Commercial Data Specialist (Full-Time)

TL;DR

We’re hiring a Commercial Data Specialist to own Tendium’s commercial data foundation end-to-end, from integrations and data pipelines to analytics and insights. You’ll make sure CRM, product, and financial data flows cleanly across our tech stack, power decision-making for Sales, Marketing, and Customer Success, and together with our tech team, you will build scalable models using tools like SQL, Python, dbt, and Airflow. If you like working close to the business and turning messy data into trusted insights, this role is for you.

About the Role

We’re looking for a technically strong, analytically driven Commercial Data Specialist to own and develop the data foundation of Tendium’s commercial organisation. You’ll join our Commercial Operations team, a cross-functional team responsible for shaping how Tendium’s commercial organisation operates, scales, and collaborates across Marketing, Sales, Customer Success, Finance, and Product.

In this role, you’ll work hands-on with CRM data, financial data, product usage data, and internal analytics initiatives, with clear ownership of how data flows and integrates across Tendium’s commercial tech stack. You’ll ensure that data is not only insightful, but also well-orchestrated, reliable, and scalable across systems.

You’ll build the analytical and integration layer that supports forecasting, performance tracking, segmentation, and market expansion, helping teams understand what’s happening, why it’s happening, and what to do next.

The Commercial Operations team sits at the centre of Tendium’s revenue organisation, defining ways of working, owning the systems that power commercial execution, and enabling tighter collaboration between revenue teams. Within this context, your focus will be on data, analytics, and technical foundations, making sure our numbers are trusted, comparable, actively used, and seamlessly connected across tools and markets.

If you enjoy working close to the business, collaborating across functions, challenging assumptions, and building data structures and integrations that scale, this role is for you.

Why Tendium?

Tendium is the global pioneer in AI-driven public tender management, transforming how companies discover, analyse, and win government contracts. Our platform turns complex processes into something simple and transparent, empowering businesses to compete fairly for billions in public sector opportunities.We’ve been building our AI-native platform since 2018, leveraging a vast data moat, agentic AI, and tens of thousands of hours of R&D. Today, we serve large numbers of customers across Europe and are rapidly scaling.

If you’re ready to make an impact and grow with us, we want to hear from you.

What You’ll Do

You’ll own and develop the data foundation of Tendium’s commercial organisation, ensuring that marketing, sales, and customer success decisions are grounded in reliable, well-structured, and actionable data.

• Own and develop the data foundation of Tendium’s commercial organisation, ensuring that marketing, sales, and customer success decisions are grounded in reliable, well-structured, and actionable data.

• Take specific responsibility for integrations between applications in Tendium’s commercial and data tech stack, ensuring consistent data flow across CRM, product analytics, finance systems, and internal tools.

• Own and develop the analysis and application layer across Tendium’s core commercial data domains, including financial data, CRM, product usage data, and internal data projects, ensuring robust data models, clear definitions, and reliable inputs for reporting, forecasting, and decision-making.

• Together with our tech organisation, you will design, and maintain data transformation and orchestration pipelines using tools such as dbt, Airflow, or equivalent, ensuring scalable, maintainable, and well-documented data workflows.

• Own CRM and revenue data quality at scale by implementing validation rules, enrichment logic, deduplication routines, and monitoring frameworks to ensure high data integrity over time.

• Create and maintain dashboards, reports, and analytical views that give commercial teams clear insight into funnel performance, pipeline health, revenue drivers, and cohort behaviour.

• Run funnel and performance analysis, including stage-level conversion analysis, time-to-close diagnostics, churn and expansion insights, and market-level comparisons.

• Build a data-driven Customer Success engine by developing analytics for customer health, churn, renewals, onboarding, and product adoption; surfacing upsell and cross-sell opportu