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Renowned App Company
£60,000 - £70,000
This is a very unique opportunity to join one of the UK's most successful App companies! You will be working with customer centric data helping the business to understand the full end to end customer journey. This opportunity is ideal for a candidate who has a strong technical understanding of analytical data and enjoys presenting insight and strategic recommendations.
· You will build an understanding of all aspects of customer relations data through R and python (loyalty, behaviour, acquisition and retention)
· You will be building models in R and then using this data to provide actionable insight
· Liaising with clients and advising them on the most efficient way to use the data provided
· You will work closely with stakeholders to deliver data driven recommendations and defining key client objectives
· Have a strong analytical and technical background (R/Python)
· You must have experience creating statistical models (logistic, regression, clustering, propensity, predictive, CHURN analysis)
· Must be able to interpret data and deliver insight to clients
· You should have a degree in a relevant field
· You should have strong communication skills
· You must have experience working with customer level data
£60,000 - £70,000 + Benefits
HOW TO APPLY:
Please click on the 'Apply' link on this page to submit your CV.
€60000 - €70000 per annum
München (80335), Bayern
My client is a well- known ecommerce company that is looking for a valuable addition to their Business Intelligence Team!
£50000 - £55000 per annum
Make a move into this unique digital marketplace and have complete ownership of all national retail channels.
£50000 - £55000 per annum
Looking to move out of the agency space? This is just the role for you!
£55000 - £65000 per annum
Work with this well known FMCG brand and take the lead on this new project offering untapped potential into the power of insight-driven decisions!
£100000 - £120000 per annum
This multinational tech company is looking for a thought leader to shape data strategy for its analytics center of excellence.
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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Applying to anything from digital out-of-home to mobile, social media to TV, Programmatic tech continues to develop at a furious pace. And as it gets more sophisticated so, too, does its power to fuel growth across multiple industries. So it goes without saying that Programmatic is set to remain a valuable part of the Ad Tech toolkit. As it evolves, brands can measure and enhance their creative campaigns with ever-greater accuracy to improve conversion rates and engagement. Here are some of the latest ways automated ads have been helping brands increase their influence over customers. SHORTENING THE RETAIL SALES FUNNEL The former might of traditional brand and advertising agency models is fading. Instead, we’re seeing the old sales funnel being redefined into a more direct buying journey. Omnichannel shopping is now the norm, and screens with their accompanying ads wield plenty of power in influencing how we shop. Thanks to growing numbers of mobile purchases coupled with Programmatic technology, brands use Data to improve the customer experience, reduce acquisition costs and push more products into online shopping baskets. And as more retailers prioritise selling stuff online, they gain more control over customer data. Which in turn feeds their automated ads and speeds up the buying journey further. BOOSTING BRANDED CONTENT REACH No worldwide media corporation would last long without using technology to make the best use of its resources. So it makes sense that the BBC uses Programmatic ads to create greater access to its branded content. Using data, the BBC can see what particular audience segments are into, from trending topics to the devices they’re choosing to devour news and entertainment. From there, the broadcaster twins its own data with wider industry stats to form insights that help to shape its content strategy. Automated media buying also reduces the labour that traditionally accompanied ad campaigns. The key advantage being that it frees up staff to concentrate on more creative tasks, according to Luke Fox, the BBC’s Head of Programmatic for the Asia Pacific. As a direct result of the automated ads, the BBC’s media placement has become more focused and effective, with branded content “getting to the right people at the right time.” An advertiser’s dream come true, essentially. It is minimal effort, too. Using Programmatic tech gives organisations better access to consumers all over the world, across a wide array of media such as podcasts. CUSTOMISED MESSAGING We all know that personalisation is a tried-and-tested marketing strategy. So it’s no surprise that programmatic ads adapt to whoever they’re targeting. Ads adapt to multiple audience variants, from age, gender, income and location right down to the device we’re using. Through constant feedback, marketers can adjust their campaigns in real time, changing their message according to where customers are, what they’re doing and how they’re responding to the ad. In theory, as more brands move their media-buying in-house, the Programmatic process becomes easier to control and adapt. Zendesk’s director of digital Aurélien Dubot certainly thinks so. After the company moved its advertising in-house, Dubot says the decision has enabled them to make instant tweaks: “We don’t wait a week or three days to adjust things, we adjust it straight away.” Whether brands choose in-house or an agency for their media buying, one thing’s for certain: programmatic is a complex system that continues to bear fruit, provided brands set clear goals for what they’re trying to achieve. Ultimately, the results will only be as good as the data, along with the marketing team’s ability to analyse it. The Programmatic industry is growing. If you’re interested in Data & Analytics, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.
23. May 2019
The 2019 Harnham Salary Guides are nearly here. Last night saw a hundred of Data & Analytics' top professionals gather to get their hands on an advanced copy and hear from some of the best in the industry. With talks from Tom Spencer (Aviva), Mark Ainsworth (Schroders), and Anna Decoudu (118 118 Money), attendees were treated to insights into some of the world's best Data teams. A huge thank you to everyone who came along, we hope you found the evening as enlightening as we did. Our UK, US and European Salary Guides will all launch online mid-June. To be one of the first to get your hands on a copy, sign up to our mailing list here.
16. May 2019