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DATA ANALYST

GILLINGHAM – 3 DAYS A WEEK ONSITE

UP TO £40,000

THE COMPANY

This is a business on a real data journey. They’re scaling fast, investing heavily in analytics, and putting data at the centre of how they improve performance. If you want to join a company where analytics genuinely drives decisions, this is a great place to do it.

THE ROLE

As a Data Analyst, you’ll sit at the heart of how the organisation understands its operations. You’ll be digging into operational and service-centre data, mapping out full customer and process journeys, and turning numbers into clear, actionable insight for senior leadership. Reporting, dashboarding and performance analysis are a huge part of the role, and you’ll work closely with finance, ops and leadership to highlight what’s working – and where the opportunities are.

You’ll be responsible for:

• Exploring complex operational datasets to surface trends, issues and opportunities
• Mapping end-to-end processes and identifying areas for efficiency
• Building and owning Power BI dashboards used for real-time decision-making
• Presenting insight and recommendations to senior stakeholders
• Maintaining data quality and consistency across systems
• Highlighting data/process gaps and supporting business cases for change

YOUR SKILLS & EXPERIENCE

To be successful, you’ll need:

• Proven experience as a Data Analyst, ideally within retail, automotive or manufacturing
• Strong Power BI capability
• Solid SQL for pulling and interrogating large datasets
• Advanced Excel skills
• Experience creating dashboards and visualisations
• Strong communication skills, with the ability to translate data for non-technical teams
• Python experience is a nice-to-have, not a must

THE BENEFITS

• Salary up to £40,000
• Opportunity to shape the analytics function as it grows
• Direct exposure to senior decision-makers

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QUANT ANALYST

LONDON- 5 DAYS PER WEEK

SALARY UP TO £140,000 + BONUS

Harnham have partnered with a high-growth alternative credit investment firm that has quickly established itself as a major player in European private markets. With multi-billion AUM, a highly technical investment team, and a strong pipeline across real estate credit and asset-backed finance, they’re now looking to bring in a talented Asset-Backed Finance Quant to support the expansion of their ABF platform.

THE ROLE

You’ll be a key quantitative voice within a tight-knit team, helping build and scale the ABF function. Expect to:

• Design and implement pricing, valuation, and risk models for asset-backed finance investments
• Deep-dive into granular financial and loan-level data to drive investment insight
• Work cross-functionally across investment, risk, and operations to optimise portfolios
• Shape the data and tooling infrastructure underpinning the ABF investment process
• Stay ahead of market and regulatory developments, presenting clear insights to senior stakeholders
• Support the full investment lifecycle, including performance monitoring and IC updates
• Collaborate across wider business teams to support firm-wide initiatives

RESPONSBILITIES

• Master’s or PhD in Mathematics, Statistics, or another quantitative discipline
• 3+ years’ experience in asset-backed finance, quant analysis, credit risk, or data-driven investment roles
• Hands-on experience working with granular loan portfolios (consumer, SME, mortgages, receivables)
• Strong Python skills and comfort with modelling, analytics, and statistical techniques
• Solid understanding of structured/asset-backed finance and broader market dynamics
• Excellent communication skills – able to translate complex modelling into commercial insight
• A self-starter mentality, strong attention to detail, and the ability to thrive in a fast-paced, high-performance environment
• Strong interpersonal skills and confidence working with stakeholders across the business

HOW TO APPLY

Please send CV below

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HEAD OF FINANCE

£80,000

LONDON

This role offers the chance to have a real variety in your work within a close-knit, impact-driven lender.

THE COMPANY

We’re working with an exciting London Lender that are in an exciting period of growth. They are well established in their lending and are now looking to grow out their Finance function, with the opportunity to really influence the direction of the business. This is a unique opportunity for someone to really add value and progress into the long term.

