Analytics Engineer - Fluent English

You will join our Analytics Engineering team, working at the intersection of data, technology, and business strategy. Our Analytics Engineers are not only dashboard developers — they are end-to-end analytical product owners who shape how data becomes decisions for our clients.

• →Innovate - You will work with your team, made up of Data Consultants, Data Scientists, and Data Engineers — to identify client needs and define innovative solutions.
• →Learn and Share - You will be part of a collaborative team that encourages knowledge sharing. You’ll learn from others, share your own expertise, and stay up to date with industry trends and developments
• →Actively contribute to the overall knowledge and capabilities of whole Artefact
• →Lead analyses, interpret requirements, and translate the needs of different business areas into data-driven solution
• →Data Product Delivery: Design, build, and manage analytical products from discovery to delivery: map KPIs, create wireframes and mockups, implement dashboards in Power BI, Tableau, or Looker, and build semantic models that serve as a reliable source of truth for the business.
• →Data Pipelines & Engineering: Design and implement data transformation layers (Bronze/Silver/Gold / medallion architecture) using SQL, Python, dbt, or similar tools, depending on the client Data Stack. Implement data quality checks, automated tests, and metadata management practices.
• →UI/UX & Data Storytelling: Translate analytical outputs into clear, compelling narratives for executive and/or operational audiences. Create wireframes and prototypes that guide dashboard design and ensure that data products are intuitive and decision-ready.
• →Tech-to-Business Translation: Work with clients and internal stakeholders from the earliest stages of a project: lead discovery sessions, map business questions into KPI logic, evaluate data availability, and define the right analytical architecture before a single line of code is written.
• →Innovation with AI: Leverage AI-assisted tools (e.g., Coding Agents, MCP-integrated assistants) to improve your productivity in SQL writing, documentation, and exploratory analysis. Contribute to internal initiatives that push the boundaries of what Analytics Engineering can deliver.

• A degree in Engineering, Business Administration, or related fields.
• Curiosity: You’re always looking for innovative solutions for your clients. You’re involved in the entire value chain.
• Collaboration: Knowledge sharing is essential to you, and you actively contribute to spreading information within Artefact.
• Entrepreneurship: You bring solutions, new ideas, and innovations to the table.
• Fluent English: You are comfortable communicating in English, as it is essential for working in our international environment.

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!