Data Analyst

WE ARE LANDSEC  
 

We identify and shape places that create opportunity, enhance quality of life, and bring joy to the people connected to them. 
 

This is how we’ve created the UK’s leading portfolio of urban places and one of the largest real estate companies in Europe.  
 

Our £10 billion portfolio is built around premium workplaces, the country’s pre-eminent retail platform, and a residential pipeline that will redefine urban life.  
 

We’ve honed this ability over 80 years. Spotting the opportunities, building the partnerships, and continually adapting to shape the places that meet the needs of a changing world.  
 

Places where life happens. Where businesses grow. And where cities are defined. 
 

LOCATION  
 

This role is based at Victoria, London and offers hybrid working (3 days in the office).  

THE TEAM 
 

It’s an exciting time at Landsec for our Data Team.  We have a lot to achieve in order to enable the business to achieve its over-arching strategy and objectives – using data as a foundation for the decisions our leaders make.  It’s vital that our team has people with the right skills, experience and capability to do that – covering Data Science, Data Analytics, Data Engineering, Data Architecture, Data Operations and Data Governance. 

THE ROLE 

We are looking for Data Analysts to work with key stakeholders to ensure that our data and analytics products and capabilities drive and inform the business strategies across Landsec. You will work with all manner of data, including rental income, logistics and operational costs, market research, profit margins, finance operations and brand partner sales. 

The successful data analyst will possess an interdisciplinary set of skills across data modelling, data management, data visualisation and data science/statistical analysis. You will have strong hands on skills in SQL and modern data visualisation tools, with the ability to build robust data models and transform complex datasets into clear, actionable insights.  

You will have the communication skills required to understand business requirements and translate and present data insights to technical and non-technical stakeholders. You will build consensus around a common purpose, actively listen, persuade and network with key stakeholders. You will be curious, with an impulse to seek new information, explore how Landsec works and discover new ways to drive Landsec’s business strategy with data and analytics. 

Salary: Up to £50,000 per annum

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 PRINCIPLE ACCOUNTABILITIES  

Building and Embedding Data and Analytics Products in a Commercial Environment 

• Building data and analytics products (reports, dashboards, visualisations, analysis, data science) and working with multiple internal / external stakeholders to drive business adoption and performance. 

• Quickly build internal (business) and external (market) knowledge and assess new data and analytics opportunities (gathering ideas, research, carrying out analysis, refining and prioritising new requirements) 

• Analyse and translate business needs into data models, ensuring that they meet the data standards required for these to be a reusable and long-term data asset for Landsec 

• Measure impact, success and adoption using relevant metrics/KPIs, and use this to inform future enhancements of the data and analytics products 

• Understand governance and can participate in processes that enable good data management and quality practices. Can communicate and improve data management practices in the work being undertaken. 

Working in Matrix Organisations and Influencing Stakeholders 

• Work with stakeholders across Landsec to ensure that data and analytics products drive performance in accordance to the business strategy, and managing expectations accordingly 

• Work with Director, Analytics, Data Science and Data Governance, to ensure that business value is maximised from the data and analytics products created 

• Provide data and analytics expertise and collaborate with Landsec internal teams to enable them to adopt data and analytics products 

• Communicate with stakeholders and share actionable insights through a variety of channels, including data visualisations, to articulate business value and drive business decision making 

Problem Solving in a VUCA Environment 

• Analyse, prototype and validate work around a minimum viable product (MVP) for any new Analytics product/ feature.  

• Identify, analyse and interpret trends or patterns in complex data sets, and recognise where additional data is required to solve a problem 

• Identify opportunities to use data science to glean further business value and insights from the data model 

• Work in sprint/release planning sessions to deliver prioritised use cases and deliver maximum business value with the least effort 

• Collaborate with Data Engineers to productionise data and analytics products 

ESSENTIAL CRITERIA 

• Proven experience as a Data Analyst (e.g., database management, data mining, analysis, reporting, data science) 

• Proven hands-on experience in data analysis using a programming language (e.g., Python, R) 

• Understanding of data modelling fundamentals (e.g. fact/dimension tables, relationships, star schema) 

• Experience creating or managing databases (e.g., SQL) 

• Expert knowledge of spreadsheet tools (e.g., Microsoft Excel, Google Sheets) 

• Sound knowledge of data visualisation software (e.g., PowerBI, Qlik, Tableau) 

• Strong communication skills to collaborate with stakeholders and articulate the value of data analysis 

• Team-working 

• Undergraduate degree in Data Science, Mathematics, Statistics, Engineering, Computer Science, Economics, Operational Research, or similar quantitative subjects (Masters degree preferred) 

At Landsec, we value diversity & inclusion. We work to better reflect the diversity of the communities we work within and empower everyone who works at Landsec to realise their potential.

We strive to ensure all our information, and services are accessible to and usable by everyone. If you would like to receive any information in a different way or would like us to do anything differently to help you apply for our roles, please get in touch with our recruitment partners by emailing [email protected]

To find out more about our approach, visit our Diversity and Inclusion page.