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Senior Marketing Analyst
London – hybrid 3x a week
Up to £85,000 + equity

This is a high impact Senior Marketing Analyst role sitting at the centre of growth and commercial decision making within a fast paced, product led fintech. You will take ownership of marketing analytics across a complex, multi-product environment, with a particular focus on attribution, experimentation, and driving efficient growth in a key international market.

The Company
They are a highly data driven fintech operating a consumer app across lending and financial products. Known for strong analytical standards and commercial focus, they have been profitable for several years and continue to scale at pace, including significant expansion into the US. Data is deeply embedded across product and growth teams, with analytics playing a critical role in shaping strategy.

The Role

• Partner closely with growth and marketing teams to support performance analysis and commercial decision making
• Analyse marketing spend across digital channels including paid social and search, assessing efficiency and ROI
• Own attribution analysis to understand where customer applications originate, including multi touch attribution models
• Optimise end to end customer funnels, identifying drop offs and conversion opportunities
• Analyse complex customer journeys across financial products and recommend alternative pathways for rejected users
• Build models to answer commercial questions such as incrementality, uplift and new channel effectiveness
• Apply statistical techniques to support experimentation, testing and investment decisions
• Work closely with senior stakeholders including the Head of Growth and CMO to translate insight into action

Your Skills and Experience

• Strong commercial marketing analytics experience within consumer technology or digital products
• Advanced SQL and Python skills, with Python central to analytical work
• Proven experience with attribution modelling and complex channel analysis
• Hands on experience with experimentation, AB testing and statistical analysis
• Ability to structure ambiguous problems and deliver clear, actionable insight
• Confident communicator with experience influencing non technical stakeholders

What They Offer

• Salary up to £85,000
• Equity participation
• Hybrid working with three fixed days per week in the London office
• High visibility role with clear ownership and impact
• Opportunity to work on international growth within a mature, data led organisation

How to Apply
To apply, please send your CV to Izzi, including your contact details and salary expectations.

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Commercial Analyst
London – Hybrid 2x a week
Up to £85,000 + bonus

This is a newly created, high impact Commercial Analyst role offering real ownership from day one. You will sit at the heart of a growing, consumer facing business and play a key role in shaping how commercial and marketing decisions are made through data driven insight.

The Company
They are a fast-growing entertainment and ticketing business operating across London and the UK. With a strong focus on direct-to-consumer sales, they work with a broad portfolio of live venues and experiences. Data is already central to the organisation, with established BI capability, but this role represents the first dedicated commercial analyst focused on insight and opportunity identification rather than reporting alone.

The Role
You will work closely with senior commercial leadership in a standalone capacity, owning analysis end to end and influencing strategy across marketing, customer and revenue performance.

Key responsibilities include:

• Delivering hands on commercial and marketing analysis across multiple data sources and channels
• Owning attribution analysis to understand where revenue is generated across digital and offline activity
• Assessing the impact of marketing spend, including complex channels such as direct mail
• Analysing customer behaviour, lifetime value and retention to support growth strategies
• Translating insight into clear, actionable recommendations for non technical stakeholders
• Partnering with BI and engineering teams to improve dashboards and enable more self serve insight across the business

Your Skills and Experience

• Strong commercial analytics experience with a focus on insight rather than pure reporting
• Advanced SQL skills and experience working with Power BI
• Solid understanding of marketing attribution and customer analytics
• Confidence working across multiple datasets and ambiguous problem spaces
• Ability to clearly communicate findings and influence senior stakeholders
• A proactive, opportunity led mindset with strong business acumen

What They Offer

• Hybrid working with two days per week in a central London office
• The chance to shape a brand new role with clear visibility and impact

How to Apply
Apply now to find out more about this unique commercial analytics opportunity.

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Senior Marketing Analyst
London – hybrid – 4 per week onsite
Up to £65,000

This is an exciting opportunity to take on a senior, high impact analytics role combining hands on customer and marketing analytics with the chance to shape thinking around measurement and effectiveness. You will work with well known consumer brands, contribute to strategic conversations across a major agency group, and take ownership of complex analytical work that directly influences marketing performance.

The Company
They are a data driven marketing organisation that helps consumer facing brands better understand their audiences and improve campaign performance. Their work brings together data, marketing, and technology to deliver targeted communications, richer customer insights, and measurable commercial outcomes. You will join a collaborative analytics team that partners closely with internal teams and client stakeholders across digital media, customer analysis, and marketing measurement.

