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Marketing Data Analyst
London | £80,000 + Benefits | Hybrid (3 days in office) | 12-13 month FTC
This is a unique opportunity to join a highly regarded digital-first business in a role focused on marketing and customer analytics. Sitting within an established analytics function, you will work closely with performance marketing stakeholders to drive insight, optimise campaigns and influence commercial decisions. The role offers strong exposure to senior stakeholders and the chance to work with large-scale customer data in a fast-moving environment.
The Company
They are a global, technology-led business with a strong digital presence and a long-standing reputation for innovation. With a large and diverse customer base, they generate significant volumes of behavioural and marketing data that underpin decision making across the organisation. Data and analytics are central to their strategy, with continued investment in tools, people and capability. The business offers a collaborative and fast-paced culture, distinct from traditional organisations in its sector.
The Role

• Analyse marketing campaign performance across digital channels to deliver actionable insights
• Support customer acquisition, retention and engagement strategies through data-driven recommendations
• Partner closely with performance marketing teams to optimise campaigns and improve ROI
• Design and evaluate A/B tests and experimentation frameworks
• Build dashboards and automate reporting to enable self-service analytics
• Act as a key point of contact for marketing analytics, supporting stakeholders with data-driven decision making
• Collaborate with product, engineering and analytics teams to improve data capabilities

Your Skills & Experience

• Strong SQL capability, including experience working with large datasets
• Commercial experience in marketing analytics, particularly digital performance marketing
• Hands-on experience with A/B testing and experimentation
• Familiarity with tools such as Google Analytics or similar web analytics platforms
• Ability to translate data into clear insights for non-technical stakeholders
• Experience working in a technology-led, digital or high-growth environment
• Exposure to modern data tools such as DBT is beneficial but not essential

What They Offer

• Salary of £80,000
• 12 percent flexible benefits allowance
• Hybrid working with three days per week in the office
• Modern central London office location
• Opportunity to influence senior stakeholders and shape marketing analytics strategy
• Exposure to a growing analytics function with potential longer-term opportunities

How to Apply
If you are interested in this Marketing Data Analyst role, please apply with your CV and we will be in touch to discuss further.

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Portfolio Analytics Manager
Watford Junction (Hybrid, 3 days per week) | Up to £89,000 + 10% bonus
This is an exciting opportunity to join a highly visible analytics function during a major business transformation. You will play a key role in shaping how data is used to drive commercial performance, working closely with senior stakeholders across digital, retail, and strategy.
The Company
They are a large, customer-focused organisation operating across both digital and physical channels, currently undergoing significant transformation. With a strong emphasis on data-led decision making, they are investing heavily in analytics to unlock commercial growth and improve customer outcomes. The business fosters a collaborative environment where analytics is central to strategic planning. You will join a team that is evolving its capabilities and influence across the organisation.
The Role
You will sit within a central insight and analytics function, acting as a bridge between data and commercial decision making. Key responsibilities include:

• Working with large, complex datasets to generate actionable insights using SQL and Python
• Translating analysis into clear, commercially relevant recommendations for stakeholders
• Supporting KPI reporting and developing scalable dashboards using Power BI
• Designing and evaluating A/B tests to optimise business performance
• Delivering customer and marketing analytics, including segmentation, cohort analysis, and lifetime value modelling
• Partnering with digital, retail, finance, and strategy teams to influence decision making
• Improving reporting frameworks, metric consistency, and data quality processes
• Navigating ambiguity and incomplete data to provide pragmatic, insight-led solutions

Your Skills & Experience

• Strong commercial experience with SQL and the ability to work with large, complex datasets
• Experience using Python or similar tools for analysis and automation
• Proficiency in Power BI or other dashboarding tools
• Background in customer or marketing analytics, including segmentation and test and learn methodologies
• Ability to translate data into clear business recommendations and influence stakeholders
• Experience working across multiple data sources in complex environments
• Strong analytical thinking with a proactive and collaborative approach

What They Offer

• Salary up to £89,000 plus 10% bonus
• Hybrid working model with flexibility
• High-impact role with exposure to senior leadership
• Opportunity to shape analytics capabilities within a transforming business
• Broad cross-functional exposure across both digital and physical channels
• A collaborative environment that supports growth and development

How to Apply
Apply now with your CV to learn more about this opportunity.

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Senior Marketing Manager (Global Campaigns)

UK (Hybrid) – Central London

Up to £65,000

The Opportunity

We’re working with a global education organisation seeking a Senior Marketing Manager to lead high-impact, multi-market campaigns and shape global marketing strategy.

This is a senior, highly visible role where you’ll own pan-regional campaigns, elevate brand consistency, and drive measurable recruitment and commercial outcomes across diverse international audiences.

