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Senior Marketing Data Analyst

Amsterdam, Netherlands

€70,000 to €100,000 base salary plus bonus

This role stands out for its balance of hands on technical depth and real commercial impact. You will work in a highly autonomous analytics position where the focus is on building robust, modern data solutions rather than maintaining legacy reporting. It is a strong opportunity if you want to deepen your technical capability while staying close to the business decisions your work supports.

The Company

They are a large, digitally driven organisation operating in a complex commercial environment with a strong focus on data informed decision making. Analytics plays a critical role across multiple business areas, with teams embedded close to stakeholders. The culture values practical problem solving, ownership, and continuous improvement in how data is used across the organisation.

The Role

You will sit within a commercial analytics domain, working closely with both analytics peers and technically minded business stakeholders. The role combines delivery focused analytics with building foundations where no mature analytics pipeline yet exists.

• Transform and combine multiple data sources from pipelines, data lakes and standard tables
• Analyse and interpret marketing and commercial data to drive deeper understanding rather than surface level reporting
• Build and migrate analytics pipelines and contribute to improvements in underlying data tooling
• Deliver analytics outputs to fixed deadlines while adapting to changing business needs
• Ensure data quality, reliability and consistency across analytical outputs
• Work office first, typically splitting time between the analytics team and the supported business team

Your Skills & Experience

• Strong Python coding capability used in analytics or data environments
• Someone who has a focus on Marketing projects
• Also marketplace experience preferred
• Solid SQL skills and comfort working with complex datasets
• Fundamental technical data skills and a modern analytics mindset
• Experience combining multiple data sources and working close to raw data
• Ability to translate technical findings into clear business insights
• Comfortable working without a fully established analytics pipeline
• Proactive, self directed and confident working with technical peers

Desirable experience includes PySpark, Tableau or Looker exposure, and applied use of AI within analytics workflows.

What They Offer

• Base salary between €70,000 and €100,000 including holiday allowance
• Office first working model based in Amsterdam
• Visa sponsorship available
• High autonomy and the chance to shape analytics direction
• Clear scope to grow technical depth and influence in a business critical role

How to Apply

Apply now to explore this opportunity further and discuss how your technical analytics experience could make an impact.

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Senior Collections Analytics Manager
London
£90,000 to £120,000 plus benefits.

This is a high impact opportunity to take ownership of a critical area within a fast growing, data led business. You will shape collections and recoveries strategy, influence core commercial outcomes, and partner directly with senior leadership. With strong backing, proven profitability, and international expansion underway, this role offers both immediate impact and long term career growth.

The Company
They are a high growth, data driven organisation focused on delivering innovative financial solutions to both consumers and businesses. With a strong emphasis on sustainability and responsible business practices, they are building a scalable model supported by leading institutional investors. Having recently achieved profitability, they are now entering a new phase of growth, expanding internationally and strengthening their analytics capability. The team attracts talent from leading fintech and data environments and places analytics at the centre of decision making.

The Role
You will lead strategy and analytics across collections and recoveries, owning performance and driving continuous improvement through data.

• Develop and optimise collections and recoveries strategies to improve performance and unit economics
• Use advanced SQL to interrogate complex, multi source datasets and identify actionable insights
• Partner with operations, finance, product, and engineering teams to deliver data driven solutions
• Own key initiatives across customer journeys, operational processes, and partner strategy
• Translate analysis into clear recommendations that influence senior stakeholders
• Manage and develop a direct report while contributing to the wider analytics function
• Support broader strategic projects across both consumer and business segments

Your Skills and Experience

• Strong commercial experience in collections, credit risk, lending, or related analytics environments
• Advanced SQL capability, with confidence working directly with complex and varied data sources
• Proven track record of using data to drive decision making and measurable business outcomes
• Experience balancing commercial trade offs across multiple stakeholders
• Comfortable working cross functionally in a fast paced environment
• Exposure to Python or similar tools is beneficial but not essential
• Experience within fintech, financial services, or other data rich industries is advantageous

