Senior Data Analyst
Amsterdam / €70000 - €100000 annum
INFO
SALARY:
€70000 - €100000
LOCATION
Amsterdam
Permanent
Senior Data Analyst
Amsterdam, Netherlands - hybrid
€70,000 to €100,000
This is an opportunity to step into a highly technical analytics role where you can shape how data is used within a commercially driven environment. You will move beyond surface level reporting and play a key role in building deeper analytical capability, working closely with both business and technical stakeholders.
The Company
They are a well established digital organisation operating at scale, supporting millions of users across a sophisticated online platform. With a strong focus on data driven decision making, they are investing in modernising their analytics approach and building out technical capability across their teams.
You will join a collaborative analytics function embedded within cross functional teams, where data is central to product, marketing and commercial strategy. The environment is fast paced, delivery focused and offers strong autonomy.
The Role
You will work across business and analytics teams to transform how data is leveraged, combining technical delivery with commercial insight. Responsibilities include:
- Building and analysing datasets from multiple sources including pipelines, data lake and structured tables
- Developing and maintaining analytical workflows using Python, SQL and distributed data tools
- Supporting marketing and commercial analytics through deeper, technically robust analysis
- Ensuring data quality and reliability in an evolving analytics environment
- Contributing to the migration and improvement of data pipelines and internal tools
- Partnering with technical stakeholders to deliver insights that drive measurable business impact
- Working to defined deadlines while maintaining flexibility in delivery
Your Skills and Experience
- Strong Python coding capability for data analysis and manipulation
- Advanced SQL skills with experience working on complex datasets
- Solid foundation in technical data analytics, not limited to reporting
- Experience combining and managing multiple data sources in production environments
- Comfortable working in environments without fully mature analytics pipelines
- Ability to translate analytical outcomes into clear business insights
- Proactive, self directed approach with strong ownership of work
Desirable:
- Experience with PySpark or distributed data processing frameworks
- Exposure to Tableau or Looker for visualisation
- Interest or experience in applying AI within analytics workflows
What They Offer
- High autonomy with the opportunity to shape technical direction
- Exposure to complex, business critical analytics challenges
- A role designed to deepen your technical expertise while maintaining commercial impact
- A collaborative environment with strong growth potential
How to Apply
If you are interested in this Data Analyst role in Amsterdam, apply with your CV to start the conversation.
CONTACT
Kai Qamar
Recruitment Consultant
SIMILAR
JOB RESULTS
Data Scientist
London
£55000 - £65000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Data Scientist
London – hybrid 2x per week
Up to £65,000
This is a strong opportunity for a Data Scientist to join a well-established data and analytics consultancy, working at the intersection of advanced analytics, proprietary data, and real-world commercial impact. You will play a key role in delivering end-to-end data science solutions while gaining exposure to a variety of industries and high-impact use cases.
The Company
They are a leading data and analytics consultancy that combines proprietary datasets with advanced modelling and analytics expertise. They deliver both bespoke consulting solutions and scalable data products to a broad client base. Their work primarily supports organisations in utilities, telecommunications, financial services, and the not-for-profit sector, with a focus on predictive modelling and customer insight. They offer a collaborative and project-driven environment with strong technical capability.
The Role
- Build and deploy predictive models, particularly focused on propensity and customer behaviour modelling
- Translate business challenges into analytical approaches through stakeholder engagement and data discovery
- Work closely with project managers, subject matter experts, and data analysts to deliver client solutions
- Run data discovery sessions and present findings back to both technical and non-technical stakeholders
- Develop segmentation models and scorecards to optimise customer engagement and decision making
- Contribute to the design and development of scalable data products and analytical solutions
- Continuously refine and retrain models to improve performance and relevance
Your Skills and Experience
- Strong commercial experience in data science or advanced analytics
- Proficiency in Python and SQL for data manipulation, analysis, and modelling
- Experience working with large and complex datasets, such as transactional or behavioural data
- Good understanding of data modelling concepts and feature engineering techniques
- Exposure to cloud platforms, ideally Azure, and experience with Databricks is beneficial
- Confident communicating insights to stakeholders and presenting to clients
- Experience working in a consultancy or client facing environment is advantageous
What They Offer
- Exposure to a wide range of industries and use cases
- Opportunity to work with modern data platforms and advanced analytics tooling
- Collaborative team environment with clear opportunities for learning and progression
How to Apply
If you are interested in this Data Scientist role, please submit your CV to find out more.
