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Harnham

Operations Analytics & Insights Lead

London
£90k – £100k/yr
Posted about 20 hours ago
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Operations Analytics and Insight Lead

London (Hybrid) | £100,000 + Bonus + Benefits

If you're looking for a leadership role that combines hands-on analytics, strategic influence, people management, and emerging AI initiatives, this is an excellent opportunity. You'll play a key role in shaping how a data-driven organisation uses analytics to improve operational performance, automate processes, and support AI-enabled products.

The Company

They are a well-established, technology-led organisation with a large and engaged customer base. Analytics is a core function within the business, supporting decision-making across operations, customer experience, and commercial strategy. They continue to invest heavily in data, automation, and AI capabilities, creating an environment where analytics leaders can make a visible impact. The culture is fast-paced, collaborative, and focused on continuous improvement.

The Role

You will lead a team of analytics professionals while remaining closely involved in the technical delivery of analytical projects.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Key responsibilities include:

  • Leading, coaching, and developing a team of analysts and technical specialists
  • Shaping the analytics roadmap and partnering with senior stakeholders to prioritise business needs
  • Developing frameworks to measure operational performance and identify opportunities for improvement
  • Delivering hands-on analysis, including experimentation, statistical testing, and operational insight generation
  • Influencing senior leaders through data-driven recommendations and strategic thinking
  • Automating manual processes and improving analytical ways of working
  • Supporting AI and chatbot initiatives by building operational context and measurement frameworks
  • Providing insight into the performance and adoption of internal AI tools and copilots
  • Driving a more structured, scalable approach within a fast-moving operational environment

Your Skills & Experience

  • Strong commercial experience in analytics leadership and people management
  • Advanced SQL skills with the ability to remain hands-on technically
  • Experience leading analytical initiatives that influence operational or commercial strategy
  • Strong statistical knowledge, including experimentation and significance testing
  • Experience working with stakeholders at multiple levels, including senior leadership
  • Ability to balance strategic planning with day-to-day delivery
  • Experience using AI tools to improve processes and productivity
  • Exposure to regulated industries such as financial services, fintech, insurance, telecommunications, or similar environments is advantageous
  • Experience with modern analytics tools such as Looker, dbt, Airflow, or Git is beneficial
  • Background in operational analytics, customer service analytics, workforce management, process optimisation, or related areas is highly desirable

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How to Apply

If you're an experienced analytics leader who enjoys combining technical delivery, team leadership, and strategic influence, please apply to discuss this opportunity in more detail.

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Location

London, England, United Kingdom

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