About the role
Our Why At Dotmatics At Dotmatics, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, MStar, SoftGenetics and Virscidian. We have a vision for a new Lab of the Future that will change the future of scientific research. We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making. Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now. Shaping the Future of Science At Dotmatics Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live. You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future. We are Science Driven. We are Customer Centric. We are Better Together. What Do We Need? We're looking for a Senior Data Analytics Engineer who thrives in a fast-moving environment and enjoys solving complex data problems across a broad range of business functions. You bring hands-on experience building and maintaining data models, and you're equally comfortable diving into ad hoc analysis as you are designing scalable, automated reporting solutions. You have strong SQL skills and experience with modern analytics tooling — dbt, Looker, Snowflake, or similar — and you know how to translate raw data into insights that non-technical stakeholders can actually use. You're proactive about data quality, care about documentation and best practices, and can manage your own workload across multiple competing priorities. Experience working across the full analytics pipeline — from lead generation through to revenue — is a strong plus, as is a track record of enabling self-service analytics within a business. In this role you will get to : Develop high-impact reporting and analytics providing visibility into business operations, lead efforts to scale reporting through automation Partner with internal stakeholders (Sales, Product, Marketing, Finance, etc.) to increase the understanding, visibility and use of business metrics, encourage self-service analytics Perform ad hoc data exploration and analysis to answer immediate business needs. Identify opportunities to improve data quality, performance, and observability Help develop standards for analytics engineering best practices We are looking fo r people who have at least 7 years of experience in analytics engineering, data engineering or analytics-heavy roles. You will have a Bachelor’s degree in a technical or quantitative field (Computer Science, Engineering, Math, Economics, bioinformatics etc.), or equivalent experience The key skills we are looking for: Advanced SQL — strong understanding of CTEs, window functions, query optimization Experience working directly with business teams to align on KPIs, define