Data Analyst

WE ARE LANDSEC

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

This is howwevecreated the UKs 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 countrys pre-eminent retail platform and a residential pipeline that will redefine urban life.

Wevehoned 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

Itsan exciting time at Landsec for our Data have a lot to achievein order toenable the business to achieve its over-arching strategy and objectives using data as a foundation for the decisions our leaders that our team has people with the right skillsexperienceand 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 incomelogisticsand operational costs market research profit margins financeoperationsand brand partner sales.

The successful data analyst willpossessan interdisciplinary set of skills across data modelling data management datavisualisationand data science/statistical analysis. You will havestronghands onskills 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 skillsrequiredto understand business requirements and translate and present data insights to technical and non-technical will build consensus around a common purpose actively listenpersuadeand network with key will be curious with an impulse to seeknew information explore how Landsec works and discover new ways to drive Landsecs business strategy with data and analytics.

Salary:
Up to 50000 per annum

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 analysisrefiningand 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 canparticipatein 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 accordancetothe 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 analyticsexpertiseand 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 andvalidatework around a minimumviableproduct (MVP) for any new Analytics product/ feature.

• Identifyanalyseand interpret trends or patterns in complex data sets and recognise whereadditionaldata isrequiredto 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 product ionise 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…