THE ROLE

Within this, you can expect to work on:

• Setting financial and business strategy across the company as they expand
• Shape how data is sued across the business and support forecasting and investment decisions
• Manage financial reporting and wider monitoring
• Own the financial models and enhance these as needed to drive business performance
• Manage a small team to help deliver financial strategy

YOUR SKILLS AND EXPERIENCE

• Finance qualification (CIMA, ACCA, ACA)
• Good experience with financial planning, financial management and accounting
• Experience within Financial services
• Good Excel experience
• Prior line management experience
• Desire to take charge of a function and direct change, keen to drive impact

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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DATA ANALYST
GILLINGHAM – 3 DAYS IN THE OFFICE
UP TO £40,000

THE COMPANY
A growing organisation investing heavily in data and analytics. They are focused on improving operational performance and revenue through better insight, and this role sits at the centre of that ambition.

THE ROLE
As a Data Analyst you will play a key role in shaping how data is used across the business. You will analyse operational data, map out end to end journeys and help senior leaders understand performance through clear reporting and dashboarding. You will work closely with finance, operations and leadership teams to identify opportunities for improvement and drive data led decision making.

You will
* Analyse complex operational and service centre data to uncover trends and opportunities for improvement
* Map full process journeys for stakeholders, highlighting where efficiencies can be made
* Build and maintain interactive Power BI dashboards for live decision making
* Present insights and recommendations to senior management
* Ensure data accuracy and integrity across multiple systems
* Identify gaps in current data and processes and support the development of business cases for improvement

YOUR SKILLS AND EXPERIENCE
You will need
* Proven experience as a Data Analyst, ideally in retail, automotive or manufacturing
* Strong Power BI experience
* SQL skills to interrogate large datasets
* Advanced Excel
* Experience building dashboards and data visualisations
* An analytical mindset and the ability to communicate insights to non technical teams
* Python is desirable but not essential

THE BENEFITS
* Salary up to £40,000
* Great opportunity to shape reporting and analytics in a growing team
* Exposure to senior decision makers

If you are curious, commercially minded and excited by the chance to build meaningful insight, this is a great opportunity.

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Senior Insight Analyst – £55,000 + Benefits

Remote (UK-Based)
Modern BI Stack | Data Transformation | Commercial Insight

Are you a commercially minded analyst who loves turning complex data into actionable business insight?
Our client – a leading UK distributor and supplier of industrial products – is undergoing a major data transformation and is seeking a Senior Insight Analyst to help drive smarter, data-led decisions across the business.

This is a fantastic opportunity to play a key role in shaping how data supports pricing, profitability, and operational performance within a dynamic, product-heavy environment.

The Role

As Senior Insight Analyst, you’ll sit within a forward-thinking transformation team, working closely with senior stakeholders across sales, marketing, finance, and supply chain.

You’ll analyse performance across thousands of SKUs and customers, deliver pricing and margin insights, and help build the foundations of a modern, connected BI environment under Microsoft Fabric.

This role is ideal for someone who enjoys blending commercial thinking with technical analytics – not just reporting numbers, but understanding the why behind them.

What You’ll Be Doing

• Lead analytical work across pricing, rebates, and margin performance, helping identify where value is gained or lost.

• Deliver actionable insights across sales, marketing, finance, and supply chain.

• Partner with ecommerce teams to improve visibility of digital performance and customer behaviour.

• Support key data integration and transformation projects within the Microsoft Fabric environment.

• Translate large datasets into clear, commercial recommendations for senior stakeholders.

• Contribute to key strategic initiatives, including price, volume, and mix analysis and margin optimisation.

Tech Environment

Core Skills: SQL (essential), Power BI (advantageous)
Platform: Microsoft Fabric (mid-implementation)
Languages: Python (pandas/numpy – desirable, not essential)
Other: Salesforce & Google Analytics exposure beneficial

About You

• Proven experience as an Insight Analyst, ideally in wholesale, distribution, or another product-heavy industry.

• Strong knowledge of pricing, rebates, and margin analysis.

• Excellent SQL skills and analytical problem-solving capability.

• Commercially aware – able to tell stories with data and influence decisions.

• Confident communicator who can engage across multiple business areas.

• Naturally curious, proactive, and adaptable in a fast-changing environment.

Why Apply?

