Senior Marketing Data Analyst - Marketing Science

London, UK (Hybrid)

£60K/yr – £85K/yrSenior Level2+ years expFull time

Posted 3 months ago

Job Summary

Own the measurement backbone: maintain attribution logic, ensure data integrity, and work with DS, acquisition, and marketing to evolve the model for changing channel mix.

  • Attribution & data pipelines: refine rules using dbt to keep insights current.
  • Self-serve dashboards: empower marketing with daily performance metrics.
  • Narrative and improvements: translate modelling results into actionable guidance and close certainty gaps.

Job Description

Responsibilities

  • Maintain and enhance attribution model logic. Use dbt to maintain data pipelines, refine attribution rules, and implement new logic as our channel mix and marketing effectiveness understanding evolves.
  • Ensure the accuracy of marketing data integrity in our attribution model.
  • Work with the Data Science, Acquisition and marketing teams to evolve our model.
  • Build dashboards that allow marketing stakeholders to self-serve daily performance metrics.
  • Translate complex datasets and modelling results into clear, non-technical narratives for marketing stakeholders.
  • Execute detailed, in-depth analyses to identify improvement opportunity areas in our current measurement capabilities and propose solutions.
  • You will help us improve our measurement confidence level by identifying certainty gaps and proposing ways to bridge those gaps.
  • You will contribute defining impactful OKRs to work throughout the half of the year.

Requirements

  • Bachelor’s degree in Statistics, Economics, or other relevant fields.
  • 2+ years of experience in a marketing analytics or data analytics role.
  • Advanced SQL skills, Python/R and dbt are advantageous.
  • You are able to demonstrate that you can tell a story with data and proactively give guidance on strategy based on insights.
  • Experience working with attribution models/MMP data is advantageous.
  • Experience with data visualisation tools (example, Looker, Power BI, LightDash).
  • Understanding of performance marketing is advantageous.
  • Applicants must have the right to work in the UK.

Preferred

  • Advanced SQL skills, Python/R and dbt are advantageous.
  • Experience working with attribution models/MMP data is advantageous.
  • Experience with data visualisation tools (example, Looker, Power BI, LightDash) is advantageous.
  • Understanding of performance marketing is advantageous.

Benefits

  • 💰Base salary of £60,000 - £85,000
  • 🚀RSU's in a growing and public company
  • 🌎 Work from (almost) anywhere in the world for up to 90 days a year
  • 🏠 Flexible working - you’re trusted to do the right thing and be responsible
  • 🏥 Private Medical Insurance + Life Insurance
  • 🏋️ Discounted gym memberships and cycle to work scheme
  • 🏝️ A paid 6-week sabbatical leave after four years
  • 👶 26 weeks maternity leave at full pay
  • 💪 An annual self-development budget
  • 🚀 Annual Mission Days festival
  • 🐶 Pet friendly offices
  • 🏃‍♀️ Lots of fun group activities like yoga, running and boardgame nights
  • Find out more about our benefits in our London office.

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

Salaries

Posted range

£60K/yr – £85K/yr

Taken straight from the job posting.

See all Wise salaries

Funding

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

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Traffic Source Mix
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50%
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Referral
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Paid
0.2%

Headcount Trend

Current headcount: ~9.2K

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