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Lead Data Analyst

Updata Partners
London
4 days ago
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WHO WE ARE

We are on a mission to drive tech-enabled change for developers to shape the communities of the future. LandTech is supercharging the whole development process by building technology for every stage of a property developer's journey towards unlocking land. 90% of the 200 top global cities have a housing crisis, and it’s too difficult for property developers to build the places we need. To keep up with demand, the property industry needs to keep evolving. LandTech is part of that evolution. Established in 2014 with two Co-Founders passionate about solving a complex problem, our product offering is the industry standard for site sourcing and assessment, and we are now a multi-million-pound business carving a path to international success. Sound interesting? Come and join us.


THE ROLE

This role is part of the Technology Department, which is the driving force in the expansion of our solutions and innovation in the property development world. This role reports to the Data Engineering Manager, leading a team of data experts, providing specialist analytics to the business & clients. As an expert in one or more of our data domains, you will take ownership of the data we source, steward its quality and integrity, and ensure it delivers meaningful value to the business and our customers.


KEY ROLE ACCOUNTABILITIES

  • Leading a team of data experts, responsible for their growth and delivery
  • Identifying new data sets and deriving insight, working with stakeholders to assess in terms of quality, fitness of purpose and value
  • Delivering analytics on our data, supporting the process from specification and pricing to delivery
  • Providing data stewardship of our application data, and providing 2nd line support for data queries raised by users
  • Contribute to the development of our data models and architecture
  • Cataloguing our data and mapping sources, highlighting gaps and areas of risk against business goals
  • Completing Data validation to support entry into new markets or delivery of new capabilities into established markets
  • Deliver and iterate on our data strategy
  • Driving team performance, development, and recognition in line with the business strategy

ESSENTIAL EXPERIENCE

  • Provide experience in leading and developing a small team of analysts or data professionals
  • Proficiency in delivering analytics and insight
  • Knowledge of geospatial analysis and GIS software (QGIS, PostGIS or similar)
  • Ability to communicate complex data stories and insights to senior management, resulting in business impact
  • Experience in the PropTech industry, understanding of UK planning system, land registry & OS datasets
  • Data visualisation & manipulation skills with a flexible approach to tooling
  • Extensive experience with SQL

NICE TO HAVE

  • Statistical modelling, machine learning and predictive analysis experience
  • Python or basic coding
  • Strategic thinking around data product development and customer value creation

OUR BENEFITS INCLUDE

  • Remote-first Working
  • Flexible Working Hours
  • 27 days Paid Holiday (plus bank holidays)
  • Flexible Bank Holidays
  • Unlimited Unpaid Holidays
  • Volunteer Charity Day
  • Personal Growth Fund
  • Remote Working Fund
  • Private Health, Dental and Optical Insurance
  • Group Life Assurance
  • Reward and Recognition Programme

OUR VALUES

At LandTech we work with:



  • Accountability – we take ownership of our actions and commitments
  • Cohesion – we succeed together as one united team
  • Courage – we embrace challenges, innovate boldly, and lead with confidence

These are our shared values. They are at the heart of who we are, what we do and how we do it.


LandTech is committed to upholding a diverse, inclusive, equitable and innovative working environment. We believe that creativity thrives when people with dynamic perspectives, different backgrounds, and unique experiences come together to work cohesively. We strive to create a workplace where everyone feels valued, respected, and empowered to reach their full potential. All employment decisions are based solely on merit, qualifications, and according to business needs.


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