{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/data-clarity"},"x-facet":{"type":"skill","slug":"data-clarity","display":"Data Clarity","count":1},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_438dbd4f-1a6"},"title":"Senior Analytics Engineer","description":"<p><strong>Senior Analytics Engineer</strong></p>\n<p><strong>About the role</strong></p>\n<p>As an Analytics Engineer, you&#39;ll be a key early member of our data function, responsible for building and evolving the analytics foundations that power product decision-making across the company. You&#39;ll work closely with Product, Analytics, and Engineering to turn raw product data into trusted, well-defined datasets, metrics, and data products that scale with the business.</p>\n<p><strong>What you&#39;ll be doing</strong></p>\n<ul>\n<li>Partner with Product, Analytics, and Engineering to understand data needs and translate ambiguous questions into clear, scalable data models</li>\n</ul>\n<ul>\n<li>Define, build, and maintain core dbt models that transform raw product data into canonical, well-documented datasets</li>\n</ul>\n<ul>\n<li>Own metric definitions and transformation logic to ensure consistency, accuracy, and trust across reporting and analysis</li>\n</ul>\n<ul>\n<li>Establish and uphold data quality standards, testing, and expectations around freshness and reliability</li>\n</ul>\n<ul>\n<li>Work closely with Product Analysts to enable faster, higher-quality insights and decision-making</li>\n</ul>\n<ul>\n<li>Support data consumption in tools like Amplitude and Omni, ensuring data is intuitive and easy to self-serve</li>\n</ul>\n<ul>\n<li>Act as a subject-matter expert for analytics engineering, guiding best practices and helping others solve data problems</li>\n</ul>\n<ul>\n<li>Contribute to shaping the future direction of our data stack as product complexity and scale increase</li>\n</ul>\n<p><strong>About the setup</strong></p>\n<ul>\n<li>⚒️ Stack: dbt, Snowflake, Amplitude, Omni</li>\n</ul>\n<ul>\n<li>🌱 Early, high-impact role with real ownership over the analytics layer</li>\n</ul>\n<ul>\n<li>🤝 Highly collaborative environment with product- and data-savvy stakeholders</li>\n</ul>\n<ul>\n<li>🚀 Outcome-focused team where pragmatism and impact matter more than process</li>\n</ul>\n<p><strong>We&#39;d love to hear from you if</strong></p>\n<ul>\n<li>You have 6+ years of experience in analytics engineering or data engineering, ideally in product-led or high-growth environments</li>\n</ul>\n<ul>\n<li>You have strong hands-on experience with dbt and enjoy designing modular, scalable, and well-tested data models</li>\n</ul>\n<ul>\n<li>You write advanced, performant, and maintainable SQL</li>\n</ul>\n<ul>\n<li>You can translate business and product requirements into robust data pipelines and metrics</li>\n</ul>\n<ul>\n<li>You have a strong product mindset and understand how data and metrics influence product direction</li>\n</ul>\n<ul>\n<li>You&#39;re comfortable operating across the stack and taking ownership end to end when needed</li>\n</ul>\n<ul>\n<li>You care deeply about data quality, clarity, and trust</li>\n</ul>\n<ul>\n<li>You&#39;re outcome-driven and can clearly articulate the impact your work has had on teams or the business</li>\n</ul>\n<p><strong>Our culture</strong></p>\n<p>At Synthesia we&#39;re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions.</p>\n<p><strong>The good stuff...</strong></p>\n<ul>\n<li>A hybrid or remote-friendly environment for candidates based in Europe. You can work fully remote if you&#39;re not local to an office or hybrid from London, Amsterdam, Munich, Zurich or Copenhagen offices.</li>\n</ul>\n<ul>\n<li>A competitive salary + stock options</li>\n</ul>\n<ul>\n<li>25 days of annual leave + public holidays (plus the option to take 5 days unpaid leave and carry 5 days over)</li>\n</ul>\n<ul>\n<li>You will join an established company culture with optional regular socials and company retreats</li>\n</ul>\n<ul>\n<li>Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay</li>\n</ul>\n<ul>\n<li>You can participate in a generous recruitment referral scheme if you help us to hire</li>\n</ul>\n<ul>\n<li>The equipment you need to be successful in your role</li>\n</ul>\n<p>_You can see more about who we are and how we work here:_ _https://www.synthesia.io/careers_</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_438dbd4f-1a6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synthesia","sameAs":"https://www.synthesia.io/","logo":"https://logos.yubhub.co/synthesia.io.png"},"x-apply-url":"https://jobs.ashbyhq.com/synthesia/c11f83bc-46db-4c7b-a2ea-38f2ace507ba","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"A competitive salary + stock options","x-skills-required":["dbt","Snowflake","Amplitude","Omni","SQL","data engineering","product-led environments"],"x-skills-preferred":["modular data models","scalable data models","well-tested data models","data quality","data clarity","data trust"],"datePosted":"2026-03-06T18:31:20.241Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Europe"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"dbt, Snowflake, Amplitude, Omni, SQL, data engineering, product-led environments, modular data models, scalable data models, well-tested data models, data quality, data clarity, data trust"}]}