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Operations Analyst jobs in United Kingdom

Operations Data Analyst (Special Projects)

Lendable

City Of London
Hybrid
GBP 60,000 - 80,000
9 days ago
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Operations Analyst - Fund Accounting

HSBC

City of Edinburgh
On-site
GBP 80,000 - 100,000
10 days ago

London Operations Summer Analyst — Immersive Internship

Goldman Sachs Group, Inc.

Greater London
On-site
GBP 20,000 - 30,000
15 days ago

Legal Operations Business Analyst 6 Month FTC

CMS Legal

Greater London
Hybrid
GBP 40,000 - 55,000
10 days ago

Senior Real-Time Analyst — Live Operations Lead (Hybrid)

theforum.social - jobboard

Manchester
Hybrid
GBP 55,000 - 75,000
13 days ago
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Operations Analytics & AI Automation Analyst

Lendable

City Of London
Hybrid
GBP 60,000 - 80,000
9 days ago

Hybrid Operations Reporting Analyst – Data Insights

Cover-More

Brighton
Hybrid
GBP 40,000 - 60,000
11 days ago

Legal Operations Analytics Analyst (Hybrid)

RGH-Global Ltd

Greater London
Hybrid
GBP 80,000 - 100,000
11 days ago
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Operations Systems Support Analyst – XTP/FEES Specialist

Rex Technologies GmbH

Greater London
On-site
GBP 40,000 - 60,000
11 days ago

Hybrid Legal Operations & Data Analyst

RGH-Global Ltd

Greater London
Hybrid
GBP 80,000 - 100,000
11 days ago

SaaS Operations Analyst – Incident & Analytics (Hybrid)

EF Recruitment

City Of London
Hybrid
GBP 60,000 - 80,000
11 days ago

Operations Reporting Analyst

Cover-More

Brighton
Hybrid
GBP 40,000 - 60,000
11 days ago

Healthcare Data Analyst: KPI & Insights for Operations

IPRS Health

United Kingdom
On-site
GBP 30,000 - 45,000
11 days ago

FP&A Analyst, European Operations (10-12 Month Contract)

Flexjet Europe

Farnborough
On-site
GBP 80,000 - 100,000
11 days ago

Operations Systems Support Analyst

Rex Technologies GmbH

Greater London
On-site
GBP 40,000 - 60,000
11 days ago

Operations & Systems Analyst — Flexible Hours + ESOP Path

Kite Magnetics

Greater London
On-site
GBP 83,000
12 days ago

Senior Technology Analyst, Manager - Insurance Operations & Domain Solutions, Technology & Tran[...]

Deloitte LLP

Greater London
On-site
GBP 40,000 - 60,000
13 days ago

Property Operations Analyst: Policy, Controls & Yardi

Cobalt Consulting (UK) Ltd

Manchester
On-site
GBP 40,000 - 55,000
15 days ago

Hybrid: Global Operations Change & M&A Analyst

Janus Henderson Investors

City Of London
Hybrid
GBP 60,000 - 80,000
15 days ago

Operational Finance & Reporting Analyst (Hybrid)

The Compleat Food Group

Crewe
Hybrid
GBP 35,000 - 45,000
12 days ago

Defence Operational Concepts Analyst

Thales

Belfast
Hybrid
GBP 40,000 - 60,000
13 days ago

Operational Performance Analyst – Ground Ops & Data Insights

easyJet Airline Company PLC

Greater London
Hybrid
GBP 35,000 - 45,000
15 days ago

Hybrid Operational Reporting Analyst – FMCG Finance

The Compleat Food Group

Market Drayton
Hybrid
GBP 60,000 - 80,000
15 days ago

Operational Reporting Analyst – FMCG Finance Insights

The Compleat Food Group

Poole
Hybrid
GBP 35,000 - 50,000
15 days ago

Operational Reporting Analyst - FMCG Finance

The Compleat Food Group

Nottingham
Hybrid
GBP 60,000 - 80,000
15 days ago

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Operations Data Analyst (Special Projects)
Lendable
City Of London
On-site
GBP 60,000 - 80,000
Full time
9 days ago

Job summary

A leading fintech company in London is looking for someone to join their Operations Science & Strategy team. You will design and deploy automation to improve customer interactions using data and AI technologies. This role offers the opportunity to work closely with senior leaders to analyze operations and develop KPI frameworks. Ideal candidates should have 1-3 years of experience with SQL and Python, possess strong analytical skills, and be able to communicate insights effectively. Competitive benefits and a flexible working environment are provided.

