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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 sciencesfrom diagnostics and drug discovery to synthetic biology.

But were more than just a company disrupting the industrywe'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: Youll 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, youll 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).
  
  

• 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
  
  

• 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
  
  

• 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
  
  

• 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
  
  

• 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
  
  

• 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
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  IT System Data Services

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