To Apply for this Job Click Here
Senior Data Analyst
Amsterdam
€70000 - €100000
+ Advanced Analytics & Marketing Insights
PermanentAmsterdam, North Holland
To Apply for this Job Click Here
Senior Data Analyst
Amsterdam, Netherlands – hybrid
€70,000 to €100,000
This is an opportunity to step into a highly technical analytics role where you can shape how data is used within a commercially driven environment. You will move beyond surface level reporting and play a key role in building deeper analytical capability, working closely with both business and technical stakeholders.
The Company
They are a well established digital organisation operating at scale, supporting millions of users across a sophisticated online platform. With a strong focus on data driven decision making, they are investing in modernising their analytics approach and building out technical capability across their teams.
You will join a collaborative analytics function embedded within cross functional teams, where data is central to product, marketing and commercial strategy. The environment is fast paced, delivery focused and offers strong autonomy.
The Role
You will work across business and analytics teams to transform how data is leveraged, combining technical delivery with commercial insight. Responsibilities include:
- Building and analysing datasets from multiple sources including pipelines, data lake and structured tables
- Developing and maintaining analytical workflows using Python, SQL and distributed data tools
- Supporting marketing and commercial analytics through deeper, technically robust analysis
- Ensuring data quality and reliability in an evolving analytics environment
- Contributing to the migration and improvement of data pipelines and internal tools
- Partnering with technical stakeholders to deliver insights that drive measurable business impact
- Working to defined deadlines while maintaining flexibility in delivery
Your Skills and Experience
- Strong Python coding capability for data analysis and manipulation
- Advanced SQL skills with experience working on complex datasets
- Solid foundation in technical data analytics, not limited to reporting
- Experience combining and managing multiple data sources in production environments
- Comfortable working in environments without fully mature analytics pipelines
- Ability to translate analytical outcomes into clear business insights
- Proactive, self directed approach with strong ownership of work
Desirable:
- Experience with PySpark or distributed data processing frameworks
- Exposure to Tableau or Looker for visualisation
- Interest or experience in applying AI within analytics workflows
What They Offer
- High autonomy with the opportunity to shape technical direction
- Exposure to complex, business critical analytics challenges
- A role designed to deepen your technical expertise while maintaining commercial impact
- A collaborative environment with strong growth potential
How to Apply
If you are interested in this Data Analyst role in Amsterdam, apply with your CV to start the conversation.
To Apply for this Job Click Here
Senior GenAI Full Stack Engineer
London
£500 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Senior GenAI Full Stack Engineer
London or Norwich
3 Days in Office
Inside IR35
£500 – £700 Per Day
Start Immediately
The Company
They are a large, well-established organisation investing heavily in AI and data capabilities to transform how they serve customers and operate internally. Their technology environment is modern and cloud-first, with a strong focus on building production-ready, enterprise-grade AI systems. Teams are highly collaborative, bringing together engineering, product, and business stakeholders to deliver measurable outcomes. This is a chance to contribute to a growing AI ecosystem supported by dedicated platforms and tooling.
The Role and Deliverables
- Design, build, and deploy full stack AI applications that integrate generative AI services into real-world use cases
- Develop backend services and microservices using cloud-native architectures, ensuring performance and scalability
- Build and enhance frontend interfaces that enable intuitive AI-driven user experiences
- Integrate LLMs, RAG pipelines, and AI services into applications using API-led and event-driven approaches
- Take ownership of end-to-end delivery, including development, CI/CD, deployment, and ongoing optimisation
- Implement observability, monitoring, and logging to support reliable production AI systems
Your Skills & Experience
- Strong software engineering experience across both backend and frontend development
- Proven capability building production-grade applications with embedded AI functionality
- Backend development skills using Python and experience working with distributed or microservice systems
- Frontend development experience with modern frameworks such as React, Next.js, and TypeScript
- Experience designing and integrating AI systems, including LLMs, RAG, and prompt-driven workflows
- Strong understanding of cloud platforms, particularly AWS, and deploying applications using containerisation tools such as Docker and Kubernetes
- Experience working with APIs, including REST and event-driven architectures
- Solid understanding of non-functional requirements such as scalability, security, performance, and observability
How to Apply
If you are interested in building full stack AI systems that deliver real-world impact, please apply with your CV.
