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We are looking for a solution-oriented Life Sciences Analytics Consultant to strengthen Lingaro’s Commercial Analytics Practice. This role is ideal for someone who excels at end-to-end solutioning — from framing complex Life Sciences business problems and defining analytical approaches, to shaping scalable analytics products that can be deployed across brands, markets, and regions. The role combines billable client delivery, pre-sales solutioning, and sales support, with a strong emphasis on reusable, industrialized solutions rather than one-off analyses.
Job Responsibility:
Own Solution Design & Architecture: Lead the solutioning of Life Sciences analytics use cases
Define end-to-end solution blueprints: data inputs, metrics, analytical logic, outputs, and business actions
Deliver Billable Client Work: Actively contribute to billable client engagements, with clear ownership of solution design and analytical logic
Ensure delivered solutions meet business objectives and are adopted by commercial teams
Balance delivery execution with solutioning, pre-sales, and capability-building activities
Translate Life Sciences Business Problems into Scalable Analytics: Work closely with client commercial, medical, and analytics stakeholders to frame business questions and success criteria
Convert business needs into clear analytical requirements that can be industrialized
Ensure solutions are actionable, compliant, repeatable, and scalable across markets
Support Pre-Sales & Sales Processes: Play an active role in pre-sales and sales support
Shaping solution approaches and architectures for client opportunities
Developing POVs, demos, and solution narratives
Supporting RFPs, proposals, and effort estimations
Partner closely with sales and account teams to translate client needs into compelling analytics solutions
Contribute to client meetings by articulating how analytics drives measurable commercial impact
Drive Industrialization & Reusability: Build and maintain reusable Life Sciences accelerators, KPI frameworks, and analytics templates
Standardize metrics, logic, and solution patterns to enable faster go-to-market and consistent quality
Partner with engineering and data science teams to ensure solutions are production-ready
Partner with Delivery & Technology Teams: Act as solution owner during delivery, ensuring alignment between business intent and technical implementation
Review analytical logic, dashboards, and outputs to guarantee business and scientific relevance
Support testing, validation, and rollout of solutions
Build Life Sciences Analytics Capability: Contribute to internal documentation, playbooks, and best practices
Support internal initiatives (e.g. innovation, hackathons, thought leadership) where relevant to Life Sciences growth
Requirements:
5–7 years of experience in analytics consulting, Life Sciences analytics, or commercial excellence roles
Strong experience designing Life Sciences analytics solutions such as: Sales force effectiveness & incentive analytics, HCP segmentation and targeting, Launch and demand analytics, CRM and omnichannel effectiveness frameworks
Proven ability to move from business problem → analytics design → scalable solution
Experience working with Life Sciences datasets such as sales, prescription, engagement (e.g. IQVIA, CRM, Veeva, etc.)
Experience working with Life Sciences data (sales, prescription, CRM, engagement)
Comfortable defining KPI logic, data transformations, and analytical workflows
Hands-on exposure to analytics and BI tools (SQL, Python, Power BI, Tableau, or similar)
Familiarity with data pipelines and analytics product concepts is a strong plus
Strong solution storytelling and client-facing communication skills
Ability to balance delivery, pre-sales, and internal contribution