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Operations Insight & Strategy Lead (12 month FTC)

Job in London, Laurel County, Kentucky, 40741, USA
Listing for: Socket.dev
Full Time, Part Time, Contract position
Listed on 2026-08-08
Job specializations:
  • Business
    Data Analyst
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 94213 - 121131 USD Yearly USD 94213.00 121131.00 YEAR
Job Description & How to Apply Below

What we do.

Electric Car Leasing

Why we do it.

Greener. Fairer. Future.

The role

Customers are at the heart of everything we do at Octopus Electric Vehicles. We are constantly seeking new ways to improve our customer experience, and we are looking for someone to play a pivotal role in shaping how we do that.

Our customer journey generates a huge amount of data – from the interactions we have with them (calls, emails, complaints etc.), to the actions we take to get them into the EV of their dreams.

This data is currently collected and cleaned in our data platform (managed by our Data Team). We need someone who can help us use that data thoughtfully and effectively to create meaningful, actionable insight on what is really happening for our customers and our teams. Someone who can turn fragmented operational data into meaningful insight. And, most importantly, someone who can help make that insight operational: embedded into how teams work, how leaders make decisions, and how the business improves.

This is a role for someone who can move fast, think clearly, operate with precision, and help us turn data into better customer outcomes.

London based (minimum 3 days a week in office) and 1 or 2 trips to Brighton a month.

What you'll do

  • Shape our thinking and understanding of customer experience and wider operational performance to support front line staff through to SLT leadership

  • Create a data-led understanding of what our customers are experiencing and what they are telling us, building a full view of the Voice of the Customer

  • Help us understand what we should be tracking and measuring to understand our customers (i.e. metric creation) and build reporting to monitor performance

  • Work with the Director of Operations and Head of Customer Operations to create strategy & implementation plans off the back of CX data, and help us make the right prioritisation calls to address the biggest CX pain points

  • Create strong stakeholder relationships, across the front line teams, the Data Team, Operations Leadership and the SLT,

  • Build-on and oversee our headcount forecasting tooling.

  • We will also expect you to scope and get involved in the projects to deliver improvements off the back of the insights work - liaising closely with our teams to make sure that the insight drives meaningful change.

  • We do not just need someone who can say “this is what the data shows”. We need someone who helps us find answers to “what are we going to do differently on Monday?”.

What you'll need

There is no strict requirement on background, but working in management or strategy consulting, experience in growing scale-ups and performing in roles that sit between data and operations will help. You may have worked in cleantech or fintech.

You'll likely have a project-mindset and an action for getting things done.

You will probably have 5-7 years of experience.

You'll have experience with:

  • Finding meaning in messy data and turning it into a strategy with measurable improvements

  • Changing requirements and vague briefs

  • Working with both data teams and frontline operational teams

  • Communicating with both technical and non-technical stakeholders, and adapting your content to the audience

  • Large datasets to identify key insights

  • Structuring output ready for senior leadership review

  • Customer data and insights

  • SQL, Excel and exploring AI tooling

  • Overseeing transformational projects and driving change with colleagues

  • You will be working directly with the Director of Operations and you will be expected to be comfortable working at this level of seniority.

You'll probably be great if you:

  • Care deeply about customers and the people serving them.

  • Are highly analytical and comfortable working with messy data.

  • Can use data to find patterns, causes and opportunities.

  • Understand that insight only matters if it changes decisions or behaviour.

  • Can turn vague questions into structured analysis.

  • Can communicate complex findings simply for front-line through to senior leadership audiences.

  • Are excited by the potential of AI to evolve how we understand customers and operations.

  • Have strong judgement on what matters and what is noise.

  • Can work quickly without losing accuracy.

  • Are comfortable with…

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