At a Glance
- Tasks: Analyse data to drive business strategies and create impactful insights.
- Company: Join Landsec, a leading real estate company shaping urban life.
- Benefits: Enjoy competitive salary, generous leave, private medical insurance, and more.
- Other info: Hybrid working model with opportunities for professional growth and volunteering.
- Why this job: Be part of a dynamic team using data to redefine urban spaces.
- Qualifications: Experience in data analysis, SQL, and strong communication skills required.
The predicted salary is between 50000 - 50000 £ per year.
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.
This role is based at Victoria, London and offers hybrid working (3 days in the office).
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.
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
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)
Life and Benefits at Landsec
- Performance based annual bonus plan
- 25 days annual leave (plus bank holidays) rising to 27 days after 2 years and the option to purchase up to 10 additional days each year.
- Enjoy an additional three-day December festive break on top of your leave and a special 'My Day' to take off for whatever you choose.
- Enhanced pension contributions - Landsec will contribute up to 10.5% subject to your contribution.
- Private medical insurance, Health Cash Plan, Life assurance and income protection.
- Enhanced maternity, adoption, shared parental leave policies.
- Two different share plans enabling you to share in the success you will help to build
- Up to 4 working days to volunteer per year and 'Give As You Earn' programmes allowing you to donate to charities straight out of your pay and we top up by 20%
- Access to other benefits: employee assistance programme, digital GP, cycle to work scheme, a mindfulness app and a health app supporting fertility and menopause
Diversity and Inclusion
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.
Data Analyst employer: Land Securities Group PLC
Landsec is an exceptional employer, offering a collaborative and supportive work culture that prioritises continuous improvement and employee growth. With a competitive benefits package, including generous annual leave, enhanced pension contributions, and opportunities for professional development, employees are empowered to thrive both personally and professionally in the vibrant setting of Victoria, London. The company's commitment to diversity and inclusion further enhances its appeal, making it a rewarding place to build a meaningful career.
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We think this is how you could land Data Analyst
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We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Land Securities Group PLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Land Securities Group PLC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Land Securities Group PLC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
