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Harnham

Marketing Analytics Manager

London
£65k – £75k/yr
Posted about 21 hours ago
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Marketing Analytics Manager

London (Hybrid – 2x Days a Week in Office)
£65,000-£75,000

The Company

This is a leading UK consumer and retail business with a significant physical and digital presence and millions of customers. The business is investing heavily in its data and analytics capabilities, with increasing demand from senior stakeholders to use data to make better, faster commercial decisions. The wider analytics function brings together Marketing Analytics, Digital Analytics, Customer Analytics, Data Science, Data & AI, Pricing and Promotional Analytics, giving the team exposure to a broad range of commercial challenges. Loyalty is a key strategic priority for the business, with significant investment and senior-level backing behind its loyalty programme. The focus is on using data to better understand what drives customer loyalty and value, and to build stronger, longer-term relationships with customers.

The Role

As the Marketing Analytics Manager, you will take ownership of the analytics strategy for the loyalty programme, working closely with Marketing, Ecommerce, Product, Customer and Data Science teams to understand what drives customer behaviour and translate this into clear commercial action. This is an individual contributor role with significant ownership and influence. You will be the key analytics partner for loyalty, helping the business understand programme performance, improve targeting and personalisation, and make better decisions around promotions, communications and customer strategy.

You will:

  • Define and own the analytics strategy for the loyalty programme, developing a deep understanding of how it drives omnichannel behaviour, frequency, retention and customer lifetime value
  • Build insight around different customer and loyalty segments, identifying behavioural groups and opportunities to drive greater value
  • Measure the impact and value of loyalty initiatives and targeted interventions, working closely with Marketing and Data Science
  • Support more intelligent, data-led targeting across promotional and discounting activity
  • Help move the business away from broad-based offers towards more relevant and value-accretive activity for loyalty members
  • Own and develop self-serve reporting and dashboards using Power BI, providing trusted and timely visibility of programme performance and customer behaviour
  • Design and evaluate tests across loyalty mechanics, communications and rewards to understand what drives engagement and retention
  • Lead the analytical approach to questions around what data is needed, how it should be used and what commercial value it can create
  • Act as the primary analytics partner for loyalty across Marketing, Ecommerce and Product
  • Influence key decisions around promotions, targeting and wider customer strategy
  • Set the standard for how loyalty insight is produced, communicated and acted upon
  • Support the development and sharing of best practice across the wider analytics team

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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This role is ideal for someone who enjoys combining hands-on analysis with strategic thinking, taking a commercial question and using data to influence what the business does next.

Your Skills & Experience

  • Solid experience in Marketing Analytics, Customer Analytics, CRM or Loyalty Analytics
  • Strong SQL skills and experience working with large datasets
  • Strong data visualisation experience, ideally with Power BI
  • Strong understanding of loyalty and CRM metrics, including frequency, retention, lifetime value and RFM
  • Experience with customer segmentation and understanding behavioural differences across a customer base
  • Experience with testing, measurement and ideally incrementality
  • Strong stakeholder management skills, with the confidence to influence challenging and demanding stakeholders
  • Ability to translate complex analytical findings into clear, commercially focused recommendations
  • Comfortable working across both digital and physical/store channels
  • Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial
  • Experience with Databricks, Snowflake, BigQuery or similar cloud data platforms would be advantageous
  • Python would be a plus

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The successful candidate will be a commercially minded Marketing Analytics professional who can operate strategically, but is still comfortable getting into the detail of the data and delivering analysis themselves.

The Benefits

£65,000-£75,000

How to Apply

If you're an experienced Marketing Analytics, CRM, Customer or Loyalty Analytics professional with strong SQL and stakeholder management skills, and you're looking for a role where your analysis can directly influence customer and commercial strategy, I'd be keen to hear from you! Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Skills

Marketing Analytics
Customer Analytics
CRM Analytics
Loyalty Analytics
Sql
Power Bi
Data Visualisation
Customer Segmentation
RFM Analysis
A/B Testing
Stakeholder Management
Commercial Strategy
Databricks
Snowflake
BigQuery
Python

Location

London, England, United Kingdom

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