Our mission at Cloud Cycle is to reduce global CO₂ emissions by 1% and save the construction industry billions of pounds in the process. We are making this huge impact by helping concrete suppliers deliver better quality concrete with much less waste.

We do this by installing multiple sensors on concrete mixer and transforming that data into valuable insights for concrete producers and consumers, driving improvements in quality and efficiency.

We are approaching our third large funding round and have won several large government grants to support our product roadmap and R&D pipeline.

We are scaling rapidly, and we need capable, creative, passionate, and motivated individuals to be a part of the Cloud Cycle mission.

The Role

This role is as part of the data science and analytics team reporting to the Insights Team Lead. You will be hands-on, analysing data and generating actionable insights from day one. There is exceptional potential for career growth within a rapidly scaling company.

In the first six months you will

• Analyse the data from our on-truck measurement system

• Translate analysis findings into clear, actionable insights

• Work with the Customer Success team to design and implement new metrics and dashboards for our key analytics products

• Maintain and developing analytics tools and reports to assist our Operations team

• Work closely with Data Scientists to develop features and reports that draw on both analytics and outputs of statistical models

• Support cross-functional teams with ad hoc data analysis and queries

Required Skills

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience

• 2-3 years working as a Data Analyst or similar role

• Strong SQL skills, comfortable writing and optimising complex queries

• Hands-on Power BI experience (or with similar dashboard tool)

• 1+ years of Python programming experience with focus on data manipulation and visualisation libraries like Pandas and matplotlib

• Solid grounding in statistics, including hypothesis testing, descriptive and inferential statistics, and basic experimental design.

• Excellent documentation and data presentation skills

• Experience communicating highly technical results to a diverse audience

• A desire to work in a fast-paced startup environment

Salary for this role is in the range of £45-55k plus an equity component dependent on experience. We work hybrid with two days per week in our central London office. Please include a cover letter with your application.