Benefits

Best-in-class compensation including equity
Flexible working arrangements
Private health insurance
Fully stocked kitchen
Focus on well-being

Qualifications

  • 1-3 years of hands-on experience using SQL and Python in a professional setting.
  • Highly numerate with strong analytical reasoning.
  • Ability to independently structure analysis, build prototypes, and deliver insights.
  • Experience communicating data-driven recommendations to non-technical business stakeholders.

Responsibilities

  • Use Python and LLM APIs to design and deploy automation that replaces manual processes.
  • Analyse key operations demand drivers and build analytical models.
  • Build clear KPI frameworks and translate data into commercial insights.
  • Work directly with senior leadership on strategic initiatives.

Skills

SQL
Python
Analytical reasoning
Data-driven decision making
Job description
About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We’re building one of the world’s leading fintech companies and are off to a strong start:

  • One of the UK’s newest unicorns with a team of just over 600 people

  • Among the fastest-growing tech companies in the UK

  • Profitable since 2017

  • Backed by top investors including Balderton Capital and Goldman Sachs

  • Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to
  1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1

  2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo

  3. Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting

About the Role

We’re building the most advanced, data‑driven operating model in fintech. As part of Lendable’s Operations Science & Strategy team, you’ll sit at the intersection of analytics, data science, and AI engineering — using data, LLMs, and automation to transform how our Operations teams work at scale.

You’ll work directly with senior Operations leadership to diagnose demand drivers, uncover commercial opportunities, build KPI frameworks, and deploy automation that materially reduces our cost‑to‑serve while improving customer outcomes.

If you’re technical, curious, and love owning problems end‑to‑end, this is the role for you.

What You’ll Do
1. Automation & AI Engineering
  • Use Python and LLM APIs (e.g. OpenAI) to design and deploy automation that replaces manual CS/FS processes.

  • Build prototypes, test with real operations data, and scale the successful ones into production workflows.

  • Partner with PMs and engineers to operationalise AI‑driven solutions across Operations.

2. Demand Analytics & Strategy
  • Analyse key operations demand drivers (contact per customer, reason drivers, seasonality, servicing behaviour).

  • Identify levers to reduce avoidable demand and improve customer outcomes.

  • Build analytical models that drive decision‑making around cost optimisation and resourcing.

3. KPI & Funnel Intelligence
  • Build clear, robust KPI frameworks and funnel views across customer journeys.

  • Translate data into commercial insight, operational efficiency recommendations, and productivity tracking.

  • Create metrics that scale across new geographies, products, and teams.

4. Work With Senior Leadership
  • Work directly with Ops Directors, Heads of CS/FS/Fraud/Complaints, and the COO on strategic initiatives.

  • Turn raw data into narrative‑driven recommendations that are simple, actionable, and commercially grounded.

  • Own analytics for high‑impact projects end‑to‑end.

What We’re Looking For
Must‑Have Skills
  • 1‑3 years of hands‑on experience using SQL and Python in a professional setting.

  • Highly numerate with strong analytical reasoning.

  • Ability to independently structure analysis, build prototypes, and deliver insights.

  • Experience communicating data‑driven recommendations to non‑technical business stakeholders.

Nice‑to‑Haves
  • Experience with dbt or modern data stacks.

  • Familiarity with LLMs, APIs, or interest in building AI automation.

  • Exposure to product, strategy, or operations environments.

  • Thrives in fast‑paced, ambiguous environments.

  • Comfortable wearing multiple hats: Analyst, Data Scientist, AI Engineer, PM.

  • Highly motivated, entrepreneurial mindset, and excited by building the strongest operating model in fintech.

Why Join
  • Work on high‑visibility, high‑impact projects that directly shape the future of Lendable’s operations.

  • Build automation and analytics used daily by hundreds of agents and thousands of customers.

  • Collaborate with a small, sharp, and ambitious team that moves fast.

  • Real ownership: if you build it, you’ll see it shipped and scaled.

Life at Lendable
  • The opportunity to scale up one of the world’s most successful fintech companies.

  • Best‑in‑class compensation, including equity.

  • You can work from home every Monday and Friday if you wish — on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.

  • Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday‑Thursday.

  • We care for our Lendies’ well‑being both physically and mentally, so we offer coverage when it comes to private health insurance.

  • We’re an equal‑opportunity employer and are looking to make Lendable the most inclusive and open workspace in London.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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