Senior Data Analyst
110 Gulf Associates
- London, England, United Kingdom
- London, England, United Kingdom
Über
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. We are 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 Analyst to join our growing company (approximately 177 employees: 120 in the UK and 50 in the US) to drive data-driven decision-making through comprehensive analysis of internal company operations and performance. This is a pivotal role for someone who is passionate about data analysis and wants to make an impact on business performance.
This hire will own data analytics across the business. You will partner with every department to unlock key data insights through stable data pipelines, beautiful dashboards, and promoting data fluency across all of your interactions. You will be a fundamental part of our data team, spanning across many responsibilities and partnering with our Data Engineers to create a highly scalable, future-forward data strategy.
Key Responsibilities
Data Analysis & Reporting: Analyse core company data across departments; design and build interactive dashboards using BI tools for key business metrics including company growth, product usage, and operational efficiency; develop self-service analytic capabilities for department managers; conduct ad-hoc analyses to support strategic decisions; create executive-level reporting for board meetings and investor updates; ensure data accuracy and consistency across reporting platforms; participate in building and deciding our BI and data technology stack.
Data Management & Infrastructure: Perform data transformation and manipulation tasks to prepare datasets for analysis (cleaning, aggregating, structuring); partner with Data Engineering to implement data governance practices, ensuring robust pipelines and data quality; keep impeccable and useful documentation of all 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
Proficient in Python for data analysis, manipulation, and automation, with experience using libraries such as pandas and NumPy
Hands-on experience with Snowflake or other cloud-based data warehouse platforms (e.g., Databricks), including writing and optimizing complex SQL queries for large-scale datasets
Business Acumen
Ability to learn core business metrics across departments and translate requirements into business insights with leadership support
Experience working with company operational and/or financial data
Knowledge of data governance and compliance requirements
Soft Skills
Excellent communication skills with the 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
Comfortable with and excited about building out new processes from the ground up
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)
Reporting Structure This role reports to the Chief of Staff and will work closely with department heads across the organization as well as other Data personnel.
UK Team Benefits
Vitality Health Insurance
Private healthcare that incentivizes a healthy lifestyle
Eye Care – Get your eyes tested once a year on us!
Salary Sacrifice - EV: Sacrifice part of your monthly salary for a company car
Salary Sacrifice - Bike & Tech: Sacrifice part of your monthly salary for bike and tech products
Wellbeing & Support: Support for both physical and mental health
Wellbeing & Development Allowance: Invest in personal growth and hobbies
Spill & Employee Assistance Programme: Access therapy for you and your family
Additional Leave: Time off for dependents, personal days, and volunteering
Pension Scheme: Plan for retirement with NEST
Group Life & Critical Illness cover
Birthday: Time off for your birthday
Equal Opportunity 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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Sprachkenntnisse
- English
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