Key Responsibilities

• Lead global, multi-channel marketing campaigns from strategy through execution
• Define and optimise end-to-end customer journeys across key audiences
• Develop global messaging frameworks, value propositions, and campaign narratives
• Partner cross-functionally with digital, product, content, and regional teams
• Improve campaign performance through insight, data, and experimentation
• Drive marketing quality through frameworks, best practices, and playbooks
• Act as a senior advisor to regional teams to elevate campaign delivery

What We’re Looking For

• Extensive experience in senior marketing roles across multiple markets
• Proven success delivering integrated, multi-channel campaigns
• Strong strategic thinking with hands-on delivery capability
• Excellent stakeholder management in complex, matrix environments
• Strong commercial mindset with experience using data to drive decisions
• Background across brand, digital, content, and customer experience
• Strong copywriting and messaging development skills
• Proactive, solutions-driven mindset with the ability to influence at senior level

Ways of Working

• Hybrid working model
• Highly collaborative, matrix environment
• Balance of strategic ownership and hands-on execution
• Focus on innovation, experimentation, and continuous improvement

Benefits

• Competitive salary + performance-based bonus
• Flexible and hybrid working options
• Opportunities for international exposure and impact
• Ongoing professional development and training
• Collaborative, inclusive culture with strong cross-team support
• Access to modern tools, including AI-enabled marketing capabilities
• Generous annual leave and wellbeing initiatives

How to Apply

If you’re a strategic, commercially-minded marketing leader looking to make a global impact, we’d love to hear from you.

Apply now with your CV or reach out to me!

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Senior Marketing Manager
This is an excellent opportunity to shape global marketing strategy and lead campaigns that deliver measurable growth across multiple markets. You will play an important role in aligning brand, digital and campaign activity while influencing senior stakeholders and improving marketing effectiveness at scale.

The Company
They are a globally operating organisation with a strong presence across international markets. Their marketing function is designed to balance global consistency with local market relevance, enabling teams to deliver insight-led campaigns. The business places strong emphasis on collaboration, data-driven decision making, and continuous improvement. You will be joining a forward-thinking environment that supports innovation and career growth.

The Role

• Lead the development and delivery of integrated, multi-channel marketing campaigns across global markets
• Own and optimise the end-to-end customer journey across key audience segments to improve engagement and conversion
• Develop scalable messaging frameworks aligned to wider business objectives
• Partner with cross-functional teams including digital, content, product marketing and design to ensure cohesive delivery
• Provide strategic guidance to regional marketing teams to improve campaign quality and consistency
• Use insight, experimentation and performance data to inform decisions and enhance outcomes
• Drive alignment across teams in a complex, matrix environment to ensure consistent brand execution

Your Skills and Experience

• Commercial experience delivering integrated marketing campaigns across multiple markets or functions
• Proven ability to manage campaigns from concept through to execution and optimisation
• Strategic thinking combined with a hands-on approach
• Confident stakeholder management and influencing skills in matrix organisations
• Experience working across brand, digital, content and customer experience
• Strong analytical skills with the ability to use data to guide decisions
• Excellent communication and copywriting skills for international audiences
• Proactive, solutions-focused mindset with strong ownership and judgement

What They Offer

• Competitive salary and benefits package
• Opportunity to shape global marketing strategy and campaign direction
• Exposure to senior stakeholders and cross-functional leadership
• A collaborative and innovative working environment
• Clear opportunities for progression

How to Apply
Apply now to find out more and take the next step in your marketing career.

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Senior Analytics Engineer

Location: Remote

Salary: $150-170k base

We’re partnering exclusively with a fast-growing SaaS company to find a Senior Analytics Engineer to join their data team. This is a high-impact, high-autonomy role sitting at the intersection of data engineering and analytics, perfect for someone who takes pride in building data foundations that the whole business relies on.

What You’ll Be Doing

• Designing and building dimensional data models in Snowflake that underpin analytics across the business
• Developing and optimising dbt models to turn raw source data into clean, trusted datasets
• Partnering with analysts and business stakeholders to translate their needs into scalable data solutions
• Implementing data quality checks and owning the reliability of analytics datasets
• Contributing to data governance including PII handling, metadata management, and documentation
• Supporting strategic analytics across customer journeys, revenue metrics, and product usage
• Mentoring junior team members and championing best practices

What We’re Looking For

The company runs a best-in-class modern data stack built around Snowflake, dbt, and Monte Carlo, with data flowing in from Salesforce, HubSpot, Recurly, and core product databases. The team is evolving toward an AI-enabled, domain-oriented data organisation, so there’s real scope to shape the architecture, not just maintain it.

Essential:

• 5+ years in analytics engineering, data engineering, or a similar data-focused role
• Expert-level SQL: complex queries, CTEs, window functions
• Strong hands-on dbt experience
• Snowflake (or equivalent cloud warehouse: BigQuery, Redshift)
• Solid understanding of dimensional modelling and data warehouse design patterns
• Experience with SaaS metrics: MRR, churn, CLV etc.
• Python for data work or automation
• Familiarity with data orchestration tools (Airflow / MWAA)
• Comfortable working remotely and cross-functionally with distributed teams

Nice to have:

• Experience with reverse ETL tools such as Hightouch
• Exposure to BI tools (Hex preferred)
• Understanding of data mesh or domain-oriented architecture concepts

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Job Title: Staff Data Scientist

Location: Remote (US Only)

Salary: $200-250k base + equity

About the Company:

Join a mission-focused organization dedicated to revolutionizing global education by providing innovative learning experiences beyond the traditional classroom. The company’s app is widely used across U.S. schools and impacts millions of children worldwide.

