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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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Senior Analytics Specialist – Digital Agency – £45-55k – x2 days a week in London

I’m working with a fast-growing digital agency that partners with leading brands across hospitality, travel, food & drink and entertainment. They’re now looking for an experienced Senior Analytics Specialist to join their performance team.

This is a great opportunity for someone who loves diving into data, setting up robust tracking frameworks, and turning insights into clear, actionable recommendations for clients.

The role:

• Lead on analytics setup and management, including GTM containers and GA4

• Implement analytics accounts, dashboards and reporting structures

• Analyse customer behaviour and campaign performance across multiple data sources

• Communicate insights clearly to internal teams and clients

• Line manage a remote analytics specialist and collaborate across departments

The ideal candidate:

• 5+ years’ analytics experience (agency background desirable)

• Hands-on experience with GA4, GTM and related tools

• Strong analytical mindset with excellent communication skills

• Confident presenting data insights to clients and stakeholders

Benefits:

• UK-remote working, with travel to London when required

• 25 days’ holiday + wellbeing budget

• Great agency culture with socials and team events

If you’re a proactive analytics professional looking for your next step in a creative, fast-moving environment, I’d love to hear from you.

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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 Product Analyst – £80,000 (Hybrid – London)

Industry: Global Consumer Marketplace / App
Department: Product & Insights

A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide.

What You’ll Do

• Act as the lead data scientist for a core product domain

• Drive deep product analytics to uncover opportunities for growth and engagement

• Design, analyse, and interpret experiments across the product ecosystem

• Influence product strategy by connecting insights to business goals

• Improve datasets, dashboards, and analytical tooling

• Work closely with ML teams on discovery, ranking, and personalisation initiatives

What We’re Looking For

• Expert-level SQL + solid Python for product analytics

• Hands-on A/B testing experience (design + interpretation)

• Strong understanding of ETL/debugging data issues

• Excellent communication and stakeholder management skills

• Commercially-minded with experience balancing user and business needs

• Bonus: marketplace experience or exposure to ML-driven products

Why Apply

• High-impact role shaping core product decisions

• Great benefits, flexible work, and strong wellbeing support

• Opportunity to work closely with ML teams and influence a global user experience

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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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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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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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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Digital Marketing & Website Analytics Manager

Location: London | Hybrid (Mon & Wed in-office)
Salary: Up to £65k + Share Options (after 1 year)

About the Role

A leading London-based private healthcare provider is looking for a Digital Marketing & Website Manager to take full ownership of their digital presence. With a brand-new website launching early 2025, this is a high-impact role for someone who loves combining hands-on digital execution with technical website management.

You’ll work across marketing, product and development teams, manage agency partners, and drive performance across all digital channels.

What You’ll Be Doing

Website Management & Optimisation

• Own the website end-to-end (Contentful).

• Lead UAT, regression testing and analytics setup.

• Analyse performance, run A/B tests and drive CRO.

• Collaborate with product and dev teams on UX/functionality improvements.

Digital Marketing Delivery

• Manage SEO, PPC, paid social and web agencies.

• Deliver campaigns across paid and organic channels.

• Shape user journeys and support broader marketing strategy.

Analytics & Reporting

• Use GA4, GTM, HubSpot and Hotjar to track performance.

• Build dashboards, tagging frameworks and conversion reporting.

• Provide clear, actionable insights on spend and results.

Ownership & Collaboration

• Confidently work with senior stakeholders.

• Proactive, ideas-led and able to run with projects from day one.

What They’re Looking For

• ~5 years’ digital marketing experience.

• Strong technical skills in website management & analytics.

• Comfortable managing agencies and cross-functional teams.

• Experience with Contentful, GA4, GTM, HubSpot, Hotjar, A/B testing.

• Service-sector background helpful (healthcare not essential).

• Confident, data-driven, and hands-on.

