Role Overview:
We are looking for a versatile Commercial Analytics Consultant to strengthen Lingaro’s Commercial Analytics Practice. This role is ideal for someone who enjoys working across the full commercial analytics landscape — from framing business questions and designing analytical approaches to shaping scalable data and AI solutions for global consumer goods companies.
You will operate at the intersection of business, analytics, and technology, contributing to three key areas:
The role requires a strong ability to translate business needs into actionable analytics, working closely with both client stakeholders and Lingaro delivery teams to ensure solutions are relevant, scalable, and impactful.
Key Responsibilities:
Translate Business Problems into Analytics Solutions
• Partner with client commercial teams (sales, marketing, RGM, digital, customer development) to frame key business questions and success criteria.
• Convert business needs into clear analytical requirements, KPIs, and solution designs.
• Structure analytical approaches that combine data, metrics, and models to generate meaningful business insights.
• Ensure solutions are designed to be repeatable and scalable across markets, brands, or business units.
Support Pre-Sales and Client Engagements
• Support the development of client proposals and solution approaches for commercial analytics opportunities.
• Contribute to:
• Participate in client discussions and presentations to explain how analytics and data solutions can address commercial challenges.
Contribute to Solution Development & Industrialization
• Support the design and development of reusable analytics accelerators, frameworks, and templates across commercial analytics domains.
• Contribute to standardized KPI frameworks, data models, and solution blueprints that enable faster project deployment.
• Collaborate with data engineering, BI, and data science teams to ensure solutions are technically robust and production-ready.
Collaborate Across Delivery Teams
• Work closely with data engineers, BI developers, and data scientists to ensure the correct implementation of analytical logic and business requirements.
• Participate in solution validation, testing, and refinement to ensure accuracy, usability, and business relevance.
• Ensure strong alignment between business intent and technical implementation.
Required Experience & Skills
Commercial Analytics Experience
• 5–7 years of experience in analytics consulting, commercial analytics, or data-driven business roles.
• Exposure to multiple commercial analytics domains such as:
• Experience translating business questions into analytical approaches and deliverables.
Analytics & Technology Foundation
• Strong analytical foundation with experience working with multi-source commercial data.
• Experience defining KPIs, metrics frameworks, and analytical workflows.
• Hands-on experience with analytics and BI tools such as:
• Familiarity with data pipelines, data modelling, and scalable analytics solutions is a strong plus.
Consulting & Communication Skills
• Ability to structure problems and design practical analytics solutions.
• Strong communication skills with the ability to explain analytical approaches and insights to both business and technical stakeholders.
• Comfortable working in client-facing environments and collaborating with cross-functional teams.
• Structured, pragmatic, and solution-oriented mindset.
Language:
• Fluent in English.
About the Commercial Analytics Practice at Lingaro:
Lingaro’s Commercial Analytics Practice designs and delivers AI-powered analytics solutions that help global consumer goods companies improve commercial performance and decision-making.
We work across the commercial value chain — including sales, marketing, revenue growth management, customer development, and digital commerce — helping organizations transform complex data into scalable analytics solutions and decision tools used by commercial teams worldwide.
Our focus is on building industrialized analytics products and reusable capabilities that can be deployed efficiently across markets and business units.
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