Role Overview

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.

Key Responsibilities

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.

Required Experience & Skills

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.