Feather (Germany)

Compensation

Full Description

About the position We’re looking for a Data Analyst to join Feather. This is a full-stack data role at the intersection of insurance and B2C, two domains where data sits at the core of how decisions are made. You’ll work end-to-end with data, from building and improving transformation pipelines to working directly with stakeholders to turn raw data into clear insights they can act on. Insurance is built on risk statistics, which requires large volumes of data. Combined with a fast-growing B2C product, this creates a uniquely data-intensive environment. At Feather, data is used across everything we do, from pricing and fraud detection to product decisions and new AI-driven initiatives. Why work at Feather? Data drives how we operate. You’ll work at the intersection of two highly data-driven worlds: insurance, which is built on statistics and risk, and a fast-moving B2C startup where data informs daily decisions. A modern tech stack to work with. We run a lean, self-hosted data stack: Airbyte and dbt Core for extraction and transformation, BigQuery as our warehouse, and Metabase for BI. We are also fans of low-code solutions and n8n. We’re small, lean, and we love what we do. The usual buzzwords here, except we actually mean them. Staying small helps us focus on what matters, and we want to keep it that way. There's plenty of space to grow. We trust you to take ownership and make decisions from day one, and we will give you all the support and mentorship you need to succeed. Flexible remote work policy. We offer a remote-first work environment with an office in Berlin. We host company retreats, team dinners, and meetups to spend in-person time together. 4-month sabbatical. After 4 years at Feather, you can take 4 months off, with financialsupport from us, to do whatever energizes you: travel the world, write a book, volunteere, or just unwind. Responsibilities • Work across all of the data lifecycle. • Work all across Feather. • Help the marketing team test new channels and different approaches to the attribution model. • Collaborate with the product team to develop the system of tracking events, and analyze the behaviour of our customer in our mobile app. • Work together with the operations team to come up with metrics to measure efficiency of support calls. • Analyze fraudulent customer behaviour together with the finance team. • Take shifts in our Data Clinic • Promote data culture. • You will run training sessions and company presentations, build documentation, and look for other ways to educate people about data. Requirements • Great analytical skills. • Excellent communication and presentation skills. • Curiosity in learning new tech. • Great knowledge of SQL for analytics. Benefits • Flexible remote work policy. • 4-month sabbatical.