Senior Data Analytics Engineer
About The Position
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.
Requirements
- At least 7 years of experience in analytics engineering, data engineering or analytics-heavy roles.
- Bachelor’s degree in a technical or quantitative field (Computer Science, Engineering, Math, Economics, bioinformatics etc.), or equivalent experience
- Advanced SQL — strong understanding of CTEs, window functions, query optimization
- Experience working directly with business teams to align on KPIs, define requirements, and deliver impactful insights
- Comfortable writing and maintaining data dictionaries, dbt Docs, or internal wikis
- Ability to design and build BI assets that are explainable and sustainable whether they are excel spreadsheets, BI dashboards or powerpoint presentations
Nice To Haves
- Experience with Python and shell scripting is a plus
- Familiarity with version control systems (e.g., Git) and CI/CD workflows for data engineering projects
- Experience working with DBT/DBT core
- Experience with multiple BI tools (e.g., Looker, Mode, Tableau)
- Curious, self-driven, analytical and excited to play with data
- Foundation in data quality, testing, and documentation
Responsibilities
- 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
Benefits
- remote-friendly environment
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What This Job Offers
Job Type
Full-time
Career Level
Senior
