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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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Data Analyst (Digital & Marketing Focus)

London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits

The Company

Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.

With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.

The Role

They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.

You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.

Responsibilities

• Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).

• Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).

• Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.

• Present insights and recommendations confidently to clients via Zoom and face-to-face.

• Support client strategy by identifying opportunities to optimise spend and improve ROI.

Candidate Profile

• 2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).

• Strong SQL and Python skills, with a good grounding in statistics.

• Experience with Google Analytics or Adobe Analytics.

• Hands-on dashboarding experience (Looker Studio, Tableau or similar).

• Comfortable working directly with clients and explaining insights to non-technical stakeholders.

• 2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).

Package & Benefits

• Salary up to £50,000 (depending on experience).

• Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).

• 25 days holiday, state pension, profit share scheme.

• Direct exposure to senior leadership, with clear progression opportunities.

Interview Process

1. Introductory interview with senior team members.

2. Technical assessment (SQL + GA data integration & dashboard creation).

3. Final stage with leadership and chance to meet the wider team.

Find out more and apply via the link below.

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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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Customer Data Analyst – up to £50,000 | Hybrid (2 days per week in London)

High-growth consumer services company | Expanding data team | Customer behaviour & retention focus

I’m supporting a rapidly expanding consumer services organisation that has seen significant growth and investment in digital, data, and customer analytics over the past few years. As part of their continued transformation, they are looking for a Customer Data Analyst to join their insights function and help shape customer strategy across the business.

This is an opportunity to join a modern, insight-driven environment, working with senior stakeholders and influencing decisions around customer value, retention, product innovation, and commercial performance.

The Role

You will join a collaborative analytics team and work with stakeholders across Commercial, Marketing, Finance, and Technology. Your focus will be understanding customer behaviour, identifying value opportunities, and delivering insights that directly inform business strategy.

What You’ll Be Doing

• Develop and enhance customer segmentation to identify behavioural and value-based groups.

• Analyse churn, retention, loyalty, and customer lifetime value to support business planning.

• Explore diverse datasets – including customer interactions, service usage, device/behavioural data, and geographic insights – to uncover new opportunities.

• Conduct deep-dive evaluations of customer-focused product ideas and potential investments, providing clear, actionable recommendations.

• Partner with senior stakeholders to communicate insights in a simple, commercial, and impactful way.

• Support A/B testing, funnel analysis, and journey optimisation initiatives.

• Build dashboards and automate reporting to improve operational efficiency and insight accessibility.

What They’re Looking For

• Strong SQL and Python experience with solid analytical and storytelling skills.

• Background in customer or commercial analytics (telco, subscription, retail, e-commerce, utilities, FS, etc. all relevant).

• Ability to translate complex data into clear, actionable insight.

• Confident working with senior stakeholders and owning analysis end-to-end.

• Experience with segmentation, churn/retention analysis, or CLTV modelling is a strong advantage.

• Someone proactive who enjoys solving real business problems with simple, effective solutions.

Why This Role Is Unique

• Join a fast-growing organisation investing heavily in analytics and insight.

• Work on high-impact customer insight projects with strong visibility across the business.

• Lots of opportunity for greenfield analysis-many datasets remain underutilised.

• Collaborative team environment with strong leadership and clear direction.

• Ideal for someone who enjoys mixing hands-on analytics with strategic business influence.

Salary & Working Model

• Up to £50,000 base salary plus benefits

• Hybrid: 2 days per week in theLondon office

• Excellent exposure, learning opportunities, and ownership of key customer insight projects

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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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Senior Analyst
Location: London – 3 days per week
Salary: Up to £85,000

A private equity-backed company in the green tech space is looking for a Data Scientist / Analytics professional to join a growing team. This is a hands-on role with real ownership, helping the business turn large volumes of data into actionable commercial insights.

