of-care analytics, segmentation and targeting, patient-flow analysis, field performance measurement, brand performance analysis, forecast support, and scenario analysis • Clearly present findings, assumptions, limitations, and recommendations to technical and non-technical stakeholders, including commercial leadership • Act as a hands-on analytics leader and trusted strategic partner by advising stakeholders, project teams, analysts, and vendors and driving change without formal people-management responsibility • Identify market inefficiencies, process gaps, and unmet analytics needs, then develop scalable programs and solutions to improve commercial effectiveness
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