Life Sciences Analytics & Solutioning Consultant

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About the Commercial Analytics Practice at Lingaro

Lingaro’s Commercial Analytics Practice designs and delivers AI-powered analytics solutions for global Life Sciences and consumer companies. Our Life Sciences pillar focuses on building scalable, reusable decision tools supporting Sales Effectiveness, CRM & Omnichannel Analytics, Launch Excellence, and Growth Enablement — with a strong emphasis on solutioning, industrialization, and commercial impact.

About the role:

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.

Tasks:

Own Solution Design & Architecture

• Lead the solutioning of Life Sciences analytics use cases, including:
• Commercial performance and launch analytics
• Sales force effectiveness & field force productivity
• HCP targeting, segmentation, and coverage models
• Patient, prescription, and demand analytics
• CRM, omnichannel, and engagement effectiveness 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, including:
• 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.

What We're Looking For:

Domain & Solutioning Experience

• 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.)

Analytics & Technology Foundation

• 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.

Consulting & Communication Skills

• Strong solution storytelling and client-facing communication skills.
• Ability to balance delivery, pre-sales, and internal contribution.
• Structured, pragmatic, and impact-focused mindset.

Language

• Fluent in English.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

We offer:

• Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Unlimited access to the Udemy learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.