Their team is made up of talented and creative professionals with backgrounds in education and top consumer internet companies such as Instagram, Netflix, Dropbox, Stripe, and Uber. They cultivate an environment where top talent can thrive. If you’re eager to work with some of the best minds in the industry, we encourage you to apply!

Position Summary:

As a Staff Data Scientist, you will be a key player in developing the world’s leading consumer education platform. You will be part of a high-achieving, cross-functional team working closely with product, engineering, and design to shape the company’s strategic direction and tackle challenging product and business issues.

Key Responsibilities:

• Utilize data-driven insights to inform decisions and drive our brand toward new milestones
• Work collaboratively with various teams to discover user insights and pinpoint essential product improvements
• Design and analyze AB/multivariate tests to derive actionable conclusions that boost user engagement
• Lead data science projects, influencing strategic choices and addressing complex problems

Your Skills and Experience:

• 8+ years of experience in data science and product analytics
• Experience in the consumer technology sector
• Proficient in writing efficient SQL queries for large datasets
• Skilled in designing and analyzing A/B tests
• Strong understanding of growth strategies for consumer products
• Experience working in fast-paced startup environments
• Excellent verbal and written communication skills
• Strategic thinker with a keen focus on product development
• Innovative approach to using data to drive product strategy

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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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Senior Data Platform Engineer

Location: Los Angeles, CA

Salary: $160-200k base

We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.

They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.

The Role

As a Senior Engineer on the Data Platform team, you will:

• Design and build scalable data pipelines and transformation frameworks
• Own ingestion and egress systems that unify multiple operational data sources
• Develop reliable, secure data models that power internal data products and applications
• Partner with engineering, product, and operations to translate business needs into production-grade systems
• Advocate for best practices across testing, CI/CD, data modeling, and security
• Debug and optimize complex transformation pipelines in production environments

What They’re Looking For

• 5+ years of experience in data engineering or backend engineering
• Strong programming skills in Python or similar languages
• Experience with Spark, PySpark, SQL, and dbt
• Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP)
• Experience with containerization and modern deployment practices
• Ability to operate autonomously in fast-moving environments
• Strong ownership mindset and attention to security best practices
• Must be a U.S. Person due to export-controlled information requirements

This is a high-impact role focused on building durable data systems that directly support operational execution at scale.

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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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Staff Data Scientist, Finance – Consumption Forecasting

Location: San Francisco or New York | Hybrid (3 days per week in office)

Salary: $240-300k base + bonus + equity (RSUs)

This is a rare chance to own forecasting infrastructure at the center of a high-growth, consumption-based developer platform, one that powers some of the world’s most dynamic applications and scales with every developer and enterprise building on it.

As a consumption-based business, forecasting usage across compute, bandwidth, edge, and storage isn’t a support function. It’s foundational to how we plan infrastructure, revenue, and long-term strategy. This role exists to lead that work at the highest level.

What you’ll own

This is a senior individual contributor role with organization-wide impact. You’ll define forecasting methodology, build systems that scale with a rapidly growing platform, and sit at the intersection of Finance, Infrastructure, Product, and GTM with direct visibility to executive leadership.

• Own production revenue forecasting end-to-end: model development, backtesting, deployment, monitoring, and iteration from first principles to live system
• Build forecasting systems that account for usage-based pricing dynamics, consumption patterns, and customer lifecycle across the platform, built for how this business actually works, not retrofitted SaaS models
• Design hierarchical forecasting models across account, cohort, segment, and global aggregate levels, covering operational, quarterly, and long-range planning cycles
• Establish backtesting, monitoring, and explainability standards that make forecast accuracy transparent and defensible
• Build scenario simulation frameworks to evaluate pricing changes, packaging adjustments, and product launches
• Partner with Finance on board-level reporting, with Infrastructure Engineering on capacity planning, and with Product and GTM on adoption curves and usage drivers
• Set forecasting best practices across the broader Data organization

What we’re looking for

• 7+ years in data science, quantitative analytics, or applied statistics at senior or staff level
• Deep expertise in time-series forecasting and statistical modelling in a usage-based or SaaS environment
• Proven track record building and productionizing ML systems at scale
• Strong Python and SQL, with experience on large-scale usage and billing datasets
• Familiarity with probabilistic modelling, hierarchical forecasting, and causal inference
• Experience partnering with Finance or executive leadership on planning cycles
• Comfortable operating autonomously in fast-moving, ambiguous environments

Nice to have

• Background in cloud infrastructure, developer tools, or consumption-based revenue models
• Familiarity with modern data stacks: Snowflake, Delta Lake, dbt, Airflow
• Prior technical mentorship or informal leadership experience

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