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Senior Marketing Data Analyst – Analytics, Marketing Science

London | Hybrid (3 days office / 2 WFH)

Up to £75,000 + benefits

We’re working with a leading customer experience and marketing analytics agency within a global network. The team delivers insight-led marketing effectiveness and customer analytics across a range of major client accounts.

The Role

This is a senior-level role focused on delivering insight, owning workstreams, and supporting junior analysts across multiple accounts.

Key areas:

• End-to-end campaign and customer journey analysis
• Marketing effectiveness and performance measurement
• Client-facing insight delivery and presentations
• Dashboard oversight and reporting quality
• Supporting strategic analytics across accounts

You’ll act as a key point of contact on projects, translating data into actionable commercial insight.

What We’re Looking For

• 3-5 years’ experience in marketing/digital analytics
• Strong SQL and/or Python
• Experience with GA4, Adobe Analytics or similar tools (essential)
• Strong stakeholder and client communication skills
• Experience mentoring or guiding junior analysts
• Agency experience required
• Strong understanding of segmentation, measurement, and customer analytics

Why Join?

• High-profile client exposure
• Strong focus on marketing effectiveness and customer insight
• Opportunity to lead delivery without formal line management
• Clear progression and account rotation

Interview Process

• Stage 1: Competency & experience interview
• Stage 2: In-person interview with presentation/task

Find out more and apply via the link below!

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Marketing Data Analyst – Marketing Analytics, Marketing Science

London | Hybrid (3 days office / 2 WFH)

Up to £60,000

We’re partnering with a customer experience and marketing analytics agency within a global advertising network. The team combines analytics, data science, and marketing effectiveness to help brands better understand and engage their customers.

The Role

You’ll support delivery of marketing and customer analytics across multiple client accounts, working closely with internal teams and stakeholders.

Key areas:

• Campaign performance and post-campaign analysis

• Customer journey and behavioural analysis

• Marketing effectiveness reporting

• Dashboard maintenance and reporting

• Insight delivery using GA4 and similar tools

What We’re Looking For

• 1-2 years’ experience in marketing or digital analytics

• Strong SQL and/or Python (either acceptable)

• Experience with GA4, Adobe Analytics or similar tools

• Basic data visualisation skills

• Degree in a quantitative subject (or equivalent experience)

• Agency/consultancy experience beneficial

• Curious, proactive, and comfortable in fast-paced environments

Why Join?

• Exposure to major brand clients

• Broad mix of marketing and customer analytics work

• Strong learning environment

• Opportunity to rotate across accounts

Interview Process

• Stage 1: Competency & experience interview

• Stage 2: In-person interview with task/presentation

Find out more and apply via the link below!

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Marketing Data Analyst – 12 month FTC

London – Hybrid (3 days office)
Up to £80,000 + benefits

We’re working with a FTSE 250 fintech operating a large-scale digital trading and investment platform. The business is fast-moving, data-driven, and heavily invested in analytics across marketing, product, and customer growth.

The Role

You’ll join a specialist analytics team focused on Performance Marketing, delivering insight to optimise acquisition, conversion, and campaign effectiveness.

Key areas:

• Performance marketing & campaign analysis
• A/B testing & experimentation
• Digital funnel & customer acquisition analysis
• Google Analytics reporting
• Stakeholder-facing insight & recommendations

What We’re Looking For

• Strong SQL (essential)
• Performance marketing / digital analytics experience
• A/B testing & experimentation exposure
• Google Analytics experience
• DBT exposure (nice to have)
• Tech, fintech or scale-up background preferred
• Strong communication & stakeholder skills

Why Join?

• FTSE 250 fintech environment
• Large-scale digital & customer datasets
• Strong investment in analytics
• High commercial impact & visibility

Interview Process

• Stage 1: Online SQL assessment (1 hour, Codility)
• Stage 2: Final interview (1 hour)

Find out more and apply via the link below!

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Overview

We are hiring a Senior ML Engineer / Applied Scientist to build and improve production machine learning systems that power real-time fraud and risk decisions at global scale.

This is a hands-on role focused on solving complex machine learning problems from first principles. You’ll work on models that influence millions of customer transactions, own experimentation end-to-end, and help shape the future of a rapidly growing fintech platform.

