12 Oct
Nest Commerce
London
Kentish Town - Hybrid, 3 days on-site
Permanent role
If you’re not afraid to have an opinion, if you want to work with ambitious brands, if you have ideas beyond your job description, we want to hear from you.
Please apply if you have a data science background within paid media channels.
Offering bold full-funnel performance, brand and creative. Nest is a fast-growing marketing agency set up by former Google and Facebook executives and we’re 100% focused on helping cutting edge and ambitious retail and e-commerce brands grow.
We now have a huge opportunity to define and develop Nest Commerce’s data capabilities in support of our vision to become the world’s leading marketing agency focused on the online retail vertical.
The Head of Data is a newly created role that will deliver competitive edge for our clients by enhancing our proprietary data; development of data-related services to solve our clients’ biggest challenges; and fostering a culture of data expertise across the entire agency.
The Role
- Foster a culture of data centricity across Nest Commerce, working closely with colleagues in the senior management team to ensure that robust insight sits at the heart of the work we do for our clients every day.
- Develop and refine Nest’s approach to measurement of marketing effectiveness for our clients, making use of techniques such as attribution, MMM and lift testing as appropriate.
- Construct, develop and test strategies across performance marketing platforms that align with company-wide and client specific objectives.
- Continuously extract and explore interesting outlier insights (primarily from Nest’s proprietary data) to inform development of products,
services and marketable materials which can help to deliver edge for our clients and our business.
- Ensure our approach to and implementation of proprietary products is backed with appropriate statistical and mathematical rigour.
- Develop, maintain and improve Nest’s data infrastructure, ensuring that it evolves in line with industry best practices and remains fit for purpose.
Responsibilities:
- The ideal candidate will have recent experience in a senior data role in the performance marketing industry (agency, in-house, tech or media platform)
- Extensive experience in performance marketing, with a strong focus on Paid Social (e.g. Meta, TikTok, Pinterest) and Search (Google, Bing) advertising platforms and strategies.
- Bachelor's degree (2:1 or above) in Statistics, Mathematics, Economics,
or related field (Marketing, Business Analytics).
- Demonstrated ability to analyse and interpret complex data sets related to ad performance and audience behaviour
- Strong understanding of statistical concepts, including regression analysis, trend forecasting, and data weighting techniques
- Familiarity with key marketing measurement concepts, including incrementality, marketing mix modelling, regression analysis and attribution; as well as measures of ad performance and fatigue including CTR, CVR, reach, frequency and ROAS
- Ability to critically evaluate and suggest improvements to predictive models for ad performance
- Experience in translating marketing insights into actionable strategies to optimise ad campaigns
- Proficiency in data visualisation techniques and the ability to communicate complex
- Experience in developing or refining marketing KPIs and performance metrics, particularly in the context of search and social media advertising
Working Here:
- £50 employee wellness allowance.
- 12 weeks sabbatical with 6 weeks paid leave for any employee who has worked at Nest for 4 years.
- Cyclescheme, Techscheme and Charlie Perks to save on bikes, tech, and 80+ retailers.
- Free team lunches, monthly social events, and quarterly parties
- Generous allowance to improve your work from home set-up plus 10 days fully remote working.
To Apply:
- To apply for this outstanding opportunity, please contact Nusrat on [email protected]
- Please note we are not able to offer sponsorship for this role.
▶️ Head of Paid Media Science
🖊️ Nest Commerce
📍 London