What They Offer

• Salary of £90,000 to £120,000
• Hybrid working, typically three days per week in the London office
• Opportunity to work with a high calibre leadership team in a scaling business
• Strong career progression within a growing analytics function
• Exposure to high impact, strategic work across multiple markets
• Competitive benefits package including equity potenti

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SENIOR CREDIT RISK ANALYST

UP TO £60,000-£75,000 PLUS BONUS

LONDON

HYBRID WORKING (2-3 DAYS PER WEEK IN-OFFICE)

Are you looking for an exciting opportunity to join a high-growth, data-led fintech where you can take real ownership of credit strategy and drive commercial impact? This role offers the chance to lead on key lending decisions, working across products to optimise performance through advanced analytics and strategic insight.

THE COMPANY

This organisation is a well-established UK-based digital bank and lending provider, known for its strong growth, customer-centric approach, and innovative use of data. With a broad suite of lending products, they invest heavily in advanced analytics, technology, and data science to stay ahead in the market.

THE ROLE

This role sits within a central credit strategy function, supporting key lending products through data-driven decision-making. You will work on building and optimising credit strategies, influencing business performance, and collaborating cross-functionally.

Specifically, you can expect to be involved in the following:

• Designing and optimising credit strategies and decisioning processes
• Analysing large datasets to identify trends and opportunities for performance improvement
• Developing models and forecasts to support lending, pricing, and commercial decisions
• Partnering with product, data science, and engineering teams to implement strategies
• Monitoring portfolio performance and recommending data-led enhancements

SKILLS AND EXPERIENCE

The successful Senior Credit Risk Analyst will have the following skills and experience:

• Experience in credit risk analytics within consumer lending
• Strong SQL and/or Python skills for data manipulation and analysis
• Ability to interpret data and communicate insights clearly to stakeholders
• Experience working with credit strategy, policy, or decisioning frameworks
• Strong problem-solving skills with a structured and analytical approach

BENEFITS

The successful Senior Credit Risk Analyst will receive a salary up to £60,000-£75,000 as well as a comprehensive benefits package.

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CRM Manager
Up to 48k
3 Days In London (Hybrid)

This is an exciting opportunity to shape how a large digital media business engages with its subscriber base at critical payment and renewal moments. You will play a key role in reducing churn, improving payment success rates, and delivering seamless customer experiences through data-led CRM strategies.

The Company
They are a well-established, consumer-focused organisation operating at scale, with a strong emphasis on digital innovation and customer experience. Their subscription-led model puts CRM and lifecycle engagement at the centre of commercial success. Working cross-functionally across product, marketing, and data teams, they are continually evolving their approach to customer retention and billing communications. The business offers a collaborative environment with strong investment in data-driven decision making.

The Role

• Own and optimise the end-to-end CRM strategy for payment and renewal communications
• Design and deliver cross-channel lifecycle campaigns to support subscription retention
• Build automated journeys to manage failed payments and reduce involuntary churn
• Segment users based on behaviour, billing data, and risk profiles to deliver targeted messaging
• Work closely with product and engineering teams to ensure accurate, real-time data triggers
• Analyse performance metrics such as payment success rates and campaign effectiveness
• Run ongoing A/B testing to improve messaging, timing, and channel performance

Your Skills and Experience

• Commercial experience in CRM, lifecycle, or retention marketing within a subscription-based environment
• Hands-on experience with CRM platforms such as Salesforce Marketing Cloud, Braze, Adobe, or similar
• Strong understanding of customer journeys, automation, and segmentation strategies
• Ability to work with billing or transactional data to inform campaign decisions
• Experience collaborating with cross-functional stakeholders across marketing, product, and data
• Analytical mindset with the ability to translate insights into actionable improvements

What They Offer

• Competitive salary package with performance-related benefits
• Hybrid working model with a collaborative office environment in London
• Access to learning and development resources to support career progression
• Comprehensive benefits including wellbeing support, pension contributions, and lifestyle perks
• Opportunity to make a measurable impact within a high-volume, subscription-led business

How to Apply
If you are interested in building impactful CRM strategies within a subscription environment, apply now to learn more.