The Role
* Lead analytical work across multiple client accounts, helping shape data driven strategies and campaign optimisation.
* Investigate audience behaviour, targeting performance, and customer interactions across digital media activity.
* Analyse large customer and transactional datasets to identify trends, segment VIP customers, and inform next step recommendations.
* Support discussions on marketing measurement, including Marketing Mix Modelling principles, limitations, and methodological considerations, without building models yourself.
* Represent analytics in wider group meetings, helping evaluate effectiveness work and challenge external propositions where needed.
* Collaborate with commercial, product, and media teams to ensure insights are clearly communicated and acted upon.
* Operate with autonomy while contributing to a wider team and mentoring others where appropriate.

Your Skills and Experience
* Strong commercial experience in customer, digital, or marketing analytics.
* Knowledge of Marketing Mix Modelling or econometrics principles, with the ability to discuss methodologies confidently.
* Good understanding of statistical concepts including experimentation design, uncertainty, and interpretation.
* Skilled in SQL and experienced using a business intelligence tool.
* Comfortable working directly with clients and presenting analytical narratives in a clear, engaging way.
* Experience in an agency or consultancy environment is beneficial but not essential.
* Curious, proactive, and confident navigating technical and commercial discussions.

What They Offer
* Exposure to a wide variety of retail, ecommerce, and delivery focused clients.
* The chance to broaden your expertise across digital measurement, customer analytics, and marketing effectiveness.

How to Apply
To be considered for this opportunity, please apply with your CV.

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CRO Consultant
Egham, Surrey – hybrid
Up to £60,000

This is a great opportunity to join a growing optimisation and experimentation consultancy where you will have real ownership over client programmes and the chance to shape how CRO is delivered at scale. You will work across varied enterprise clients, contribute to strategic decision-making, and play a key role in expanding a high-performing consulting team.

The Company
They are a UK-based conversion rate optimisation, experimentation, and personalisation technology business. Alongside their proprietary optimisation platform, they operate a specialist consulting arm that partners with organisations to improve digital performance through data-led testing and insight. Their work spans multiple sectors, supporting complex websites and high-traffic digital products. The business is collaborative, technically strong, and focused on delivering measurable impact for clients.

The Role
You will sit within the consulting team, working closely with clients to design, deliver, and analyse experimentation programmes that improve user experience and conversion performance.
Key responsibilities include:

• Leading CRO ideation, hypothesis creation, and test planning across client accounts
• Owning end-to-end experiment delivery, from documentation through to analysis and insight
• Interpreting test results and producing clear, actionable recommendations and presentation decks
• Running regular client check-ins and collaborating with stakeholders across marketing, product, and analytics
• Managing workflows and time tracking using Jira-based tools
• Working alongside other consultants as the team continues to scale

Your Skills and Experience

• Strong commercial experience in CRO, experimentation, or optimisation
• Confidence designing and analysing A/B and multivariate tests
• Experience working with experimentation tools
• Excellent communication skills, with the ability to influence and advise senior stakeholders
• A data-driven mindset, with experience translating analysis into practical recommendations
• Background from agency, consultancy, vendor, or in-house environments is all considered
• Exposure to digital analytics and UX is highly valued

What They Offer

• Broad client exposure across enterprise and public sector organisations
• Clear opportunities to grow with the consulting team as it expands
• A supportive environment that values collaboration, curiosity, and impact

How to Apply
If you are passionate about experimentation and want to work in a role with real client influence and growth potential, apply now to learn more about this opportunity.

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PRODUCT DATA ANALYST / SCIENTIST

UP TO £85,000

HYBRID – LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL

*Please note, you must be a UK resident and citizen to apply*

THE COMPANY

Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they’re now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights.

THE ROLE

As a Product Data Analyst/Scientist, you will:

• Own and drive product analytics, focusing on user behaviour and personalisation.
• Deliver insights that directly influence product strategy and experimentation.
• Build and maintain dashboards to track product performance and user engagement.
• Partner with stakeholders across product and analytics to communicate insights effectively.
• Support the business in becoming more data-driven, shaping commercial and product decisions.

YOUR SKILLS AND EXPERIENCE

• Experience in product analytics, within B2C consumer tech businesses
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Looker preferred, open to others).
• Experience with Python desirable.
• Product analytics expertise: experimentation, dashboarding, and driving product strategy.
• Excellent communication and stakeholder management skills.
• Experience influencing product roadmaps and delivering commercial impact.

BENEFITS

• Opportunity to influence product strategy in a PE-backed, high-growth business.
• Work closely with senior leadership, including the Director of Analytics.
• Competitive salary plus benefits.

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Senior Data Analyst
Remote – must live in UK and have full Right to Work
Up to £90,000

This is a high-impact Senior Data Analyst role for someone who enjoys partnering closely with the business and using data to influence commercial decisions. You will sit at the centre of customer, product and growth analytics, helping teams make smarter decisions in a fast-scaling, digital-first environment.

