Consultant

Salary: senior £40,000 to £60,000 plus benefits; lead £55,000 to £75,000 plus benefits 

Location: Remote-first (UK based)

Status: We are not actively recruiting for this role but welcome speculative applications

About the role

Analytics Consultants at Measurelab lead our client engagements and are responsible for the satisfaction and success of our client partners. They are expected to build strong relationships, becoming a trusted advisor and acting as the bridge between the client and our specialist delivery teams.

You should be comfortable talking to a variety of business, marketing and technical stakeholders about their data-driven dreams and ambitions - adjusting your language as necessary so that people can understand our complex and fast-moving world.

You’ll be expected to understand business and marketing goals and translate them into data and analytics requirements. In more senior positions, you’ll be planning pragmatic roadmaps - in more junior positions, you’ll be expected to build and maintain a prioritised backlog or queue of work. You’ll define user stories, identify the analytical, data and technical requirements, and estimate work effort (with a bit of assistance from the other experts you’ll be surrounded by).

We’re only interested in the hands-on, sleeves rolled-up type of consultant (you don’t actually have to have sleeves - t-shirts are fine). We don’t peddle PowerPoint or sell snake oil - we actually get stuff done. You should be comfortable working day-to-day in a variety of analytics tools, but well aware of your limitations.

You’ll share responsibility for the commercial success of client relationships - but don’t worry, this isn’t a sales role. Our current team is composed of people from a variety of backgrounds who all enjoy the fast paced, interesting challenges that come with leading client engagements.

We only employ UK-based candidates with the right to work in the UK. You may be expected to travel for work in the UK or abroad from time to time.

Perks of the job

• 28 days a year holiday as standard (includes Christmas closure - typically three days) not including Bank Holidays
• Plus, an extra day off if your birthday falls on a working day!
• Additional holiday buy-back scheme (up to 10 extra days)
• Three charity days a year - to give back to good causes
• Healthcare, wellness and pension schemes
• Bike to work and technology purchase schemes

Location

We’re a distributed team working all over the UK. There’s no insistence on three, two or even one day in the office a week. That’s entirely up to you.

We have small offices in Lewes, near Brighton, and Ancoats in Manchester and we use co-working spaces in London (Soho, Farringdon, London Bridge, Camden). Handy if you need some face-time or want to get together with your team from time to time.

We get together in person as a company four times a year for our Spring Break, Summer Party, Autumn Kick-Off and Christmas Party. Attendance at these events is important and expected (and generally a lot of fun!).

Must-have skills

• Ability to translate requirements into actionable plans and then oversee the delivery process
• A passion for data and analytics and the curiosity to learn more about new concepts and tools
• A skill for data storytelling and a willingness to analyse, interpret data and make observations and recommendations
• Experience of implementing and configuring Google Analytics and Google Tag Manager and conducting audits
• Being able to confidently debug GTM tagging (Either via Dataslayer, GTM Debugger or even some knowledge of JavaScript)
• Familiarity with Looker Studio and/or other BI tools for data visualisation and dashboarding
• Strong communication skills and good documentation practices
• The ability to solve problems and think calmly and logically in demanding situations!

Nice-to-have skills

• Experience working in a similar position, leading client relationships in an agency setting

• Exposure or experience in the commercial aspects of working with clients: scope of work documents, upsells and renewals

• Working in/to an agile methodology using kanban and/or sprints and scrums in a project management tool

• Exposure to cloud-based data warehouses like Google BigQuery and unified analytics