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Open nowPosted 19 hours ago

Lead Analyst

New Look137 open roles

Where
London, UK
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Your applicationOpen nowLead AnalystNew Look · London, UK
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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. New Look postings stay open a median of 20 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 19 hours ago

New Look median: 20 days open

The posting

The Role: Here at New Look everything that we do is for the love of fashion. We’ve been bringing the latest fashion to the high-street since 1969. We’re now a global, multichannel brand offering on-trend, value-fashion for women, men and teenage girls. Even after 50 years we’ve stayed true to our original mission of delivering fabulous products at a price our customers can afford.

Marketing effectiveness is central to how we drive sustainable, profitable growth at New Look. Paid Media represents significant spend, and alongside CRM we have a wealth of customer data, the opportunity to better measure, target and optimise how we use both is a key focus.

As Lead Marketing Analyst within Customer, you’ll be our senior hands-on analyst for marketing performance. You’ll turn data from Paid Media, CRM and our website into clear answers on what’s working and what to do next, and help raise the standard of analysis and data governance across the wider team.

You’ll work closely with Marketing, CRM, Paid Media, Customer Analytics, Digital Analytics, Data Science and Data Engineering, and you’ll be the person stakeholders turn to first when they need to understand how marketing is performing.

WHATS IN IT FOR YOU:

40% staff discount plus friends & family discounts throughout the year Access to our reward platform for external discount and offers Private pension scheme Virtual GP access for you and your children – it allows you to speak to a doctor at a time and date that suits you All employees are covered by our life assurance policy from day one Unlock extra leave with our buy more holiday scheme. Celebrate YOU! Enjoy an extra paid day off on your birthday each year Enhanced maternity, paternity and adoption leave, and shared parental leave (eligible after 2 years’ service). Spread the cost of your commute with interest-free season ticket loans Do your bit for the environment and save money with our Cycle2Work scheme We're proud to partner with the Retail Trust and Fashion & Textile Children's Trust

What you’ll be doing:

Insight & recommendations: Lead analysis of Paid Media, CRM and onsite performance, going beyond what happened to why it happened and what we should do next, and present clear recommendations to stakeholders across Marketing and Customer. Segmentation & targeting: Use customer segmentation analysis to support smarter audience selection, suppression and targeting, working with Customer Analytics and Data Science. Testing & incrementality: Design, run and read out controlled tests and incrementality experiments, making sure the results are statistically sound and explained in plain English. Channel contribution: Help build a clearer understanding of how Paid Media and CRM channels contribute to acquiring new customers and retaining existing ones, supporting the marketing mix modelling workstreams alongside Data Science. Data to insight: Own the journey from data to insight, building and maintaining self-serve reporting in Power BI and Databricks, and working with the Digital Analytics team to support data and automation, so stakeholders have timely, trusted visibility of campaign and customer performance. Standards & governance: Help shape consistent ways of working across analysis, QA, documentation and stakeholder communication, and champion data governance so we are not just consuming data but making sure it is right.

Who you are:

Proven experience (typically 4+ years) in marketing, customer or digital analytics, ideally within retail or another consumer-facing environment, with a track record of turning data into commercial action. Strong SQL skills and confidence working with large datasets. Python or R for analysis and automation is a plus. A solid grounding in statistics and test design (for example regression, significance and incrementality), and the ability to explain it simply to non-technical colleagues. Experience building clear, self-serve dashboards in Power BI or a similar tool, ideally with some exposure to cloud data platforms such as Databricks (or similar, e.g. Snowflake, BigQuery). A working understanding of how marketing performance is measured, whether you come from a CRM, Paid Media or wider digital background, including channel performance and attribution. You don’t need experience across all of it. A confident, clear communicator who can turn technical analysis into recommendations that influence decisions. An interest in retail, fashion and customers, with a genuine motivation to use data to drive more effective, commercially impactful marketing.

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