Senior Data & BI Analyst

London, United Kingdom

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Automata

Automata LINQ platform: an open, integrated lab automation solution, designed to help labs unlock their potential, lab space and scientists.

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Level: 4
Salary band: £65,000 - £75,000
Bonus: 8% performance-based, discretionary
Hybrid - work in our London office 3x/wk

At Automata, we're on a mission to transform how scientists work by making automation accessible to every lab in the world. We believe that by giving labs the power to automate, we can unlock discoveries that will shape the future of life sciences—from diagnostics and drug discovery to synthetic biology.

But we’re more than just a company disrupting the industry—we're a team of innovators, problem-solvers, and creators passionate about empowering scientists. Our LINQ platform combines hardware and software to streamline workflows, making lab automation fast, flexible, and affordable. This means our customers can focus on groundbreaking research, while we take care of the rest.

Why Work at Automata?

  • Impact: Your work will directly contribute to advancements in science and medicine, supporting labs around the globe as they push boundaries in research and innovation.
  • Innovation: You’ll be part of a team solving complex problems (seriously, no one else has figured out how to do this yet), using cutting-edge technology (we have robots).
  • Growth: We invest in our people. Whether through hands-on experience, professional development, or collaborative projects, you’ll grow both professionally and personally.
  • Community: Join a diverse, passionate team that values collaboration (golf on a Thursday, Soccer once a month, movie nights whenever we fancy it).

We are seeking a skilled Data&BI Analyst to join our growing 177-person company (120 in the UK, 50 in the US) to drive data-driven decision-making through comprehensive analysis of our internal company operations and performance. This is a pivotal role for someone who is passionate about data analysis and wants a crash course on driving business performance.

Key Responsibilities:

Data Analysis & Reporting

  • Analyse core company data across departments

  • Design and build interactive dashboards using BI tools for key business metrics including, but not limited to, company growth metrics, product usage and operational efficiency.

  • Develop self-service analytics capabilities for department managers based on data needs and priorities.

  • Conduct ad-hoc analysis to support strategic business decisions

  • Create executive-level reporting for board meetings and investor updates

  • Ensure data accuracy and consistency across all reporting platforms

  • Be part of building and deciding our BI and data technology stack


Data Management & Infrastructure

  • Work closely with Data Engineering to implement data governance practices, ensuring data quality and acting as a key data stakeholder

  • Document data sources, definitions, and methodologies

Required Qualifications

Technical Skills

  • Bachelor's degree in Data Science, Statistics, Mathematics, Economics, or related field

  • Demonstrable experience in data analysis, business intelligence, or a related role

  • Proficiency in SQL and querying from a variety of data sources (databases, data warehouses, SaaS reporting applications)

  • Experience with BI tools (ThoughtSpot, Tableau, Power BI, Looker, or similar)

  • Strong Excel skills, including pivot tables, advanced formulas, and data modelling

  • Understanding of statistical concepts and data visualisation principles

  • Optional: Programming experience in Python or R for data analysis


Business Acumen

  • Ability to learn core business metrics across departments and ability to translate the requirements into business insights with the support of the leadership team

  • Experience working with company operational and/or financial data

  • Knowledge of data governance and compliance requirements


Soft Skills

  • Excellent communication skills with ability to present complex data insights to non-technical stakeholders

  • Strong problem-solving and critical thinking abilities

  • Detail-oriented with high accuracy standards

  • Ability to work independently and manage multiple priorities

  • Collaborative approach to working with cross-functional teams


Preferred Qualifications

  • Experience in companies of similar size (100-200 employees) and/or being one of the first BI/Data employees

  • Certifications in relevant BI tools or data analysis platforms

  • Experience with cloud platforms (AWS, Azure, Google Cloud)

  • Knowledge of data warehousing concepts


Reporting Structure

This role reports to the Chief of Staff and will work closely with department heads across the organisation.

US team benefits:

Healthcare 🩺
Competitive healthcare for you and your family

401k 💰
We offer a 401(k) retirement savings plan

Well-being budget ☀️
Invest in your own well-being, personal growth, and hobbies

Holiday 🏖
30 days + 10 federal holidays

Additional leave days ☺️
Time off for dependents, 'Me days', birthdays and volunteering days off

Birthday trees 🌳
Planting a tree for every employee on their birthday, every year

Paid sick leave 🏥
10 days paid sick leave to stay home and focus on rest and recovery

Mental health support 🧠
Access the therapy for you and your family through Spill

Career progression frameworks 💫
Each department & discipline has a progression framework

We are an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Discrimination of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status is strictly prohibited.

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Tags: AWS Azure Biology Business Intelligence Data analysis Data governance Data management Data quality Data Warehousing Drug discovery Economics Engineering Excel GCP Google Cloud Looker Mathematics Power BI Python R Research SQL Statistics Tableau

Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Health care Salary bonus Startup environment

Region: Europe
Country: United Kingdom

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