Manager, Business Data Analytics (m/f/d)

**This position is based in Bulgaria with hybrid or remote working options. Applicants must hold a valid work/residence permit for the respective location.**

Chaos is a leading global software company that provides world-class visualization and design solutions, empowering creative minds to bring ideas to life.

For over twenty years, Chaos has developed innovative technologies serving multiple industries, including architecture and design, media and entertainment, and product e-commerce. Chaos’ solutions help architects, designers, VFX artists/animators, and other creative professionals share ideas, optimize workflows, and create immersive experiences.

Headquartered in Karlsruhe, Germany, Chaos is a global company with offices in 11 cities worldwide. In 2022, Chaos and Enscape merged, bringing together two industry-leading companies into one. Since then, Chaos has continued to grow with the additions of Cylindo, AXYZ Design, and Evolve Lab, further expanding our expertise and solutions across architecture, design, e-commerce, and AI. For more information, please visit chaos.com.

Role Overview

The Manager, Business Data Analytics will act as the analytics business partner to every team at Chaos that runs on data. You will build and develop the Business Data Analytics team’s analytical capability while staying deeply hands-on with analytics production. The role will have responsibility for the intake, quality, and delivery of analytical outputs across the business, from commercial metrics like ARR, conversions, GRR, and retention, to product usage, operational analytics, and ad-hoc cross-functional analysis, translating business questions into rigorous, decision-ready insight.

Main Responsibilities

• Lead and develop the BDA team of 3 by managing performance, build analytical capability, and create clear ownership, while staying hands-on with production.

• Serve as the analytics business partner to the whole organisation with a primary focus on Revenue, Finance, Product, Operations, and any other function requiring data-driven insight.

• Oversee and ensure prompt delivery of ARR, conversions, GRR, usage, attribution, retention, CHS dashboards, and cross-functional analytical requests.

• Manage the analytical demand queue through effective measures to ensure that priority requests are met and find ways to automate the demand queue to ensure prompt delivery of service.

• Co-own KPI and metric definition with functional stakeholders, validate measurability and feasibility of proposed metrics for Revenue, Finance, Product, and Operations.

• Build the data layer that feeds board and investor reporting, partnering with RevOps on the revenue narrative and with Finance and leadership on the broader business story.

• Translate business needs from all functions into technical specifications for the Data Engineering & BI team.

• Partner with Data Engineering & BI on infrastructure and pipeline requirements that support analytics delivery.

• Maintain insight quality feedback loops with all stakeholder functions and continuously raise the analytical bar.