To Apply for this Job Click Here
Product Engineer
London
£300 - £480
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Product Engineer (Contract) London
Fully Remote
Outside IR35
£300 – £480 Per Day
Immediate Start
The Company
They are a digital-first organisation operating at the intersection of data, technology and content. Their data team has evolved from a traditional analytics and reporting function into a product-led capability, focused on building scalable internal tools. They work across multiple business areas, supporting growth through data-driven insights and increasingly through AI-powered solutions. The team is collaborative, pragmatic and focused on delivering real impact.
The Role and Deliverables
- Develop and enhance a centralised data intelligence platform, including dashboards and analytics applications
- Build and expand a unified data layer, creating connectors for external platforms and APIs
- Deliver AI-supported data enrichment pipelines and datasets
- Own product development end-to-end, from discovery and prototyping through to deployment and iteration
- Collaborate with stakeholders to understand workflows, identify pain points and translate them into solutions
- Build, test and deploy applications within a GCP environment using a lean, hypothesis-driven approach
Your Skills & Experience
- Strong full-stack engineering capability with a product-focused mindset
- Experience translating stakeholder needs into impactful, production-ready features
- Proven track record of owning products from concept through to deployment and iteration
- Strong expertise in Python and Next.js
- Experience working within GCP environments, including CI/CD and deployment
- Confident communicator, able to work closely with technical and non-technical stakeholders
- Comfortable working autonomously in a fast-paced, evolving environment
- Experience with AI-assisted development tools or building internal tools is highly valuable
How to Apply
If you are a product-minded engineer who enjoys building impactful tools and working closely with stakeholders, apply to learn more about this contract opportunity.
To Apply for this Job Click Here
Senior Tech Lead
London
£700 - £800
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Senior AI Tech Lead
London
Inside IR35
£700 – £800 Per Day
3 Days On Site
The Company
They are a large, internationally operating organisation undergoing a significant AI-driven transformation across their technology landscape. With multiple operating entities and a strong focus on innovation, they are investing in reusable AI products and scalable machine learning platforms to support long-term growth. Their environment is complex and highly collaborative, bringing together engineering, data, and product teams at scale. They are committed to building enterprise-grade AI capabilities that can be adopted across different parts of the business.
The Role and Deliverables
- Lead the technical design and strategy for AI and ML platforms within a key domain
- Develop reusable AI products that can be scaled across multiple business units
- Guide engineering teams to deliver consistent, enterprise-grade solutions with strong architectural foundations
- Assess the feasibility of new AI initiatives and define efficient approaches to deliver early value
- Establish and maintain governance processes for technical decision-making, ensuring compliance with standards and best practices
- Evaluate emerging AI technologies and model cost-benefit trade-offs to inform strategic decisions
Your Skills & Experience
- Strong experience providing hands-on technical leadership across complex engineering environments
- Proven capability in designing and delivering AI and machine learning solutions at scale
- Deep understanding of ML engineering practices, including MLOps, CI/CD pipelines, and model deployment
- Experience working with cloud platforms and building scalable, production-grade systems
- Ability to translate complex technical concepts into clear recommendations for senior stakeholders
- Strong collaboration and communication skills, with experience working across multiple teams and functions
How to Apply
If you are an experienced AI Tech Lead looking to deliver impactful, enterprise-level solutions, apply now to find out more.
To Apply for this Job Click Here
Forward Deployed Engineer
London
£500 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Forward Deployed Engineer
London
Outside IR35
Fully Remote
£500 – £650 Per Day
The Company
They are a cutting-edge technology organisation focused on delivering data-driven solutions to complex enterprise challenges. Their work sits at the forefront of data engineering, machine learning, and software development. They partner closely with clients to design, build, and deploy bespoke solutions in high-impact environments. With a strong emphasis on collaboration and innovation, they foster an environment where engineers can take ownership and drive meaningful outcomes.
