Senior Marketing Data Analyst (Direct Acquisition)

Hybrid in London·Full-time·Added yesterday (last checked 30 Oct)

Vitality

20 open roles

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Our summary

Work mode: Hybrid, London
Contract: Permanent, full-time hours
Experience: Senior level
Pension: Pension matched up to 6%

Skills

Pay & benefits

What you'll get

Bonus Schemes - A bonus that regularly rewards you for your performance
A pension of up to 12%- We will match your contributions up to 6% of your salary
Our award-winning Vitality health insurance - With its own set of rewards and benefits
Life Assurance - Four times annual salary

These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities!

If you are successful in your application and join us at Vitality, this is our promise to you, we will:

Help you to be the healthiest you've ever been
Create an environment that embraces you as you are and enables you to be your best self
Give you flexibility on how, where and when you work
Help you advance your career by playing you to your strengths
Give you a voice to help our business grow and make Vitality a great place to be
Give you the space to try, fail and learn
Provide a healthy balance of challenge and support
Recognise and reward you with a competitive salary and amazing benefits
Be there for you when you need us
Provide opportunities for you to be a force for good in society

We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.

The role

We're looking for a Senior Marketing Data Analyst who loves turning data into smarter marketing decisions. Working across our Health and Life businesses, you'll dig into customer behaviour, media performance and digital journeys to understand what's working, what isn't and where the next opportunity lies. Your insight will help shape media strategy, audiences, creative, budget allocation and digital experiences, giving you real influence over how Vitality attracts and converts new customers.

What you'll do

Own the analytical interpretation of direct acquisition performance, connecting marketing investment and activity to leads, sales, customer quality and commercial value
Identify the underlying drivers of acquisition performance by combining media, audience, creative, CRM, digital journey, sales and external market data
Develop evidence-based recommendations on marketing budget allocation using econometrics, experimentation, historical performance and marginal-return analysis
Provide an independent analytical perspective on audience targeting, bidding, campaign structure, channel mix and activation strategies
Build a structured experimentation programme, defining hypotheses, test designs and success measures and translating results into clear next actions
Strengthen the use of first-party customer and sales data across marketing measurement, audience activation, conversion tracking and optimisation
Partner with Vitality's econometrics agency to challenge model assumptions, improve data inputs and translate findings into practical investment decisions
Coordinate reliable, automated and quality-controlled data feeds across media, customer and commercial data sources
Evaluate creative effectiveness to understand how messaging, proposition, format and execution influence acquisition and conversion outcomes
Apply statistical, predictive and causal analytical techniques to improve targeting, measurement and investment decisions

Team - Marketing & Digital Analytics

Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week.

We are happy to discuss flexible working!

Top 3 skills needed for this role:

Advanced marketing analytics
Strong commercial judgement
Proven stakeholder influence

What do you need to thrive?

Strong experience in marketing analytics, marketing science or performance marketing, ideally within a paid-media environment.
Strong SQL skills, with experience using Python or similar tools to analyse marketing and customer data.
Good understanding of paid-media measurement and performance across platforms such as Google Ads, Search Ads 360 and Meta.
Experience combining CRM, customer, digital and media data to understand campaign effectiveness and customer behaviour.
Good knowledge of marketing measurement and statistical techniques, including experimentation, regression and testing.
Strong commercial and communication skills, able to turn complex analysis into clear recommendations on marketing performance, investment and budget allocation.