Careers
When you only do one thing, the bar is set higher. We only do analytics, so we’re unfeasibly good at it.
We’re the partner our clients turn to when they have a problem and nobody else can help. Kind of like the A-team, only Dara’s campervan doesn’t have sliding doors.
Pure, unadulterated analytics
Measurelab’s like a support group for analytics addicts. A place to come and finally be yourself. Free to obsess over scopes, sampling and SQL. No judgement here. You’re finally among friends.
Sure, you can stay where you are and remain the smartest person in the room (or on the Zoom). But wouldn’t it be great to surround yourself with people you can actually learn from?
Permanent beta
Everything’s an experiment. Our starting hypothesis? Specialists > generalists. In an industry that’s constantly evolving, we are too. So it helps if you can get comfortable with a bit of ambiguity.
Everyone is hands-on, even the founders. We’re all experts, but nobody thinks they know best. We believe good ideas can come from anyone. And getting to the best solution is more important than being right.
Every growing company is a training company
Whatever your background or specialism, one thing you will do at Measurelab is learn. Whether that’s by doing, by pairing, or by sharing your expertise with others.
With development paths for each role, you’ll have every opportunity to flex, stretch and extend yourself every day. You help us grow, we’ll help you grow. Deal?
Home, but not alone
We’re sold on the benefits of distributed working, but aware of the challenges. So while you might choose to work remotely, we do our best to ensure you never feel isolated.
For starters, you’ll get everything you need to operate at home like the total pro you are. You even get to choose your weapon – Mac, PC or Chromebook.
You’re free to plan your day and get things done your way. Meditate mid-morning. Take a lunchtime hike. Squeeze in the school run. You’ll be judged on output, not hours.
Of course we’d love for you to visit our Lewes or Manchester offices. Come in three or four days a week if you like, or drop by once a month to check-in and bag a free lunch.
Beyond the Measureverse, there are plenty of opportunities to collaborate and socialise IRL. We have quarterly all-company in-person get-togethers and regular social outings for some unforgettable experiences: ocean kayaking, chocolate-making, or Dan’s infamous caterpillar impression.
Pay and perks
We recruit across the whole UK and benchmark our pay bandings annually against market rates.
Get all the benefits you’d expect: pension, private healthcare (post-probation), flu jabs, eye tests and glasses, cycle to work scheme, shiny new technology scheme, holiday buyback scheme (we like a scheme).
And a few nice surprises: three days to work for a charity of your choice and your birthday off. You’re very welcome.
Got more questions? To get a flavour of what to expect at Measurelab, check out our instruction manual.
The interview process
1. First interview
2. Technical test
3. Second interview
4. Formal offer
5. Meet the team
6. Reference checks
Celebrating difference
Measurelab is an equal opportunities employer. We’ve seen first-hand the value of bringing together people with different perspectives, ideas and backgrounds.
We want to hear from people who identify with underrepresented groups in our industry, including those with autism, ADHD, dyslexia, and other neurodevelopmental conditions.
If we can support you with any adjustments or further information to help with your application, please get in touch and we’ll do our best to accommodate your requests.
Roles at Measurelab
Consultant
Consultants lead client engagements, advising on data-driven marketing, coordinating delivery and regularly getting hands-on with the data and technology themselves.
Associate
Associates provide support on implementation, reporting and analysis tasks with the opportunity to develop their skills as a consultant, analyst or engineer.
Analyst
Analysts explore, visualise and analyse marketing data to find insights and drive action, using a combination of popular BI tools, SQL, python, machine learning and AI.
Engineer
Data and analytics engineers build and maintain pipelines, CDPs and data warehouses to collect, ingest and transform data so it can be visualised, queried and activated.