The Role and Deliverables
- Work directly with client stakeholders to understand technical requirements and translate them into deployable solutions
- Design and build scalable data pipelines, applications, or ML-driven systems within client environments
- Deploy and integrate solutions into production systems, ensuring reliability and performance
- Debug, troubleshoot, and optimise systems in real time within live environments
- Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders
- Deliver high-quality, production-ready code and documentation within agreed timelines
Your Skills & Experience
- Strong experience in software engineering, data engineering, or a related technical field
- Proficiency in at least one programming language such as Python, Java, or similar
- Experience working with cloud platforms such as AWS, Azure, or GCP
- Ability to build and deploy scalable systems in production environments
- Strong problem-solving skills with the ability to work in ambiguous, fast-paced settings
- Excellent communication skills, with the ability to work closely with both technical and non-technical stakeholders
How to Apply
If you are interested in applying your engineering skills in a high-impact, client-facing environment, please apply with your CV.
To Apply for this Job Click Here
Salesforce Marketing Cloud Next Architect
City of London
£300 - £500
+ Digital Analytics
ContractCity of London, London
To Apply for this Job Click Here
Salesforce Marketing Cloud Next Architect (SFMC)
London, UK
This is a high-impact contract opportunity to shape a newly launched capability within Salesforce Marketing Cloud. You will play a key role in architecting and delivering solutions using Marketing Cloud Next, helping a B2B organisation accelerate its customer engagement and marketing innovation over a six-month project.
The Company
They are a well-established B2B organisation operating within the electricals sector, currently investing in modernising their marketing technology stack. With a strong focus on digital transformation, they are adopting the latest Salesforce capabilities to enhance customer journeys and improve campaign performance. The business is collaborative, delivery-focused, and committed to leveraging data and automation to drive growth.
The Role and Deliverables
- Lead the architecture and design of Salesforce Marketing Cloud solutions, including Marketing Cloud Next
- Define and implement scalable, future-proof marketing technology frameworks
- Collaborate with technical and non-technical stakeholders to translate business requirements into solutions
- Oversee integration of SFMC with wider systems and data sources
- Provide technical leadership across the project lifecycle, from design through to delivery
- Ensure best practice in data modelling, segmentation, and campaign execution
Your Skills & Experience
- Strong experience architecting solutions within Salesforce Marketing Cloud
- Exposure to or experience with Marketing Cloud Next or emerging SFMC capabilities
- Proven ability to design and deliver complex marketing automation solutions
- Experience working in B2B environments with a focus on customer engagement
- Strong stakeholder management skills, with the ability to influence technical and business audiences
- Expertise in data integration, customer data models, and marketing personalisation
How to Apply
If you are an experienced SFMC Architect ready to lead a forward-thinking project, please apply to discuss further.
To Apply for this Job Click Here
Research Manager – Political and Social
London
£50000 - £62000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Research Manager (Quantitative Research – Political & Social Insights)
Hybrid – London
Up to £62,000 + benefits
A fast-growing research and technology scale-up is looking for a Research Manager to join its expanding insights team. The business works at the intersection of data, technology, and behavioural science, delivering high-impact research for political, social, and commercial clients.
This is a fully client-facing role where you will take ownership of projects end-to-end, acting as the main point of contact from initial brief through to final delivery. You’ll be responsible for designing research, managing fieldwork, analysing data, and turning complex findings into clear, compelling insights.
Key responsibilities:
-
End-to-end ownership of quantitative research projects
-
Designing questionnaires and analysis specifications
-
Managing fieldwork and overseeing data quality
-
Producing insight-led reports and presentations
-
Leading client communications and relationship management
-
Supporting proposals and business development activity
-
Contributing to process improvement and mentoring junior team members
Project work includes political polling, social research for NGOs and think tanks, and commercial insight studies across a wide range of sectors. There is also increasing use of AI-enabled tools and innovative methodologies in research delivery.
What we’re looking for:
-
~4 years’ experience in social or political quantitative research
-
Strong experience in survey design, data analysis, and interpretation
-
Experience with political polling highly desirable
-
Confident client-facing and stakeholder management skills
-
Strong organisational ability across multiple projects
-
Experience producing data visualisations and insight outputs
-
R or Python experience beneficial but not essential
-
Interest in AI applications within research
The role offers full ownership of projects, exposure to high-profile clients, and the opportunity to work in a modern, tech-enabled research environment within a growing team.
Benefits include private healthcare, 25 days’ annual leave, and pension contribution.
Hybrid working: 4 days per week in the London office.