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Marketing Analyst
Swindon – Hybrid
Up to 50k

This is an opportunity to join a data driven, consumer focused business where marketing decisions are led by experimentation and customer insight. The role stands out for its strong focus on segmentation, testing strategy, and improving customer lifetime value across both digital and offline channels.

The Company
They are a well established organisation operating across multiple customer touchpoints, combining digital and physical experiences. Their marketing function is highly collaborative, with a clear emphasis on data led decision making and continuous optimisation. They are investing in advanced analytics capabilities to better understand customer behaviour and drive sustainable growth. The environment is fast paced, commercially focused, and centred around measurable impact.

The Role
You will work closely with marketing and CRM teams to drive performance through experimentation, audience strategy, and deep customer analysis.

• Develop and refine customer segmentation to improve targeting and personalisation across acquisition and CRM
• Design, run, and evaluate experiments to optimise campaigns, messaging, and audience strategies
• Build frameworks to measure incrementality and understand true marketing impact
• Analyse customer behaviour across the lifecycle to identify opportunities to increase retention, frequency, and value
• Identify high value customer segments and support strategies that maximise customer lifetime value
• Partner with channel teams to optimise performance across paid media and CRM
• Use SQL to analyse large datasets and generate actionable insights
• Translate complex results into clear recommendations that influence marketing decisions

Your Skills and Experience

• Strong commercial experience in marketing or customer analytics
• Expertise in customer segmentation
• Experience designing and evaluating experiments, including A/B testing and incrementality
• Solid understanding of customer lifetime value and lifecycle strategy
• Proficiency in SQL
• Desired experience using Python or R for analysis
• Experience working with marketing data across channels such as paid media and CRM
• Ability to communicate insights clearly to both technical and non technical audiences
• A proactive, test and learn mindset with strong attention to detail

What They Offer

• 3 days in office in Swindon
• Opportunity to shape experimentation and segmentation strategy within a growing analytics function
• Progression opportunities within a data led business

How to Apply
If you are interested in applying, please submit your CV to learn more about this opportunity.

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Web Implementation Analyst – Adobe
London (Hybrid)
Up to 50k

The Company
They are a global digital platform operating at scale across multiple markets, supporting high volume consumer transactions and complex user journeys. With a well established customer base and strong backing, they are investing heavily in their data and product capabilities. Their data function is expanding, with a clear roadmap focused on improving data accuracy, modernising infrastructure, and enabling better decision making across the business.

The Role
You will take ownership of web analytics implementation and data layer design within a complex digital environment, supporting a wider transformation programme.

• Lead the design and management of the data layer across multiple web and app products
• Implement and maintain tracking using Adobe Analytics, Adobe Launch, and associated tools
• Ensure accuracy, consistency, and governance across all data collection processes
• Work closely with Product, Martech, and Engineering to deliver robust instrumentation
• Debug and optimise tagging and tracking performance
• Support marketing attribution and reporting through reliable data foundations
• Contribute to a broader migration to a modern analytics stack

Your Skills and Experience

• Strong commercial experience in web analytics implementation and instrumentation
• Hands on expertise with Adobe Analytics, including modern implementations
• Solid JavaScript skills, particularly in relation to tracking and tagging
• Experience designing and managing data layers within complex digital products
• Strong understanding of tag management, debugging, and QA processes
• Comfortable working in evolving or legacy environments and driving improvements
• Effective stakeholder management and ability to work cross functionally

Desirable experience includes exposure to tools such as GA4, RudderStack, consent management platforms, BI tools, or server side tracking approaches.

What They Offer

• Hybrid working in London
• Opportunity to shape a large scale analytics transformation programme
• Exposure to modern tracking technologies and future state architecture
• A growing data function with clear progression opportunities
• Collaborative environment across product, engineering, and data teams

How to Apply
If you are interested in this Web Analytics Engineer role in London, please apply with your CV or get in touch for more details.