The Company
They are a rapidly growing UK-based digital consumer business operating in a highly regulated, data-rich market. With a modern, product-led approach, the organisation is focused on delivering an engaging customer experience supported by strong analytics and insight. Following significant recent investment, analytics is becoming increasingly central to how the business drives growth, retention and commercial performance. The culture is collaborative, low-ego and outcomes focused.

The Role
You will act as a senior individual contributor and trusted analytics partner across the organisation, working closely with Product, Growth, CRM and Commercial teams. Key responsibilities include:
* Partnering with stakeholders to translate ambiguous business questions into structured analytical approaches
* Analysing customer behaviour, retention, churn, segmentation and lifecycle performance
* Supporting CRM and customer engagement initiatives through insight and performance analysis
* Building reports, dashboards and decision-support analysis for senior stakeholders
* Identifying commercial opportunities, risks and behavioural trends through data
* Supporting experimentation and performance measurement initiatives
* Communicating insights clearly to both technical and non-technical audiences
* Contributing to the ongoing development of analytics capability and ways of working

Your Skills and Experience
* Strong commercial experience in customer, product, CRM or growth analytics
* Advanced SQL skills and confidence working with large datasets
* Proven ability to analyse customer behaviour, retention, churn or lifecycle metrics
* Strong stakeholder management and communication skills
* Experience working cross-functionally with non-technical teams
* Comfort operating in ambiguity and fast-moving environments
* Strong BI and reporting experience
* Exposure to experimentation or A/B testing is beneficial
* Python or R experience is a nice to have
* Experience in high-frequency consumer or digital businesses is highly relevant

What They Offer
* Private health insurance including optical cover and optional dental
* Income protection
* Enhanced holiday entitlement based on tenure
* Nursery salary sacrifice scheme
* Tech and holiday salary sacrifice schemes
* Retail discounts and subscription perks
* Regular company socials and events
* Strong progression opportunities as the business continues to scale

How to Apply
Apply now to learn more about this Senior Data Analyst opportunity and how it could support your next career move.

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Senior Data Analyst
London – hybrid 3x a week
Up to £75,000

This is a high-impact analytics role for someone who wants to influence commercial decision-making at scale. You will sit close to senior leadership, working on insight-led projects that directly shape strategy across customer, marketing, and commercial performance. The role offers genuine autonomy, exposure to complex data, and the opportunity to drive meaningful business outcomes.

The Company
They are a fast-growing, consumer-focused organisation that has undergone significant digital and data transformation in recent years. Backed by private equity, they continue to invest heavily in analytics as a core driver of growth. Their data function is well established, highly regarded in the market, and recognised for delivering commercially impactful insight. With strong year-on-year performance, analytics plays a central role in how the business operates.

The Role

• Deliver hands-on, commercial customer analytics that influence senior stakeholders across the business
• Lead customer segmentation and behavioural analysis to understand usage, value, and lifecycle trends
• Analyse churn, retention, loyalty, and customer lifetime value to inform strategic decisions
• Evaluate marketing and campaign performance, measuring ROI and efficiency
• Work with large, complex datasets to uncover insight across customer, product, and commercial performance
• Present clear recommendations, actions, and next steps to senior non-technical audiences
• Contribute to insight-led projects exploring new data sources such as location, device, and customer service data

Your Skills and Experience

• Strong commercial experience in customer analytics within a consumer or subscription-based environment
• Advanced SQL skills, including querying large datasets and joining multiple data sources
• Experience using Python and or R for analysis and insight generation
• Strong understanding of churn, retention, loyalty, CLTV, and marketing analytics
• Confident communicator able to influence senior stakeholders with clear, actionable insight
• Proactive, curious, and comfortable working autonomously in a hands-on role

What They Offer

• Exposure to senior commercial and leadership stakeholders
• Ongoing investment in data and analytics with scope for future growth and progression
• Opportunity to shape analytics direction within a highly regarded data function

How to Apply
Apply now to explore this opportunity further and discuss how your analytics experience could make a real commercial imp

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Digital Data Analyst
London – hybrid working 2-3x a week
Up to £48,000

This is a standout opportunity to join a growing digital analytics function at a pivotal stage of its evolution. The role offers real influence, sitting at the intersection of ecommerce, trading and data engineering, with the chance to shape how digital insight is used across the business.

The Company
They are a premium omnichannel retailer with a strong online presence and a clear focus on long-term, sustainable growth. The business combines digital commerce with physical retail and places a strong emphasis on customer experience, wellbeing and inclusive ways of working. Data plays an increasingly important role in how commercial decisions are made.

