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Product Analyst (Data)



IT, Product
London, UK
Posted on Thursday, November 17, 2022

About the Company

Travtus is a pioneering R&D company based in London, developing AI solutions for the Residential Real Estate industry. Hundreds of thousands of residents rely on Tratvus’s flagship product ADAM to help with and solve day-to-day property-related problems. Property Managers and Developers rely on ADAM to digitally automate large-scale residential projects, deliver data insights that inform business decisions, provide compliance and collaboration across multiple sites and provide their residents with amazing levels of customer satisfaction.

About the Role

Through every conversation we have with our users we learn, extracting & generating vast quantities of data. This data is invaluable to our clients, helping them gain insight into their customer experience, operational processes and more. Our goal is to help them use this data to make better decisions. From staffing, to process improvement. 

This is a role for an experienced Business Analyst / Product Analyst / Product Owner, who works on complex systems that involve data workflows and visualisations. 

They will take ownership of the Travtus data product offering with the aim of driving forward the business thinking, design, development and delivery of multiple data-focused solutions to customers. The current roadmap includes but is not limited to Dashboards, Reports, Data Feeds, Alerts and API’s.


  • Developing user requirements and defining functional designs of complex systems and data flows  

  • Building and executing test plans  

  • Analyzing and designing complex systems including those leveraging Machine Learning models (especially NLP and Large Language models) 

  • Analyzing data to draw conclusions and communicating sometimes complex concepts effectively to stakeholders


  • Demonstratable experience as a data-focused Product Analyst, Product Owner or Business Analyst

  • Experience designing and implementing data visualizations and dashboards. 

  • Experience with Excel, SQL and Python are mandatory

  • Experience with AWS, QuickSight and RedShift is an advantage, as we utilise these tools

  • Experience or good knowledge of Data-warehousing (DWH) and working with large datasets is another advantage you may have

  • Awareness and understanding of Machine Learning and how it can be utilised

  • Awareness of good data security processes and practices

About the Team 

Our team is a multi-disciplinary team of experts with everyone contributing their own area of specialism; from infrastructure to knowledge graphs, Real Estate Operations to dialogue design. 

Working in a truly collaborative style, where everyone is heard and brings something valuable to the conversation allows us to push the boundaries in this new area of technology. We are fundamentally challenging the way one of the largest industries in the world operates, and our commercial success pays testament to the skill, commitment and passion that our team displays every day.