Interview Process

• Stage 1: Remote

• Stage 2: In-person with senior marketing, product & tech

Find out more and apply via the link below.

To Apply for this Job Click Here

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SAS Marketing Analyst – 6-Month FTC | Up to £55,000 | London (Hybrid)
Start: ASAP (January start also possible)

A leading global marketing agency is looking for a SAS Marketing Analyst to join its Marketing Science team on a 6-month fixed-term contract, with strong potential to extend. You’ll work on one of the agency’s largest and most data-rich accounts, supporting a wide range of marketing, reporting, and customer insight projects.

What You’ll Do

• Deliver core MI and contractual marketing reports

• Support forecasting for marketing activity (campaign volumes, customer response, etc.)

• Conduct post-campaign analysis and segmentation work

• Produce profiling, targeting, and customer journey insights

• Respond to ad-hoc analytical questions

• Manipulate large datasets within a SAS/SQL environment

• Improve and streamline existing reporting

What We’re Looking For

Essential:

• Strong SAS programming experience

• Solid SQL skills (including SQL within SAS)

• Advanced Excel

• Power BI experience

• Background in marketing/CRM analytics (retail, telecoms, utilities, media, etc.)

The Environment

• Collaborative team of marketing analysts within a wider 50-person data & analytics function

• Hybrid working: 3 days per week in central London

• Exposure to one of the UK’s most complex and wide-reaching customer datasets

Interview Process

1. First stage: 1-hour video interview

2. Second stage: On-site interview + presentation task

Find out more and apply via the link below.

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Digital Product Insights Lead – Up to £80,000 + bonuses

Hybrid (3 days office-based – South East England / London area)
Full private medical | Modern data stack | AI-driven transformation

Are you an experienced insights leader who thrives at the intersection of digital analytics, data science, and commercial strategy?

Our client – a leading UK brand undergoing a major AI and digital transformation – is seeking a Digital Product Insights Lead to drive data-led decision-making across its digital channels, products, and customer journeys.

The Role

As the Digital Product Insights Lead, you’ll head up a small, talented team of analysts to deliver predictive and prescriptive insights that directly shape business strategy.
You’ll focus on understanding user behaviour across web and app journeys, optimising funnels, forecasting sales, and identifying retention opportunities through data.

This is a leadership role that combines strategic direction with enough hands-on capability to guide your team technically and commercially.

What You’ll Be Doing

• Lead insight generation across digital products, channels, and journeys.

• Deliver actionable, predictive insights to influence key business decisions.

• Oversee funnel and conversion analysis, forecasting, and behavioural segmentation.

• Analyse mobile app usage and retention, driving engagement and lifetime value.

• Partner with Data Science and Engineering teams to ensure data quality and readiness.

• Coach and mentor a team of analysts, fostering curiosity and innovation.

• Act as the bridge between data and business stakeholders, translating analytics into commercial outcomes.

Tech Environment

• Tools: SQL, GA4, BigQuery

• Languages: Python, R

• Environment: Modern data infrastructure with dedicated tagging and engineering support.

• No tagging work required – focus purely on insights and impact.

About You

• 5+ years’ experience in analytics, insights, or data science roles.

• Strong background in digital analytics, predictive modelling, or behavioural insights.

• Proven ability to translate data outputs into business actions.

• Experienced people leader with a track record of motivating high-performing teams.

• Energetic, proactive communicator who can engage technical and non-technical audiences alike.

• Passionate about leveraging AI and data to transform digital experiences.

Why Apply?

• Be at the forefront of an organisation investing heavily in AI and data innovation.

• Work within a modern analytics function with strong leadership and vision.

• Enjoy a financially secure, growing business with significant data investment.

• Play a pivotal role in shaping the next phase of digital and AI-driven insights.

Timeline: Interviews underway – target hire by end of January.

Package: £80,000 + up to 20% bonus + car allowance + full private medical.

If you’re ready to lead a team that turns digital data into real commercial impact, apply today!

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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.

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