Product Data Analyst - Statistical Analysis
Location: London, UK (hybrid working)
Salary: £50,000 - 70,000
Our technology
Our mission is to transform the Multifamily real estate industry by empowering organisations with advanced AI solutions to drive optimisation and efficiency. Through every conversation we have with our users we learn, extracting and generating vast quantities of data. This conversational 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.
Our single artificial intelligence stack includes solutions for cost transformation, employee training, customer retention and property performance. We seamlessly integrate applied AI and generative AI within a single, unified platform, so you can address businesses' most critical challenges by taking the right actions at the right time.
About the Role
As a Statistician within our product development team, you will play a pivotal role in leveraging data to drive innovation and solve real-world problems. You will collaborate closely with cross-functional teams, including engineers, data scientists, and product managers, to analyse data, develop prototypes, and contribute to the evolution of the Travtus product portfolio. Your expertise in statistical analysis, data modelling, and problem-solving will be essential in shaping the direction of our products and services.
This is a role for an experienced Statistician who has experience, or a strong affinity with product development. You will drive the long-term growth of Travtus products through a combination of data analysis, product ideation, and experimentation to optimise user experiences.
Tasks
- Exploratory Data Analysis
- Conduct exploratory data analysis to uncover statistical indicators and patterns within our datasets
- Assess the shape and quality of data, identifying any anomalies or inconsistencies
- Evaluate the statistical significance and volume of data to inform decision-making
- Select statistical analysis techniques and algorithms based on project requirements
- Data Modeling and Prototyping
- Build data models as prototypes to address real-world problems and challenges
- Develop and refine statistical models using Python (and SQL)
- Collaboration and Ideation
- Engage in brainstorming sessions with leadership and cross-functional teams to generate innovative ideas and solutions
- Communicate findings and insights effectively to stakeholders, contributing to high-impact solutions
- Building and executing test plans
- Orchestrate testing to avoid problems when your data solutions move into a production setting
Must-have requirements
- Professional experience as a Data Analyst or Statistician utilising advanced statistical analysis techniques
- Professional level in Python, SQL and Excel for data manipulation, analysis, and modelling.
- Experience working with multi-disciplinary product teams consisting of but not limited to software engineers, product managers and data scientists
- Commercial experience working with data warehousing (DWH) and large datasets
Nice-to-have requirements
- Ideally, educational background (degree or higher) or professional experience in Statistics, Mathematics, Economics, Quantitative Research, Trading or similar
- Work experience with a tech consultancy or a product-led tech company
- Working knowledge of AWS, QuickSight and RedShift is an advantage, but not essential
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.
Help us shape the future of technology andApply now!