This is not a role for someone simply deploying pre-built models or integrating AI APIs. We are looking for candidates who can take an ambiguous business problem, design a solution, validate it scientifically, and deliver measurable impact in production.

What You’ll Do

Build and Improve Fraud Detection Models

• Design, develop, and deploy machine learning models used for real-time fraud detection
• Develop ensemble modeling approaches that improve decision quality and model performance
• Create new predictive features and signals from large-scale transaction data
• Improve fraud detection accuracy while maintaining a strong customer experience

Drive Experimentation and Model Innovation

• Design and execute machine learning experiments from hypothesis through deployment
• Build robust offline evaluation methodologies and validation frameworks
• Develop new approaches for measuring model effectiveness prior to production release
• Apply statistical methods to evaluate model improvements and business impact

Own ML Systems End-to-End

• Build and maintain scalable machine learning pipelines
• Work with distributed data processing systems using Spark
• Partner with Product, Engineering, and Risk teams to translate business challenges into technical solutions
• Own projects through the full ML life-cycle, from concept to production

What We’re Looking For

Required Experience

• 4+ years of experience developing machine learning solutions in production environments
• Strong proficiency in Python, SQL, and Spark
• Deep understanding of machine learning, statistics, and experimental design
• Experience building models from scratch rather than primarily consuming third-party AI services
• Strong knowledge of model evaluation methodologies and performance measurement
• Experience working with large-scale datasets in distributed environments
• Ability to own technical initiatives from ideation through deployment

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Marketing Data Analyst

London – Hybrid (3 days office)
Up to £80,000 + benefits

We’re working with a FTSE 250 fintech operating a large-scale digital trading and investment platform. The business is fast-moving, data-driven, and heavily invested in analytics across marketing, product, and customer growth.

The Role

You’ll join a specialist analytics team focused on Performance Marketing, delivering insight to optimise acquisition, conversion, and campaign effectiveness.

Key areas:

• Performance marketing & campaign analysis
• A/B testing & experimentation
• Digital funnel & customer acquisition analysis
• Google Analytics reporting
• Stakeholder-facing insight & recommendations

What We’re Looking For

• Strong SQL (essential)
• Performance marketing / digital analytics experience
• A/B testing & experimentation exposure
• Google Analytics experience
• DBT exposure (nice to have)
• Tech, fintech or scale-up background preferred
• Strong communication & stakeholder skills

Why Join?

• FTSE 250 fintech environment
• Large-scale digital & customer datasets
• Strong investment in analytics
• High commercial impact & visibility

Interview Process

• Stage 1: Online SQL assessment (1 hour, Codility)
• Stage 2: Final interview (1 hour)

Find out more and apply via the link below!

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Growth Analyst | Up to £80,000 | London (4 days office)

DTC Subscription Business

We are working with a fast-growing, venture-backed DTC subscription business in the consumer space, currently hiring a Growth Analyst to join their Acquisition and Product/Growth team.

The business is highly data-driven with analytics central to decision-making across Product, Marketing, and Finance. This is a commercially focused role where you will be expected to go beyond reporting and actively identify opportunities to improve acquisition, retention, and LTV.

The Role

You will take ownership of end-to-end growth analysis across the customer funnel, supporting experimentation and delivering insights that directly influence commercial decisions. The role sits in a fast-paced environment with highly analytical stakeholders.

Key Responsibilities

• Funnel analysis across acquisition, activation, retention and LTV
• Cohort, segmentation and customer lifecycle analysis
• Design and evaluation of A/B tests and experiments
• Build and maintain dashboards and KPI reporting
• Identify drivers of performance changes and growth opportunities
• Support marketing channel performance and optimisation
• Deliver actionable insights to senior stakeholders

Requirements

• Strong SQL skills and experience with a BI tool (Looker, Tableau, Power BI etc.)
• Experience in a consumer tech, subscription, marketplace or digital business
• Background in Growth, Product or Marketing Analytics
• Strong academic record with clear evidence of impact and progression
• Strong commercial mindset and stakeholder management skills
• Proactive, curious and comfortable working in ambiguity

Desirable

• Experience with A/B testing / experimentation
• Exposure to attribution or MMM
• Forecasting or opportunity sizing experience
• Python or advanced analytics skills

Process

• 30 min intro interview + 45 min founder interview (in-person)
• Take-home analysis task + SQL test (video interview)
• Final in-person interview focused on analytical thinking and execution

Find out more and apply via the link below!