• Join a business at the heart of a major BI and data transformation.

• Blend commercial strategy with technical analytics.

• Work within a supportive team driving real change and visibility.

• Exposure to Microsoft’s modern Fabric BI stack.

• Flexible, fully remote working with occasional collaboration days in the Midlands.

If you’re passionate about using data to drive profitability and operational excellence – and want to make a real impact within a modern, evolving BI landscape – apply in confidence today.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

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Digital Product Lead

Hybrid – 4 days in Central London
Up to £80,000 + Bonus
Urgent Hire | High-Impact Role | Performance-Driven Team

THE COMPANY

This is a global organisation scaling fast, backed by significant investment and operating in a marketing-led, data-first model.

They’re restructuring digital from the ground up-bringing in top-tier talent, overhauling platforms, and investing in AI, CRM, CRO, and SEO to build out a world-class digital experience across their web infrastructure.

If you’re used to high performance, fast decisions, and real commercial ownership-this is your arena.

THE ROLE

As Digital Product Lead, you’ll own the strategy, performance, and roadmap of a newly centralised web platform (Drupal CMS), serving as the digital heartbeat of a multi-brand global business.

This isn’t just about keeping the lights on-this is your product. You’ll connect content, CRM, CRO, SEO, and AI innovation into one high-performing, scalable digital ecosystem.

Think:
End-to-end product leadership
AI experimentation with real budget
CRM + CRO integration
UX and conversion at the core
Global scale, local delivery

This is not a delivery or project role-it’s a strategic digital product position in a business that genuinely values performance, conversion, and measurable outcomes.

WHAT YOU’LL BE DOING

• Drive the product roadmap for a global digital platform (Drupal)

• Lead performance-focused UX, SEO, and CRO initiatives

• Connect CRM campaigns, enrolment journeys, and retention efforts into one seamless experience

• Experiment with and scale AI-powered tools across web and marketing ops

• Own uptime, security, scalability, and GDPR compliance

• Manage agency relationships and ensure ROI-driven output

• Work closely with data, performance, and content teams to continually optimise

YOUR EXPERIENCE

• Proven experience in digital product leadership (web/product/CRM/CRO/SEO)

• Can lead cross-functional teams without needing to be hands-on

• Commercial mindset-focused on performance, not just delivery

• You think like a product owner and act like a performance marketer

• Passionate about AI innovation (no need to be a technical expert)

• Bonus if you’ve worked in fast-growth, multi-brand, or PE-backed environments

WHAT’S IN IT FOR YOU?

✅ A product role with real strategic ownership
✅ Exposure to AI adoption and platform innovation
✅ Leadership visibility in a performance-led, marketing-first business
✅ Opportunity to make global impact from day one

Find out more and apply via the link below.

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Senior Data Analyst – Customer Experience

£65,000 + 10% Bonus + Equity (Exit Expected in 1-2 Years)

Fully Remote (Quarterly meet-ups in London/Brighton – expensed)

We’re partnered with a high-growth, mission-led tech company in the subscription and marketplace space, backed by recent investment and valued at over $100M. They’re scaling fast, expanding their product and data capabilities, and preparing for an exciting exit event within the next couple of years – meaning the equity on offer has real value.

This is a key hire in a small but growing data team that’s helping the business become more data-driven, shaping how product and customer decisions are made. You’ll be joining a close-knit, passionate team that truly loves what they do and the community they’re building.

The Role

You’ll join as a Senior Data Analyst focused on Member / Customer Experience, working closely with Product, UX, and Engineering teams. Your work will directly impact metrics like churn, renewal rates, and lifetime value, driving insights that improve the customer journey from start to finish.

You’ll:

• Partner with product teams to run and analyse experiments and validate hypotheses.

• Use data to understand behaviours that drive renewals and retention.

• Deliver compelling storytelling and actionable insights that shape strategy.

• Help define what great data culture looks like across the business.

What We’re Looking For

• Advanced SQL skills.

• Proven experience in product and customer analytics – experimentation, churn/LTV/retention analysis.

• Background in subscription-based, marketplace or tech-driven environments.

