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This is a 13 month internship beginning in August 2022.
Our Property team at Sainsbury’s are vital to ensuring that our future stores will thrive and our property portfolio will have a healthy return on our investments. We offer a 13-month internship (starting in August 2022) working in the Spatial Analytics team within our Property, Programme and Technical Innovation team to support our location planning and strategy team.
In Spatial Analytics we make the tools and curate data to support geospatial analytics across Sainsbury’s. We lead the way with how we use catchment areas to understand consumer behaviour for Sainsbury’s and Argos, create mapping services and apps for our data, and act as consultants for questions from around business related to location.
We believe in strong foundations such as where our assets are and how many people live around them, but also like to extend ourselves through research into spatial interaction and agent-based models, big data visualisation, clustering and geotemporal analytics.
The Role
Throughout the placement you’ll get exposure to system development, spatial data analysis and have the opportunity to present back on projects you have been working on. You’ll be assisting the Spatial Data team with building, developing and maintaining data, tools and systems which support our location planning processes, support the use of our online mapping portal, create maps and aid the team with the provision of current and curated spatial data for use across location planning tools.
We pride ourselves on our development and you’ll have plenty of opportunities to learn and develop your own skills across the placement, with training provided in the key systems used.
If you’re currently studying towards a degree in Geography, Maths, Geographical information systems or Economics and are looking to understand how your studies can support the future of retail then this could be the internship for you. You’ll need to demonstrate a high level of self-motivation as well as real desire to learn and develop as this is a varied role where every day could present a new fantastic challenge.
What I need to do
- Act as the primary support to the Spatial Data Science Engineer ensuring appropriate maintenance, support and updates of the tools, systems, models and related data.
- Discover and understand areas of the business within Property where analytical development is required and gather the requirements to drive for continuous improvement in efficiency.
- Data visualisation – understand our property data and utilise data visualisation tools and platforms to share key information across the division.
- Keep a live catalogue of tools, systems, and data across the platform.
- Respond to any live technical issues and requests for data from teams and colleagues across Sainsbury’s
- Work and engage with multiple teams including Sainsbury’s Tech
- Apply your communication and information technology skills within the team and bring something new to the table.
What decisions I can make
- Responsible for own day to day workload
- Provide advice to teams based on own decision
- Analytical decisions – tools, data, and techniques to use for each problem.
- Prioritise ad hoc requests from the wider division and store support centre.
Ideal Candidate Skillset
- Knowledge of spatial data and processes around handling spatial data (Experience using GIS).
- Understand logical processes, mathematical mind-set
- Knowledge on data visualisation methods, programs, or languages, such as Tableau or Power Bi
- You need to be a natural problem solver with a keen drive to help.
- Ability to document quickly, efficiently, and creatively.
- Ability to work on varied projects, tasks and still meet deadlines.
- Self-starter with high degree of self-motivation and initiative.
- Good time management
- A curious mindset and willingness to learn
- Coding skills (SQL, visual basic) desirable
What I need to show
- Own it: Hold yourself to account by following through on what you said you would do, understand, and apply business priorities, speak up, challenge others in the room and stand by your own ideas.
- Make it Better: Identify opportunities to simplify our processes and your work, seek and give honest feedback, tell a good story to bring your ideas to life, learn from your mistakes.
- Be Human: communicate effectively and encourage others to speak up. Be honest about what you do not know and ask for help when needed. Learn at every opportunity. Build relationships within team and your wider network, be consistent in the way you show up to the team
Resources available to me
- Internal Property teams
- Property Finance
- Group Analytics Division
What we will offer in return
- A competitive salary
- A discount of 10% off your shopping across our multiple brands
- An annual bonus
- Pension and Life Insurance
- An opportunity to learn new skills and gain experiences which will support your future prospects
- You will receive high end personal development plan that will introduce and expand your knowledge of Alteryx, Tableau, SQL and Snowflake as well as understanding of spatial data within a retail setting.
Here at Sainsbury’s, we’re a proud equal opportunities employer that values diversity at every level of our business. Inclusion and Diversity are fundamental to our culture and values, fostering an innovative, collaborative, and fast paced work environment that means we can build a better future for our colleagues and our customers.