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Title: Data Architect
Location: US Remote
Pay: $200k – $230k Base (No Bonus)

Overview:
An innovative, high-growth organisation is seeking a Data Architect to drive advanced analytics and machine learning initiatives across multiple business domains. This role focuses on building scalable data solutions, deploying predictive models, and enabling data-driven decision-making in a collaborative, cloud-first environment.

Responsibilities:

• Design, develop, and deploy predictive and prescriptive models across domains such as customer behaviour, operations, and personalisation
• Apply machine learning, deep learning, and statistical methods to solve complex business challenges
• Lead experimentation initiatives including A/B and multivariate testing, as well as causal inference analysis
• Analyse large, complex datasets to generate insights and inform strategic recommendations
• Communicate technical findings clearly to both technical and non-technical stakeholders
• Collaborate with product managers and cross-functional teams to define data science initiatives
• Partner with engineering teams to build scalable, data-driven applications
• Mentor junior team members and contribute to best practices, tools, and reusable frameworks

Must Have Qualifications:

• 7-10+ years of experience in data science, applied machine learning, or statistics
• Strong proficiency in Python or R, including libraries such as scikit-learn, TensorFlow, or PyTorch
• Hands-on expertise with AWS and cloud-based AI/data platforms
• Experience building and deploying Data Mesh architectures
• Proven ability to productionise models using APIs, pipelines, or ML frameworks
• Experience with tools such as Databricks, SageMaker, and Snowflake

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Senior Engineer (AI)
£90,000 – £110,000 + benefits
London (Hybrid)
This is a great opportunity to join a high‑growth, PE‑backed organisation where you can take ownership of building and scaling an AI‑native data platform from the ground up.

THE COMPANY:

The group’s mission is to unify their businesses into a single, powerful data platform, creating comprehensive global datasets. With strong funding and a clear acquisition strategy, they are building a category‑defining B2B data business.

THE ROLE:

You will take ownership of building and rapidly iterating on core platform features as part of a highly agile engineering team. Key responsibilities include:

• Developing and shipping working prototypes within days
• Building and improving data platform components and internal tools
• Turning complex data assets into user‑ready products
• Collaborating with senior engineers and leadership on architecture decisions
• Helping modernise and scale early‑stage prototypes into production systems

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Strong experience in Python, SQL, and TypeScript
• Hands‑on software engineering experience
• Proven ability to build and deliver products quickly in fast‑paced environments
• Experience working with data‑heavy systems or platforms
• Solid understanding of modern engineering practices

THE BENEFITS:

You will receive a salary of £90,000 – £150,000 depending on experience, along with a comprehensive benefits package and the opportunity to shape a high‑impact AI platform from day one.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Head of AI Engineering
£150,000 – £200,000 + benefits
London (Hybrid)
This is a great opportunity to join a high‑growth, PE‑backed organisation where you can take ownership of building and scaling an AI‑native data platform from the ground up.

THE COMPANY:

The group’s mission is to unify their businesses into a single, powerful data platform, creating comprehensive global datasets. With strong funding and a clear acquisition strategy, they are building a category‑defining B2B data business.

THE ROLE:

You will take ownership of leading AI engineering efforts across the platform, operating as both a hands‑on builder and technical leader. Key responsibilities include:

• Designing and building an AI‑native data platform from scratch
• Shipping AI agents and production‑ready solutions at pace
• Setting engineering standards and best practices for AI development
• Working closely with the founder and leadership team, including board‑level exposure
• Scaling and mentoring a high‑performing AI engineering team

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Expertise in Python, SQL, and TypeScript
• Proven experience building AI/ML systems in production environments
• Strong understanding of hybrid software + data engineering challenges
• Experience working at scale with complex datasets or platforms

THE BENEFITS:

You will receive a salary of £150,000 – £200,000 depending on experience, along with a comprehensive benefits package and the opportunity to shape a high‑impact AI platform from day one.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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