Growth Strategy and Operations Analyst

Responsibilities

• Analysis and direction
• Use cohort and funnel data to work out how to maximise post-acquisition customer value
• Turn that analysis into specific recommendations for colleagues about who to contact, and why
• Use AI tools and automation where they help you reach an answer faster, particularly for exploratory analysis
• Maintain the framework the team uses to measure growth, and work out what the underlying dashboards need to show
• Forecasting and sizing
• Build and maintain the forecast for the growth function
• Size new growth ideas before they are pursued, so effort goes toward the highest impact ones
• Write the business case for larger initiatives
• Experiment design

Requirements

• 2-4 years in a role such as revenue operations, management consulting, strategy, or growth / product analytics - ideally somewhere that was growing quickly
• A strong analytical toolkit: highly capable with spreadsheet modelling; and experience working with AI for deep analysis, and BI tools such as QuickSight, Looker or Tableau
• A first-principles approach to problems: the ability to take an ambiguous situation apart, question the assumptions built into it, and arrive at a model, a number and a recommendation
• A working understanding of experiment design: holdouts, sample size, and how to judge whether a result reflects a real effect
• Clear communication: the ability to explain your thinking in writing and in person, and to make a case to someone senior, calmly, when the evidence supports it.
• A tendency to see things through: you take an idea, do the work to move it forward, and follow up without needing to be chased

Preferred

• Some exposure to pensions, financial services, payroll or workplace benefits, or another regulated industry with both business and consumer customers
• Experience with dbt or a similar data warehouse, and with tools used for running experiments, such as Statsig
• Familiarity with CRM or lifecycle marketing platforms, and how marketing attribution works.
• Exposure to a business where teams are measured against commercial targets.
• This role suits someone who takes a considered, evidence-led approach to a commercial problem.
• You back up a recommendation with a model and a number
• You can take a vague, messy problem, work out what is actually being asked, and get to a clear answer
• You know how to set up an experiment properly, and can tell when a result is worth trusting
• You are comfortable coordinating work that spans several teams at once
• You care whether your analysis actually changes what the team does next

Benefits

• A competitive salary; we proactively review salaries to make sure you get what you deserve
• Meaningful share options, you’ll own a part of Penfold and share in our success
• 10% pension contribution each month that you don’t need to match (on top of your salary)
• Medical insurance, through Vitality
• Unlimited holiday, we’re interested in your output, not how many holidays you go on!
• Hybrid working, we like people to come in to our office (so it would be great if you lived in the London area) at least a couple of days a week to collaborate, but we trust you to get your work done in whatever environment suits you
• Great community office space, plenty of people come into our wonderful private office near Borough Underground station.
• Free tea, coffee, soft drinks and snacks
• Free company lunch every week (e.g., Borough Market, Mercato Metropolitano)
• Laptop and any WFH equipment you need