Director of Data (BI & Analytics)

Reposted 8 Days Ago
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Berlin, DEU
In-Office
70K-120K Annually
Senior level
Artificial Intelligence • Industrial
The Role
Lead the Data functions, developing models and AI systems to enhance Sales, Operations, Procurement, and Finance capabilities, integrating data with business strategy.
Summary Generated by Built In
About Andercore

Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond.

We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset-intensive supply chain with four or five intermediaries and weeks of manual coordination.

Where we are today:

  • Strong triple-digit-million euro turnover

  • Seven European markets live

  • 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai

$40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks.

We are building the world's first and last industrial-grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth.

About the Role

You will lead and further develop the Data functions, specifically the engine that turns raw operational signals into real-time intelligence for Sales, Operations, Procurement, and Finance.

This is not a back-office analytics role, it’s a front-line leadership role. You’ll own our data models, pipelines, and metrics - and develop AI-assisted systems that anticipate what happens next: which deal closes, which lane fails, which customer churns, which supplier delays, and how all our Agentic AI performs.

You’ll partner closely with Growth, Operations, and Product to turn data into a competitive advantage - running the daily rhythm of dashboards, forecasts, and decisions that move millions in GMV each week.

As part of our management leadership team, you will have a pathway to multi-region oversight, a highly competitive compensation package with performance-based incentives, and the opportunity to shape a high-performance organization from our Berlin headquarters, backed by top-tier investors.

Focus Areas
  • Build the data backbone: Own our warehouse, models, and BI stack (SQL etc.) and ensure single-source-of-truth visibility for every team.

  • Operationalise insights: Work directly with Sales and Ops leadership to translate signal into action, quota pacing, margin tracking, reactivation triggers, fulfillment risks.

  • Develop AI-assisted workflows: Collaborate with Tech to deploy GPT-based or agentic assistants for forecasting, pricing, and anomaly detection.

  • Elevate reporting: Move the company from descriptive to predictive, automate recurring reports, and power daily management decisions.

  • Own metrics: Define, implement, and track core KPIs across GMV, NRM, automation percentage and order quality.

  • Coach a small team of analysts: Hire, mentor, and scale an output-driven data team that combines speed with accuracy

  • Bridge teams: Integrate Data into the heartbeat of the business, Sales, Ops, Finance, Procurement, and Product all run off your dashboards.

  • Guarantee data quality: Clean pipelines, consistent definitions, zero ambiguity.

What Success Looks Like
  • 100% alignment on KPI definitions across departments

  • Automated, self-updating dashboards for every business function.

  • Forecast accuracy >95%, margin reporting live by GMV, margin, and region.

  • One live AI-assisted data copilot embedded in Sales and Ops workflows within 3 months.

  • Significant reduction in manual reporting - ≥50% of recurring tasks automated.

  • Data stack clean, documented, and production-grade.

  • Weekly exec dashboards replacing static slide reports.

We are an equal-opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.

Skills Required

  • Experience in BI and analytics roles
  • Proven leadership in data management and AI implementation
  • Strong skills in SQL and data warehousing
  • Experience coaching and growing teams
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The Company
HQ: Berlin, Berlin
76 Employees
Year Founded: 2021

What We Do

The company is the AI-driven trade platform transforming industrial supply in infrastructure, energy, and construction materials. It connects vetted suppliers across Asia, Europe, and the GCC region with local demand through a single integrated platform. Its proprietary AI stack digitizes and automates the full lifecycle of materials trade — from procurement and pricing to inventory, logistics, and embedded financing — replacing thousands of manual, relationship-driven processes with real-time orchestration. Buyers gain instant quotes, reliable availability, and predictable delivery through a unified operating system. Suppliers benefit from accurate forecasting, disciplined demand management, and seamless integration into cross-border fulfillment networks. The company partners with leading brands to run both dropship and cross-dock fulfillment motions for large-scale transactions, turning global supply chains into predictable, repeatable, software-like workflows. Backed by top-tier investors and institutional financing partners, the company has scaled to triple-digit-million GMV, operates across six international markets, and is rapidly expanding toward profitability. With a team of 80+ people across Berlin (HQ) and Asia, it is building the world’s first industrial-grade AI operating system for materials — redefining how global trade works in one of the world’s largest and most essential industries.

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