What You’ll Do:

• Work closely with the Head of Analytics to deliver actionable insights across the network of charging points

• Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth

• Build statistical models for segmentation, regression, predictive modelling, and forecasting

• Support pricing and revenue optimisation initiatives, including dynamic pricing strategies

• Query and process large datasets coming from multiple real-time sources

• Translate complex analysis into clear recommendations for non-technical stakeholders

What You’ll Need:

• Strong SQL and Python skills; experience in AWS environments is a plus

• Solid statistical analysis background (segmentation, regression, forecasting)

• Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment

• Excellent communication skills and ability to take ownership of projects

• Experience delivering actionable insights rather than exploratory or purely machine learning work

Interview Process:

1. Remote competency interview and CV review

2. Face-to-face interview with testing component (details to be confirmed)

Find out more and apply via the link below.

To Apply for this Job Click Here

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Head of Digital

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 Head of Digital, 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 Econometrician

Up to £60,000

Hybrid – London

A great opportunity to join a leading marketing agency as a Senior Econometrician

THE COMPANY

The business are a leading marketing agency specialised in content creation, social campaigns and media measurement across the globe. Working with clients from various different sectors the business are now looking to grow out the team due to an influx of new projects – and are seeking to hire a Senior Econometrician to join their Measurement team.

THE ROLE AND RESPONSIBILITIES

• Supporting the team on econometrics projects including maintaining, running, and building MMM models from scratch
• Collecting, preparing and cleansing datasets from various sources
• Presenting key insights to clients and senior stakeholders
• Analysing marketing data and providing insights and recommendations to clients
• Support clients with optimising marketing and advertising spend

YOUR KEY SKILLS AND EXPERIENCE

• Proven track-record building MMM/Econometrics models from scratch
• Background in marketing analytics or customer analytics
• Strong technical experience
• Strong communication skills

THE BENEFITS

• Up to £60,000
• Hybrid
• London

HOW TO APPLY

If interested in the role please send your CV to Jordan Victor via the Apply Link below

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Senior Data Analyst
Up to £70,000 * Remote (London-Based)
Recruiting on behalf of a high-growth global tech company

We’re hiring a Senior Data Analyst for a fast-scaling international tech business with millions of active users worldwide. This is a fully remote role (London-based for time-zone alignment) and offers the chance to work across Marketing, Finance, Product, and Growth in a highly data-driven environment.

You’ll join a small but impactful central data team, owning end-to-end analytics projects and delivering insights that directly influence strategic decisions. This role is ideal for someone who enjoys autonomy, solving complex commercial problems, and working across large, behaviour-rich datasets.

What you’ll do

• Tackle business-critical analytics challenges – not pipeline engineering.

• Use SQL, Python, dbt, and a modern data warehouse (BigQuery or equivalent).

• Build BI models and dashboards (Looker/Power BI/Omni-style tools).

• Analyse marketing performance, ad spend, attribution signals, and customer behaviour.

• Support Finance with forecasting, reporting, and KPI modelling.

• Lead retention, churn, and behavioural insights work.

• Deliver projects end-to-end: scope → analyse → recommend → present.

• Drive new dashboards, models, and experimentation initiatives.

Ideal Profile

• 5+ years in commercial analytics, ideally with marketing or customer analytics exposure.

• Strong SQL skills with experience in dbt or similar modelling frameworks.

• Experience with modern cloud data warehouses (BigQuery, Snowflake, Redshift, etc.).

• Skilled in dashboarding tools (Looker, Power BI, etc.).

• Comfortable working with Marketing/User Acquisition teams.

• Understanding of advertising platform constraints (Meta, Google, mobile tracking).

• Excellent stakeholder communication and ability to work autonomously.

• Interest in data science concepts (e.g., LTV modelling).

Why apply?

• Fully remote, flexible working.

• Broad remit with real ownership and influence.

• Exposure to large-scale user behaviour data.

• Opportunities to develop toward Data Science if desired.

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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