Insight Lead (Analytics)

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Summary

This is an incredibly exciting and dynamic time for the National Trust, already one of the UK’s most iconic brands. The impact of your work will resonate throughout the Trust, moving us ever closer to our vision of becoming a truly supporter-centric and insight-led organisation.

You'll be a part of a newly combined Audience Insight team, encompassing analytics, continuous surveys and ad hoc audience research - all highly talented experts in their fields. Audience Insight’s role is to bring the Trust’s audiences to life: to understand the people who might visit, volunteer, donate, join and support our cause, and when and how we should talk to them. Our vision is to help the organisation take our audiences on a journey from unaware to engaged with our cause - through deep understanding of where attitudes and values meet behaviour.

What it's like to work here

Heelis is the Central Office for the National Trust; it was named after one of the Trust’s biggest benefactors Mrs William Heelis, There are approximately 500 staff from across the Trust’s directorates, including the Executive team and the Director General, are based here. Heelis was designed to be highly sustainable and has won a number of nationally recognised awards. Designed by Feilden Clegg Bradley Architects in 2005, this architectural gem uses timber from our woodlands and wool from Herdwick sheep grazed on Trust farmlands, to help make Heelis a unique working environment. We provide the best possible working environment for you throughout the building whilst also promoting and fostering a sociable Heelis Community. Do great things for us and we’ll do great things for you and your career.

What you'll be doing

At the National Trust, we’ve reached an exciting and innovative chapter in our history. We firmly believe in our cause - to look after special places for ever, for everyone. Our work in protecting our built heritage, environment, countryside and coastline is vital. And we can only do this by continuing to inspire the nation with a passion for the places they love.

Our numbers are impressive; we have over 4.6 million members, with 17 million visitors to our properties last year, with a further 50 million enjoying the free, open spaces in our care. Each year we have around 35% of visitors who spend money in our shops and about 75% of visitors who eat in our cafes and restaurants. Imagine how powerful it would be to understand deeply the behaviours and motivations of these millions of people, so we can offer truly bespoke experiences. We want to offer them even more reason to love what we do, so they can support us (both financially and with their time) so we can continue our vital work. Now, we have the infrastructure and capability to do this.

We’ve been busy consolidating all of our data into a single data warehouse. We’ve invested millions into new technology and systems that allow us to collect, access and view this data. And now is the time for us to become truly an insight-led organisation which can offer personalised experiences for and build meaningful relationships with every one of our supporters. Help us to take our investment in our membership database to realise our ambitions for supporter loyalty.

We have a large group of stakeholders who are hungry for the insight we as a team can provide - and we’d love to provide that in a creative, interesting and highly visual way. You'll be leading a team of talented analysts and data scientists to discover how and why our supporters behave the way they do.

The insight lead - analytics will report to the Head of Insight, and will lead a team of data scientists and analysts within a broader insight function that includes ad hoc research and multiple continuous surveys.

Who we're looking for

- In order to excel in this role, you'll need to have:

- A master at Tableau, bringing audiences to life in creative and interesting visualisations

- Use data to tell stories about people

- Excellent working knowledge of a variety of data mining algorithms including classification (e.g. decision trees, logistic regression), clustering (e.g. k-Means, PCA) and regression analysis.

- Excellent knowledge of at least one statistical analysis and data modelling tool e.g. R, SAS, SPSS, the Python data science stack, etc.

- Equally comfortable in SQL and Alteryx

- Has used social media listening tools and big data analytics to understand general population consumer trends

- Has worked with both a general population segmentation and segmentations within owned databases (desired)

And it would be particularly useful if you could demonstrate the following experience on your CV:

- Leading data insights in a single supporter view environment, ideally one with a large membership base

- Degree in a numerate discipline such as Social Sciences, Maths, Statistics, Computer Science, Physics, Engineering or similar.

- Experience of running an analytic unit

- Proven experience of understanding customers behaviours affecting loyalty, and communicating that to a business audience

- Experience at a retailer or membership organisation known for use of sophisticated analytics

Responsibility:

- Will have responsibility for the quality of data-driven insights across their section of the organisation, producing reports, propensity models, delivering targeting and various algorithms which help your business clients achieve their objectives

- Will have responsibility for a team of data scientists and analysts

To apply please click the APPLY button.

Deadline: 17th July 2016