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Digital Marketing Manager (PPC & SEO)
Remote (UK) with monthly meetups
Up to £50,000

This is an excellent opportunity to take ownership of a high-impact digital marketing function within a growing eCommerce-led business. You will play a key role in rebuilding and scaling paid search and SEO performance, with the autonomy to shape strategy and drive measurable commercial outcomes.

The Company
They are a UK-based online-first business operating within a specialist B2B and consumer-facing sector. Their platform brings together a wide range of products from multiple suppliers, creating a streamlined purchasing experience for customers. With a strong focus on digital growth, they are investing in in-house expertise to enhance performance marketing and drive long-term scalability. The business offers a collaborative, technology-enabled environment with access to strong internal data and analytics capabilities.

The Role
You will lead PPC and SEO strategy, taking ownership of performance and growth across key digital channels. Responsibilities include:

• Managing and optimising Google Ads activity, including Performance Max and Shopping campaigns
• Owning the development and execution of a scalable PPC strategy focused on revenue, ROAS and lead quality
• Leading SEO direction across product categories, working cross-functionally with content, development and product teams
• Improving attribution, tracking accuracy and data reliability using tools such as GA4 and server-side tracking
• Integrating CRM and tracking data into campaign optimisation and reporting
• Managing product feeds and platforms such as Google Merchant Centre and Search Console
• Analysing performance data to uncover insights and drive continuous improvement
• Delivering clear, commercially focused reporting aligned to profitability and growth objectives
• Acting as the internal subject matter expert, with scope to shape future team growth

Your Skills & Experience
You will bring strong hands-on experience across performance marketing and analytics, including:

• Proven capability managing PPC campaigns across Google Ads, including Search, Shopping and Performance Max
• Strong understanding of SEO strategy within product-led or eCommerce environments
• Experience optimising campaigns towards commercial outcomes such as revenue, profit and lead quality
• Solid analytics expertise, including GA4, attribution and conversion tracking
• Experience working with CRM or tracking data (e.g. Salesforce) to enhance performance
• Ability to manage product feeds and optimise large catalogues
• Strong analytical mindset with the ability to translate data into actionable insight
• Confidence working independently in a remote environment with ownership of results

What They Offer

• Private medical insurance and wellbeing support
• Enhanced family benefits and additional perks
• Clear progression into a leadership role as the function expands
• Opportunity to shape and build a high-performing digital marketing capability

How to Apply
If you are interested in this Digital Marketing Manager (PPC & SEO) role, please apply with your CV to discuss further.

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Senior CRO Developer

Location: London, Hybrid (2-3 days per week in office)
Salary: Up to £60,000
Sponsorship: Not available

Digital optimisation agency specialising in analytics, SEO and experimentation is looking for a Senior CRO Developer to join their growing team.

This is a key role within a fast-paced CRO function, building and deploying A/B tests across a range of client websites.

Role overview:

• Build and deploy A/B and multivariate tests for multiple clients

• Work closely with CRO and optimisation teams on experimentation delivery

• Support ongoing optimisation of conversion performance across client accounts

• Occasionally client-facing to support technical delivery discussions

• Work as part of a small CRO development team, taking ownership of builds

Key requirements:

• Strong experience in CRO / experimentation development (agency experience preferred)

• Hands-on experience with tools such as Optimizely, VWO or similar

• Comfortable working in a high-output environment (c. 20 tests per month expectation)

• Strong technical understanding of web development and testing frameworks

• Ability to work independently and manage workload across multiple clients

Fast-growing, award-winning agency offering strong exposure to experimentation at scale and a high-performance optimisation environment.

Find out more and apply via the link below!

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Senior Marketing Manager

Location: London (Hybrid – 2 days per week in office)
Salary: Up to £65,000 + bonus (c. £70,000 OTE)
Sponsorship: Not available

Global education business looking for a Senior Marketing Manager to lead pan-destination marketing strategy and campaigns across international markets.

