Senior Data Analyst
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Level: 4
Salary band: £65,000 - £85,000
Bonus: 8% performance-based, discretionary
Location: 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.
We are seeking a skilled Data 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 making an impact on business performance.
This person 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 promote data fluency across all of your interactions. This hire 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, but not limited to, company growth metrics, product usage, and operational efficiency.
- Develop self-service analytic 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
- Perform data transformation and manipulation tasks to prepare datasets for analysis, including cleaning, aggregating, and structuring data to meet business requirements
- 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, NumPy
- Hands-on experience working with Snowflake or other cloud-based data warehouse platforms (e.g. Databricks,) including writing and optimising complex SQL queries for large-scale datasets
Business Acumen
- Ability to learn core business metrics across departments and ability to fluidly translate the requirements into business insights with the support of the leadership team
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
- 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 organisation as well as other Data personnel.