Senior Manager, Marketing Science

Journey Further; Leeds; Hybrid; GBP 55,000 - 65,000; Full time

Benefits offered by this job

Pension

Private medical insurance

Enhanced parental leave

Flexible work arrangement

Job summary

Journey Further in Leeds is seeking a Senior Manager, Marketing Science to lead measurement for client campaigns and translate complex models into clear, actionable guidance.

You will design and run MMM, MTA and experiments, build forecasting scenarios, and present insights to senior marketers, while mentoring a small analytics team.

Qualifications

• Significant experience in marketing analytics, media effectiveness or analytics consulting.
• Hands-on experience with MMM, MTA, forecasting and propensity models.
• Designed and analyzed experiments; comfortable with causal inference methods.
• Strong SQL, plus R or Python; able to work with data directly.
• You can explain complex stats to non-experts and present insights to leadership.
• Experience line-managing analysts and growing talent.

Responsibilities

• Lead measurement strategy for clients, tailored to business goals.
• Design and run incrementality tests and lift studies.
• Interpret MMM, MTA and experiment outputs and turn into actions.
• Integrate platform data, experiments and MMM into a single framework.
• Build forecasts and what-if scenarios to guide budget allocation.
• Separate impact of media, creative, targeting from price and seasonality.
• Query media data with SQL, R or Python and tell the data story.
• Present complex analysis clearly to marketing leaders.
• Collaborate with paid, search and social teams on tests.

Skills

Marketing analytics

Media effectiveness

Analytics consulting

Experiment design

Causal inference

Team leadership

Tools

SQL

R

Python

BigQuery

Meridian

Robyn

Job description

As Senior Manager, Marketing Science, you’ll lead measurement for Journey Further’s clients and help them make smarter calls on where their money goes. You’ll be the expert they turn to on what’s working, taking complex models and experiments like MMM, incrementality testing and attribution, and turning them into clear recommendations they can act on.

It’s a role for someone who won’t settle for “the dashboard says so”. You’ll question assumptions, prove what’s driving growth, and help clients get more from every pound they spend on media.

What you will do

• You’ll be the person they call when they want to know what’s really working, and you’ll shape a measurement strategy built around their business, not a template.
• Design and run incrementality tests, from geo tests to holdouts and lift studies, that separate the activity creating new demand from the activity taking credit for sales that would have happened anyway.
• Interpret MMM, MTA and experiment outputs, question the assumptions behind them and turn them into calls clients can act on.
• Bring platform data, experiments and MMM together into one measurement framework, so clients can see exactly how media links to revenue and profit.
• Build forecasts, run “what if” scenarios and tell clients where to move budget next to grow faster.
• Use statistical and causal inference methods to separate the impact of media, creative and targeting from pricing, distribution, competition and seasonality.
• Dig into media data with SQL, R or Python and find the story the numbers are telling.
• Turn complex analysis into clear, confident presentations that change what marketing leaders do, and hold your ground in the room.
• Work side by side with our paid, search and social teams to plan tests, read results and change how budget gets spent.
• Help shape our proprietary measurement tools and IP, and keep us ahead as measurement keeps changing.
• Line manage a small team of analysts, set priorities, give honest feedback and coach them to present insight with confidence.

• Significant experience in marketing analytics, media effectiveness or analytics consulting, ideally agency-side.
• Deep, hands on experience with MMM, MTA, forecasting and propensity models. You know the assumptions behind them, and you know when to push back on what they’re telling you.
• You’ve designed and analysed experiments yourself, and you’re comfortable with causal inference methods like difference-in-differences or synthetic control.
• Strong SQL, plus R or Python. You’d rather get into the data yourself than wait for someone else to pull it.
• You can explain complex stats to people who don’t speak stats, in a way that changes what they do next.
• You’re confident in front of senior marketing leaders, and you’ll hold your ground when the data says something they don’t want to hear.
• You’ve line managed analysts and enjoy helping people grow.
• You think commercially. You can connect media performance to revenue, margin and the wider business.
• Experience building measurement tools, products or IP.
• Familiarity with open source MMM frameworks like Meridian or Robyn.
• Experience with cloud data warehouses like BigQuery.
• Experience juggling multiple clients across different sectors.

Pension - Matched up to 4%

Health - Private medical insurance

Family - Enhanced maternity, paternity & adoption pay

Flexibility - 25 days annual leave, Christmas shutdown and home working allowance

Salary

Leeds - £55,000 - £60,000

Manchester - £57,000 - £62,000

London - £60,000 - £65,000