Role overview:

• Own and deliver multi-market marketing strategy and campaigns

• Develop customer journey frameworks and messaging

• Lead integrated campaigns across multiple channels and regions

• Work closely with cross-functional teams to drive performance and consistency

• Use data and insight to optimise campaign performance

Requirements:

• 5+ years marketing experience in a fast-paced environment

• Strong experience delivering integrated campaigns

• Hands-on and strategic mindset

• Strong stakeholder management skills

• Data-driven approach

High-impact role with ownership of international marketing strategy and execution.

Find out more and apply via the link below!

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SEO Manager

Location: London (Hybrid – 3 days in the office)
Salary: Up to £60,000 + bonus

Sponsorship: Not available

We’re partnering with a well-known retail brand to hire an SEO Manager to own and drive its organic search strategy across multiple eCommerce websites.

This is a unique opportunity to build and shape an in-house SEO function, taking ownership of both strategy and execution while influencing key stakeholders across Digital, eCommerce and Technology.

Key responsibilities:

• Own and deliver the organic search strategy across multiple websites.

• Lead technical SEO, on-page optimisation, keyword research and site audits.

• Monitor rankings, traffic and organic revenue, identifying growth opportunities.

• Work closely with Content, Digital and Development teams to implement SEO best practices.

• Stay ahead of Google algorithm updates, AI search and emerging GEO trends, translating changes into clear business actions.

What we’re looking for:

• Strong in-house SEO experience, ideally within eCommerce or retail.

• A broad SEO skillset across technical, on-page and content optimisation.

• Commercial mindset with the ability to influence stakeholders and drive change.

• An interest in AI search, LLMs and the future of organic search (GEO).

• Confident communicator who enjoys taking ownership and making an impact.

This is a fantastic opportunity to join a business investing heavily in digital growth, where you’ll have the autonomy to build the SEO roadmap and make a genuine commercial impact from day one.

Find out more and apply via the link below!

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Staff Data Scientist (Product)

Location: Remote

Salary: $190-220k

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role embedded in their product organization. This is for someone who combines deep statistical expertise with the ability to influence how an entire company makes decisions – not just someone who runs experiments, but someone who builds the culture and infrastructure around them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focused on high-leverage product questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to measure the real impact of product changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to meaningful business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of Product Data, acting as a strategic thought partner across Product, Engineering, Finance, Design, and Product Marketing. The company is at an inflection point in how it uses data to make product decisions, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still developing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

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Staff Data Platform Engineer

US Remote

$200-245k base + Equity

We’re working with a rapidly expanding consumer tech startup that recently raised $125M in Series D funding. As they continue to scale, they’re looking to hire a Staff Data Engineer to join their growing data team. If you have a strong foundation in software engineering, a collaborative mindset, and a passion for driving data strategy, this is the opportunity for you!

The Role:
As a Staff Data Engineer, you’ll be a crucial part of the team, ensuring data is accessible, reliable, and actionable across the company. Working alongside engineers, data scientists, and business teams, you’ll help build scalable data platforms that drive key business initiatives and enable data-driven decision-making.

What You’ll Do:

• Collaborate with engineering, data science, and business teams to understand data needs and implement effective solutions aligned with business objectives.
• Design and build scalable data infrastructure and pipelines to handle high volumes of data as the company grows.
• Lead the design and optimization of data architecture, ensuring it’s secure, high-performing, and scalable.
• Improve and streamline data pipelines to provide fast, reliable access to high-quality data.
• Contribute to the design of reporting frameworks and analytics tools that empower teams to make data-driven decisions.
• Work with security teams to ensure data privacy and compliance standards are met.
• Mentor junior engineers, share expertise, and promote best practices across the team.
• Stay updated on new technologies and suggest improvements to enhance processes and tool efficiency.

You’re a Great Fit If:

• You have 7+ years of experience in data engineering.
• You’ve worked at a leading consumer tech company known for engineering excellence.
• You’re an expert in SQL, Python, and data platform development.
• Nice-to-have: Familiarity with AWS, Kubernetes, Redshift, Athena, S3, and Airflow.
• You have hands-on experience with complex data infrastructures and optimizing data pipelines.
• You’ve led large-scale data projects that had a significant impact on your organization.
• You thrive in collaborative environments and have strong communication skills.
• You have an ownership mindset and take responsibility for delivering results.

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