Kraken - Data Analyst (Analytics Engineering)
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• Strong SQL skills, including complex queries and window functions • Hands-on experience using dbt in a real production environment • Experience building dashboards that are used by real stakeholders • Familiarity with a modern data warehouse (Databricks, Snowflake, BigQuery, or similar) • Confidence working with Git and collaborating through pull requests • Ability to explain data clearly to non-technical stakeholders • Client-facing or stakeholder-heavy analytics experience • Experience with Lightdash, Looker, Tableau, or Power BI • Exposure to Telco, utilities, or complex data domains • Kraken is a certified Great Place to Work in France, Germany, Spain, Japan and Australia. In the UK we are one of the Best Workplaces on Glassdoor with a score of 4.7. Check out our Welcome to the Jungle site (FR/EN) to learn more about our teams and culture. • Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. If you have any specific accommodations or a unique preference, please contact us at [email protected] and we'll do what we can to customise your interview process for comfort and maximum magic!
Responsibilities
• Build and maintain analytics data models using dbt, turning complex Kraken data into trusted, usable datasets • Write advanced SQL every day to support data modelling, analysis, and real product and client questions • Create dashboards and metrics that help Telco teams understand performance and make better decisions • Align closely with Product Managers and Engineers to define metrics and shape insight • Work directly with Kraken’s Telco clients, helping them navigate complex data models, answer real business questions, and represent Kraken confidently in data conversations • Be part of a supportive client-support rota, handling incoming data questions with growing independence • Collaborate in a Git-based workflow, contributing clean, well-reviewed code in a fast-moving team