• Confident communicator and self-starter, able to influence non-technical stakeholders.

• Experience with tools like Mode, Amplitude, DBT, Python or R is beneficial (not essential).

Why Apply?

• Equity with upcoming exit – real potential for payout in 1-2 years.

• Fully remote with a collaborative, friendly, pet-loving culture.

• Fast-growing environment with opportunities for personal and career growth.

• Be part of a team that’s building something meaningful and global.

Interview process:

• Stage 1: 30-min intro with hiring manager

• Stage 2: Case study + short live SQL exercise

• (Optional) Stage 3: Meet the wider team

Find out more and apply via the link below.

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Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

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Senior Customer Analyst – Loyalty
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst focused on loyalty and customer engagement to join a leading global online marketplace. This strategic role uses data and analytics to shape loyalty initiatives that drive retention, repeat behaviour, and long-term customer value.

What You’ll Do:

• Analyse customer behaviour across loyalty programmes to identify opportunities for engagement and retention.

• Build and manage the Single Customer View (SCV) to unify customer data and enable personalised experiences.

• Recommend improvements to loyalty propositions, including tiers, rewards, and experience enhancements.

• Partner with marketing, data, and global teams to deliver and measure loyalty initiatives.

• Use advanced analytics and storytelling to influence loyalty strategy and maximise customer lifetime value.

Example Projects:

• Redesign loyalty programmes to increase engagement and repeat purchases.

• Develop SCV integrating purchase, engagement, and loyalty data.

• Model customer value to understand the impact of loyalty participation.

• Benchmark competitor loyalty schemes and propose differentiators.

• Share insights globally to replicate successful loyalty initiatives.

Requirements:

• Advanced SQL and experience with a dashboarding tool (Tableau/Looker).

• Strong understanding of loyalty programmes, CRM strategy, and customer engagement.

• Experience in loyalty analytics in e-commerce, retail, or telco environments.

• Analytical skills to interpret data and strategic mindset to design propositions.

• Confident working cross-functionally and internationally, with excellent stakeholder management.

Desirable:

• Python for statistical analysis.

• Experience designing and running A/B tests.

Application Process:

1. SQL test on Kaggle – 2 live-coding questions, interactive.

2. Skills-based interview – 45 minutes (30 minutes questions, 15 minutes candidate questions).

3. Case study/data analysis presentation – face-to-face in the office.

Find out more and apply via the link below.

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Senior Commercial Data Analyst
Location: London (Hybrid, 1-2 days per week)
Salary: £42,700-£53,700 + annual bonus

A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines.

What You’ll Do:

• Act as the go-to data expert for commercial teams, partnering with finance, sales, marketing and strategy

• Build dashboards and reporting tools (Power BI or similar) and support the rollout of a new BI platform

• Translate complex data into actionable commercial recommendations across pricing, product and market performance

• Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth

• Analyse deal value, product performance, customer behaviour and digital/content trends

• Support budgeting, forecasting and wider commercial planning

• Build automated reporting and enable self-serve analytics across the business

Example Projects:

• Migrating legacy reports into a modern BI platform and improving reporting structures

• Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches

• Implementing forecasting and predictive analytics within dashboards

• Supporting CRM and commercial system integrations and helping drive adoption across global teams

• Creating reporting frameworks from scratch to track market trends, revenue performance and customer engagement

What You’ll Need:

• 3-5 years’ experience in analytics or commercial insights

• Strong SQL skills; Python experience desirable

• Experience building dashboards in Power BI, Tableau or similar, with end-to-end ownership

• Strong understanding of relational data structures and data modelling

• Confident communicator able to translate data into commercial action for non-technical stakeholders

• Proactive, curious, and comfortable operating as the sole data specialist in a team

Ideal Backgrounds:
Digital, media, retail, FMCG, tech or similar, ideally from smaller or growing data teams.

Interview Process:

1. Initial conversation (CV anonymised)

2. Technical task

3. Task presentation to commercial stakeholders

4. Final interview with senior leadership

Find out more and apply via the link below.

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