Analytics Engineer

🔥 3 minutes ago

🌐 Germany, United Kingdom, +3 more countries – Remote

🇩🇪 Germany – Remote 🇬🇧 United Kingdom – Remote 🇵🇹 Portugal – Remote 🇳🇱 Netherlands – Remote 🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Appinio

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🤝 B2B

💰 Seed Round on 2018-09

Consulting • B2B

Appinio is a market research company that specializes in providing real-time analytics and consumer insights to help businesses make informed decisions. As the world’s largest opinion network, Appinio collects millions of responses daily to assist over 2000 companies worldwide in understanding consumer perceptions, testing prototypes, tracking campaigns, and conducting various forms of market analysis. Their offerings include A/B testing, brand image analysis, and pricing analysis, enabling clients to gain insights in minutes rather than weeks.

📋 Description

• Design, build, and maintain clean, scalable data models in the data warehouse using SQL and dbt • Develop and maintain data transformation workflows that convert raw data into analytics-ready datasets • Build, maintain, and troubleshoot data pipelines and integrations from APIs, databases, and third-party systems • Implement automated tests, validations, monitoring, and proactive issue resolution for data pipelines and models • Document data models, pipelines, business definitions, and transformation logic • Define, implement, and standardize key business metrics such as revenue, bookings, and churn • Collaborate with analysts, business stakeholders, and engineering teams to deliver reliable data solutions • Optimize SQL queries, dbt models, and data pipelines for performance and scalability • Explore AI-powered tools to improve workflows and automate repetitive tasks • Prepare data models, business definitions, and documentation for AI-driven analytics • Report directly to the Team Lead, Business Intelligence

🎯 Requirements

• Excellent SQL skills and hands-on experience designing, building, and maintaining scalable data models in a modern data warehouse • Practical experience using dbt to develop, test, document, and maintain reliable data transformation workflows • Proficiency in Python • Experience building, maintaining, and troubleshooting data pipelines, including integrations with APIs, databases, and third-party systems • Understanding of modern data warehouse architectures • Experience with cloud-based data warehouse solutions such as Amazon Redshift, Snowflake, or BigQuery • Strong understanding of data quality principles, automated testing, validation, and monitoring • Ability to translate business requirements into reliable data models and clearly defined metrics • Analytical, detail-oriented, and able to take ownership of technical challenges • Ability to communicate technical concepts clearly and collaborate with technical and non-technical stakeholders • Interest in AI-powered development tools and workflow automation • Application must be submitted in English

🏖️ Benefits

• Flexibility policy with an average of 30 vacation days taken and no hard cap on vacation days • Temporary work from abroad: EU-based employees can work outside their country of residence for up to 180 days per year • All required hardware, including a personal MacBook • Deutschland ticket or mobility budget via the NAVIT app for employees located in Hamburg or Berlin • Subsidised Urban Sports Club or ClassPass membership based on location • Access to co-working spaces in Hamburg, Berlin, Munich, London, Madrid, Barcelona, or New York

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