Analytics Lead, Real Estate (d/f/m)

Adevinta 2021; Berlin; Hybrid; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading analytics company is seeking an Analytics Lead for their Real Estate Domain in Berlin. This hybrid role involves executing the analytics strategy, translating business objectives into actionable insights, and coaching analysts. The ideal candidate has over 5 years of experience leading analytics in scalable environments and is proficient with modern BI tools like Tableau and Looker. You will play a critical role in guiding stakeholders, presenting insights, and developing your team's capabilities.

Qualifikationen

• 5+ years leading analytics teams in scalable environments.
• Experience with modern BI tools like Tableau or Looker.
• Strong skills in SQL, Python, and GitHub.

Aufgaben

• Translate business objectives into actionable analytics frameworks.
• Guide stakeholders in defining success criteria and insights.
• Lead KPI definition and validation across domains.
• Conduct strategic deep dives into customer and pricing analytics.
• Present insights to senior leadership clearly.
• Develop analysts while promoting high-quality analytics delivery.

Kenntnisse

Analytics leadership

Strategic thinking

Data storytelling

Cross-functional collaboration

Coaching and development

Data product mindset

Modern BI tools

SQL

Python

GitHub

Tools

Tableau

Looker

Jobbeschreibung

As Analytics Lead for the Real Estate Domain, you own the execution of the analytics strategy, ensuring prioritization and impact-driven insights for our end-to-end Real Estate experience. Your mission is to implement the Data & Analytics vision and roadmap for Real Estate, translating domain needs into clear priorities, robust metrics, and data products that steer product and business decisions. By coaching analysts, planning capacity, and channelling domain requirements into clear priorities, you deliver trusted insights that generate growth in a vibrant Real Estate marketplace.

This is a hybrid role, our office is in Berlin-Charlottenburg. You report to David Sandowski, Head of Analytics.

What You’ll Do

• Translate Real Estate strategy and business objectives (OKRs) into actionable analytics frameworks and measurable outcomes.

• Own the execution of the data & analytics strategy for the domain with a focus on prioritisation and impact-driven insights.

• Guide stakeholders in framing hypotheses, defining success criteria, and shaping decision-ready insights across initiatives such as vibrancy and marketplace health (supply and demand), pricing and packaging changes, as well as product rollouts and go-to-market experiments.

• Lead the cross-domain definition and validation of Real Estate KPIs, aligning Product, Tech, Business, and Marketing around shared goals.

• Conduct strategic deep dives into priority topics such as customer base audits, pricing performance, and user segmentation.

• Present insights and recommendations to senior forums, including the Real Estate Leadership Team, with clarity and impact.

• Co-design workflows that enable proactive monitoring and insight generation, ensuring a focus on high-quality analytics delivery.

• Coach and develop analysts, while shaping workflows that enable proactive monitoring, strong prioritisation, and high-quality analytics delivery.

Who You Are

• You bring 5+ years of experience leading analytics teams in highly scalable environments, partnering cross-functionally with both product and business stakeholders.

• You are a strategic thinker who enjoys turning numbers into narratives and meaningful impact.

• You know how to develop talent and act as a role model for your team with transparent and proactive communication.

• You have scaled analytics functions and consistently apply a data product mindset to drive consistency and value creation.

• You are experienced with modern BI tools such as Tableau or Looker and know how to turn complex data into clear, actionable insights.

• You combine strategic vision with hands-on analytical skills, tools and concepts like dbt, SQL, Python, and GitHub are familiar and meaningful parts of your workflow.