Analytics Manager - CRM

London, UK (On-site)

£75K/yr – £115K/yrManager5+ years expFull time

Posted 3 weeks ago

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Job Summary

Own CRM analytics as the strategic partner to drive acquisition, engagement and retention with a global measurement framework and data quality at the core.

  • Own the CRM measurement framework and forecast outcomes to quantify incremental impact.
  • Partner with CRM tech and Product to tighten data requirements and data quality for reliable analysis.
  • Translate complex CRM insights into clear, leadership-ready recommendations and narratives.

Job Description

Responsibilities

  • Serve as the primary analytics and business partner to the CRM function, providing strategic recommendations to drive customer acquisition, engagement and retention.
  • Design, implement, and own the global measurement framework for all CRM activities, including performance tracking, outcome forecasting, and incremental impact assessment.
  • Collaborate with CRM technology and Product teams to define data requirements and improve data quality, ensuring robust and reliable data for analysis and decision-making.
  • Lead performance analysis and insight generation for CRM stakeholders, translating complex findings into clear narratives and present strategic updates to Marketing leadership.
  • Contribute to the development and improvement of our segmentation, statistical models and analytical methodologies.
  • Support the evaluation of propositions and campaigns using rigorous statistical practices.
  • Manage and mentor two CRM analysts, fostering their professional development and building advanced CRM analytics capabilities within the team.

Requirements

  • 5+ years of experience in marketing analytics within CRM/lifecycle marketing, including 2+ years in a lead capacity, with a proven ability to structure and solve ambiguous business problems.
  • Proven track record of influencing business strategy and driving measurable outcomes through data-driven insights.
  • Comprehensive technical skillset spanning insight generation, data modellng (dbt), reporting, and statistical testing methodologies (e.g., A/B testing, incrementality).
  • Extensive proficiency in advanced SQL for complex data manipulation in a data warehouse environment (e.g., Snowflake).
  • Experience with a programming language such as Python or R for data analysis.
  • Strong understanding of personalisation techniques and promotion frameworks.

Preferred

  • Professional experience in fintech, e-commerce, or a comparable high-growth technology industry.
  • Experience collaborating directly with Data Science teams on personalisation or predictive modeling initiatives.

Wise

3.9 Glassdoor

Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money.Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is listed on the London Stock Exchange under the ticker, WISE.16 million people and businesses use Wise globally, which processes £9 billion in cross-border transactions every month, saving customers around £1.5 billion a year.For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages.Login to access customer support: https://wise.com/login/FB: https://www.facebook.com/Wise/IG:https://www.instagram.com/wiseaccount/TW:https://twitter.com/home

Founded in 2011
London, England, GBR
9.2K employees (465 in marketing)
78% recommend to a friend
85% CEO approval

Traffic Signals

Monthly Visitors
47.5M
Monthly Google Ads Budget
$80.4K
Traffic Source Mix
Search
50%
Direct
47.8%
Referral
1.7%
Social
0.2%
Paid
0.2%

Headcount Trend

Current headcount: ~9.2K

Marketing Team

Marketing Team Size
318 (3% of company)
Median Career Experience
9.5 years
Median Tenure
3.3 years
Marketing Roles Posted (Last 30 Days)
7

Funding

Total Funding
$1.7B
Last Raise
Post IPO Debt, 3 years ago

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