Find out more and apply via the link below!
To Apply for this Job Click Here
Product Analyst
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Product Analyst – £55,000 (Hybrid – London)
Industry: Consumer Marketplace / Mobile App
Department: Product & Insights
We’re looking for a Product Analyst to join a fast-growing consumer marketplace used by millions globally. You’ll work closely with product managers, designers, and engineers to uncover insights, shape user experiences, and drive commercial performance.
What You’ll Do
-
Analyse user behaviour and product performance across key journeys
-
Build dashboards and self-serve insights for cross-functional teams
-
Support A/B testing: design experiments, interpret results, recommend next steps
-
Work with data and platform teams to ensure clean, scalable datasets
-
Present clear, actionable insights that influence product strategy
What We’re Looking For
-
Strong SQL skills and experience working with large datasets
-
Comfortable using Python for product analytics
-
Experience with product experimentation / A-B testing
-
Familiarity with Looker, Tableau, or similar BI tools
-
Confident communicator who can simplify complex data for stakeholders
-
Curious, proactive, and thrives in a fast-paced product environment
Why Apply
-
Work on high-impact product features used by millions
-
Hybrid working, flexible culture, strong learning budget
-
Fast-growing environment with real ownership of analysis and experiments
Find out more and apply via the link below.
To Apply for this Job Click Here
Digital Marketing Manager – PPC & SEO
London
£40000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Digital Marketing Manager (PPC & SEO)
Remote (UK) | Monthly team meet-ups (travel & accommodation covered)
Up to £50,000
We’re partnering with a growing UK eCommerce business looking to bring its digital marketing expertise in-house. This is a hands-on role with ownership of PPC and SEO, offering the opportunity to shape the digital acquisition strategy and grow the function over time.
The Role
You’ll lead digital acquisition across paid search and organic channels, driving traffic, lead generation, and commercial performance.
Key areas:
-
Managing Google Ads and Performance Max campaigns
-
Leading SEO strategy across product categories
-
Improving conversion rates and campaign performance
-
Analytics, tracking and attribution
-
CRM integration and marketing reporting
-
Building a scalable digital growth roadmap
What We’re Looking For
-
Strong hands-on Google Ads and PPC experience
-
SEO experience within eCommerce or product-led businesses
-
Experience with analytics, tracking and attribution
-
Commercial mindset focused on ROI and lead generation
-
CRM/Salesforce integration experience
-
Server-side tracking (e.g. Stape) desirable
-
Construction, B2B or technical product experience beneficial
Why Join?
-
Fully remote role with monthly team meet-ups
-
Opportunity to own and shape the digital marketing function
-
Clear progression into a leadership position
-
Growing business investing heavily in digital growth
Interview Process
-
Two-stage interview process
Find out more and apply via the link below!
To Apply for this Job Click Here
Marketing Analyst – Fintech (12 month FTC)
London
£65000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
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!
To Apply for this Job Click Here
Senior Digital Product Analyst
London
£65000 - £80000
+ Digital Analytics
PermanentLondon
To Apply for this Job Click Here
Senior Digital Product Analyst
Location: London (1 day per week in the office)
Salary: Up to £80,000
Sponsorship: Not available
We’re working with a fast-growing B2B SaaS company looking for a Senior Digital Product Analyst to join their Product & Analytics team.
This is an opportunity to play a key role in shaping product decisions through data, partnering closely with Product, Design and Engineering teams to define success metrics, measure product performance and deliver actionable insights.
Key responsibilities:
- Lead GA4 implementation via Google Tag Manager, including data layer management.
- Analyse product performance and user behaviour using SQL.
- Manage GA4 data pipelines into Snowflake via GCP.
- Measure the impact of product releases through experimentation and A/B testing.
- Build dashboards and communicate insights to influence product strategy.
Key requirements:
- Strong product analytics experience within a SaaS business.
- Hands-on GA4 and Google Tag Manager implementation experience.
- SQL proficiency.
- Experience with Snowflake and GCP.
- Experience with a data visualisation tool (ThoughtSpot, Tableau, Power BI, Looker, etc.).
- Confident stakeholder management and strong commercial mindset.
This is a fantastic opportunity to join a collaborative, data-driven team where you’ll have real influence on product strategy and business performance.
To Apply for this Job Click Here
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