Data Strategy Consultant

The Opportunitythis
Lincoln, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Lincoln, United Kingdom

Tech stack

Data Processing
Data Strategy

Job description

Day to day, you can expect to:Prepare, clean, and structure data to support analysis and modelling workConduct research and produce initial outputs, models, and materialsSupport data maturity assessments, condition reviews, governance documentation, and investment analysisUse the firm's internal tools and accelerators to support deliveryContribute to client-ready documents and presentationsBegin to build client-facing skills through supervised interactions with senior team members

Requirements

What we're looking forYou'll be intellectually curious, organised, and someone who takes quality seriously. You check your own work. You ask good questions. You want to understand the problem, not just complete the task.Strong analytical and data handling skills - comfortable working with data in complex, real-world contextsSome exposure to data, governance, analytics, change, or research through study, placements, or early rolesAbility to produce clear, professional written documents and presentationsOrganised and structured approach to tasks, with the ability to work to a brief and meet deadlinesA degree in a relevant discipline - data, business, economics, or analytical - or equivalent experience. We assess this contextually.

Benefits & conditions

Why now, why this firmThe field is genuinely emerging. Data Economics and Data Asset Management are being defined right now. Joining early means growing with a discipline that is still taking shape - and being part of what it becomes.The development is structured and real. You'll build fluency across the firm's full range of work - maturity assessments, condition diagnostics, governance design, and investment cases - supported by experienced practitioners with a genuine interest in your growth.The culture is built on trust. A small, high-calibre team where your work is visible and your contribution counts from the start.The package is thoughtfully designed. Competitive salary, private health cover with enhanced mental health support, generous family policies, and access to professional financial advice.Flexibility with purpose. Around 60% in-person collaboration in London; genuine autonomy to shape the rest of your week around where you do your best work.This role is being recruited on a confidential basis. The client's name will be shared with suitable candidates at first conversation stage.Please apply to find out more. London | Permanent, full time | Competitive salary + bonus

About the company

Most organisations know their data isn't in great shape. Very few know exactly why, or what it's actually costing them. The opportunityThis is a specialist boutique that helps major organisations understand, manage, and get real value from their data. Their work spans data maturity assessments, data quality and condition diagnostics, governance and operating model design, and data investment prioritisation. They have clients across infrastructure, utilities, transport, and financial services. It's rigorous, commercially grounded work that lands at board level. They're looking for a Consultant to join their delivery team as a Solution Analyst. This is an earlier-career role, but it's not a junior role in the way most firms use that word. You'll be on live client engagements from day one, doing real analytical work, supported by experienced practitioners who are invested in your development. What the work actually looks likeYou'll be part of a squad working on live engagements - the analytical engine behind every project. That means preparing and structuring data, conducting research, building models and initial outputs, and contributing to client-ready documents and presentations. The work varies by engagement: one project might involve gathering and analysing data to assess how mature a client's data assets are across the enterprise; another might involve supporting a root cause analysis of why critical data is underperforming, or helping document a governance framework.

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