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Role OverviewWe are looking for a solution-oriented Sales / Route-to-Market (RTM) Analytics Consultant to strengthen Lingaro’s Commercial Analytics Practice. This role is ideal for someone who thrives in designing analytics solutions end-to-end — from framing the business problem and defining the analytical approach, to shaping scalable data products that can be deployed across markets. You will sit at the intersection of business, analytics, and technology, playing a critical role in solution architecture, use-case design, and industrialization of RTM analytics offerings for global consumer goods clients.Key ResponsibilitiesOwn Solution Design & ArchitectureLead the solutioning of Sales & RTM analytics use cases, including:Sales performance & productivity dashboardsSales force effectiveness and coverage modelsDistributor / wholesaler performance solutionsOutlet universe, numeric & weighted distribution analyticsTerritory, route, and channel optimization use casesDefine end-to-end solution blueprints: data inputs, metrics, analytical logic, outputs, and business actions.Translate Business Problems into Scalable AnalyticsWork closely with client sales, GTM, and trade marketing teams to frame business questions and success criteria.Convert business needs into clear analytical requirements and user stories that can be industrialized.Ensure solutions are actionable, repeatable, and scalable across countries or regions.Drive Industrialization & ReusabilityContribute to building reusable RTM accelerators, data models, KPI frameworks, and analytics templates.Standardize metrics, logic, and reporting structures to enable faster deployments and consistent insights.Partner with engineering and data science teams to ensure solutions are robust, automated, and production-ready.Partner with Delivery & Technology TeamsAct as the solution owner during delivery, ensuring alignment between business intent and technical implementation.Review analytical logic, dashboards, and outputs to guarantee business relevance and quality.Support testing, validation, and rollout of solutions.Support Pre-Sales & Client SolutioningPlay an active role in pre-sales solution design, including:Shaping solution approachesDeveloping POVs and demo use casesEstimating scope and effortSupport client pitches by articulating how analytics will solve concrete sales and RTM problems.Build RTM Analytics CapabilityContribute to internal documentation, playbooks, and best practices for RTM analytics.Required Experience & SkillsDomain & Solutioning Experience5–7 years of experience in analytics consulting, CPG, or sales analytics roles.Strong hands-on experience designing Sales / Route-to-Market analytics solutions, such as:Sales force KPIs and productivity modelsDistribution, coverage, and outlet segmentationChannel and customer performance frameworksProven ability to move from business problem → analytics design → scalable solution.Analytics & Technology FoundationStrong analytical foundation with experience working on multi-source sales and distribution data.Comfortable defining KPI logic, data transformations, and analytical workflows.Experience working with analytics and BI tools (e.g. SQL, Python, Power BI, Tableau, or similar).Familiarity with data pipelines, automation, and analytics product concepts is a strong plus.Consulting & Communication SkillsStrong solution storytelling skills — able to explain what the solution does, why it matters, and how it drives action.Ability to work with senior business stakeholders while coordinating closely with technical teams.Structured, pragmatic, and impact-focused mindset.LanguageFluent in English.About the Commercial Analytics Practice at LingaroLingaro’s Commercial Analytics Practice designs and delivers AI-powered analytics solutions that help global consumer goods companies improve how they go to market. Our Go-to-Market & Sales Analytics pillar focuses on turning complex sales and distribution data into scalable decision tools used daily by commercial teams. We build solutions — not just analyses — spanning Sales Effectiveness, Distribution Analytics, Route Optimization, and Growth Enablement, with a strong emphasis on industrialization and reuse across markets.
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