Senior Data Analyst

Details of the offer

We are Landsec, we build and invest in buildings, spaces and partnerships to create sustainable places, connect communities and realise potential. We are one of the largest real estate companies in Europe, with a portfolio of retail, leisure, workspace and residential hubs. Landsec is shaping a better future by leading our industry on environmental and social sustainability while delivering value for our shareholders, great experiences for our guests and positive change for our communities. The Role: We are looking for Senior Data Analysts to work with senior 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 and brand partner sales. There is a particular focus in building data and analytics capabilities in our Consumer and Customer Insight platform, and our Smart Building platform. The successful senior data analyst will possess an interdisciplinary set of skills across data modelling, data management, data visualisation and mathematical and statistical analysis. You will have the communication skills required to understand business requirements and translate and present data insights to senior stakeholders. You will be able to work with other data professionals, both within Landsec and with our strategic partners, to review outputs to ensure quality, improve modelling and integration patterns and standards, and assure best practice. Salary: Up to £60,000 per annumThe Team: It's an exciting time at Landsec for our Data and Technology 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. What you will be responsible for: Building and Embedding Data and Analytics Products in a Commercial Environment Building data and analytics products, effectively engage sceptical colleagues. Advise on choice and application, and critique colleagues' findings to assure best practice.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).Build and review complex data models, ensuring adherence to standards, and is interoperable with other data sets, enabling reuse.Design appropriate metrics to measure impact, success and adoption, to resolve problems and implement preventative measures.Working in Matrix Organisations and Influencing Stakeholders Work with senior 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 manage their data and adopt data and analytics products.Problem Solving and Project Management in a VUCA Environment Lead analysis, prototype and validation work around a minimum viable product (MVP) for any new Analytics product/ feature.Lead the delivery of data projects/programmes using Scrum process and Agile methodology to be able to balance short-term vs long-term value, and plan and communicate accordingly.Identify, analyse and interpret trends or patterns in complex data sets, and recognise where additional data is required to solve a problem.Work in sprint/release planning sessions to plan sprints/ releases that deliver maximum business value with the least effort.Manage delivery of data projects identifying key milestones and managing stakeholders to ensure completion to agreed standard within approved timeframes.Your skills, experience and qualifications: Proven experience as a Data Analyst (e.g., database management, data mining, analysis, reporting).Proven hands-on experience in data analysis using a programming language (e.g., Python, R).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.Life and Benefits at LandsecWe have a great benefits package, there to support you with your work-life balance and in moments that matter. We offer exceptional Learning & Development opportunities to help you grow and reach your potential.
25 days annual leave (plus bank holidays) rising to 27 days after 2 years and options to purchase an additional holiday each year.
Enhanced pension contributions – Landsec will contribute up to 10.5% subject to your contribution.
Private medical insurance, Life assurance and income protection.
Enhanced maternity, adoption, shared parental leave policies.
Annual Sharesave plans with the chance to buy Landsec shares at a discounted rates.
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 various health and wellbeing benefits including our employee assistance programme, digital GP, cycle to work scheme, a mindfulness app and a health app supporting fertility and menopause.
We are a Disability Confident Employer and will offer an interview to disabled applicants who best meet the criteria set out here.
Diversity and InclusionAt 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 ******.

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