Senior Data Analytics Engineer

🕒 August 11

🌐 United Kingdom, Canada, +1 more countries – Remote

🇬🇧 United Kingdom – Remote 🇨🇦 Canada – Remote 🇮🇪 Ireland – Remote

💵 £53.2k - £72k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

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Dotmatics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Dotmatics is an AI-powered scientific intelligence platform that specializes in data management and workflow automation specifically for multimodal scientific discovery. It facilitates adaptive lab workflows, enhances collaboration across various scientific disciplines, and integrates advanced predictive analytics to accelerate research and development. With a suite of products, including solutions for bioinformatics, cheminformatics, and flow cytometry, Dotmatics supports researchers in making informed decisions, streamlining operations, and driving innovation in drug discovery and materials science.

📋 Description

• Develop high-impact reporting and analytics, providing visibility into business operations, and lead efforts to scale reporting through automation • Partner with Sales, Product, Marketing, Finance, and other internal stakeholders to increase understanding, visibility, and use of business metrics and 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

🎯 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, such as Computer Science, Engineering, Math, Economics, or bioinformatics, or equivalent experience • Advanced SQL, including CTEs, window functions, and query optimization • Experience working directly with business teams to align on KPIs, define requirements, and deliver impactful insights • Ability to write and maintain data dictionaries, dbt Docs, or internal wikis • Ability to design and build explainable, sustainable BI assets, including Excel spreadsheets, BI dashboards, or PowerPoint presentations • Experience with Python and shell scripting is a plus • Familiarity with version control systems such as Git and CI/CD workflows for data engineering projects • Experience with dbt/dbt Core • Experience with multiple BI tools, such as Looker, Mode, or Tableau • Foundation in data quality, testing, and documentation • Curious, self-driven, analytical, and excited to work with data

🏖️ Benefits

• Dynamic, remote-friendly environment • Collaborative, global team environment • Equal opportunity workplace supporting and connecting everyone