The Role
You will act as the bridge between ecommerce stakeholders and the data engineering team, turning digital trading questions into clear, actionable insight.

• Analyse ecommerce performance across the full digital funnel, from traffic through to conversion.
• Build and maintain reporting and dashboards in Power BI used by senior commercial stakeholders.
• Deliver ad hoc analysis to support onsite trading, merchandising and performance marketing decisions.
• Investigate changes in traffic, conversion and revenue, separating tracking issues from UX, marketing or trading drivers.
• Assess GA4 tracking and identify gaps in events, parameters and definitions.
• Translate business questions into clear data requirements and briefs for data engineers.
• Support data quality checks and ongoing improvement of digital data foundations.

Your Skills and Experience

• Strong commercial experience in ecommerce or digital retail analytics.
• Confident working with GA4, including events, parameters and ecommerce measurement.
• Strong Power BI capability, including DAX and semantic modelling.
• Ability to explain ecommerce metrics clearly and commercially to non technical stakeholders.
• Experience working with digital funnels and onsite performance analysis.
• Comfortable collaborating with data engineers and understanding how digital data flows into a warehouse.
• Nice to have experience includes GTM or data layer exposure, BigQuery or GA4 exports, Python for automation, or paid media analytics, but these are not essential.

What They Offer

• Salary up to £48,000 plus a competitive benefits package.
• Hybrid working with two days per week in the London office.
• High visibility role with genuine influence over how digital data is used.
• Opportunity to grow alongside a developing data function and broaden commercial impact.

How to Apply
Apply now to learn more about this Digital Data Analyst opportunity and how it could fit your next career move.

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Analytics Consultant

London, up to £63,000 base plus bonus and benefits
Hybrid – 3 days in office

This is an opportunity to join a strategy consulting environment where data and analytics sit at the heart of high‑impact client work. You will work on varied, intellectually engaging projects, helping organisations understand complex data and turn it into clear, actionable insight.

The Company

They are a strategy consulting firm specialising in mergers and acquisitions, corporate strategy, and operational improvement. Data and analytics are embedded within the wider core services function, supporting consulting teams across the UK and Europe. The business values clear thinking, strong communication, and insight that drives real‑world decisions.

The Role

You will join a growing Data and Analytics team, working across a range of ad hoc client projects. Your work will focus on helping clients understand what their data is telling them and why it matters.

Key responsibilities include:

Delivering analytical projects that combine reporting, visualisation, and insight
Translating complex data into clear narratives for non‑technical stakeholders
Building dashboards and analytical outputs using modern data tools
Working on location and planning analysis, demand modelling, and strategic insight
Supporting consultants and clients with evidence‑based decision making

Your Skills and Experience

• Strong experience working with data to deliver commercial insight
• Proficiency in Python or SQL, alongside a data visualisation tool
• Confident communicator with the ability to tell a clear story with data
• Strong academic background in a STEM discipline
• Exposure to consulting or client‑facing environments is advantageous

What They Offer

• Base salary up to £63,000 depending on level
• Performance‑related bonus structure
• Clear progression through a defined consulting career framework
• Exposure to a wide variety of industries and strategic challenges
• Collaborative team culture with learning and development support

How to Apply

If you are interested in using data and analytics to solve meaningful business problems in a consulting environment, please apply.

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Technical Program Manager – AI Transformation (Fintech Lender)
San Diego / San Francisco (hybrid)
$250-350k + bonus + equity

Looking for a TPM who has delivered AI/ML systems in credit, lending, or underwriting environments

A high-growth fintech lender is building an AI-first underwriting platform – aiming to automate large parts of credit decisioning and materially reduce cost-to-serve.

They’ve recently hired a Chief Credit Officer to build a full AI + risk function from scratch. This is a core hire within that team.

The role:

• Own end-to-end execution of AI initiatives across underwriting + lending workflows
• Translate AI concepts into structured delivery plans
• Coordinate engineering, data science, and external vendors
• Drive model deployment, integration, and governance
• Partner directly with senior leadership

What they want:

• 5-10 yrs TPM / Engineering Program experience
• Recent AI / ML system delivery exposure
• Fintech / lending / credit experience (strong preference)
• Hands-on operator – not purely oversight

Why it’s interesting:

• True 0→1 AI transformation
• Small, high-impact team (~5 → 10)
• Exec visibility + influence
• Clear commercial impact (cost + pricing edge)

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Senior Machine Learning Engineer

Remote in US

$160,000 – $190,000 Base + 10% Bonus

THE COMPANY

Harnham is partnering with a fintech that has built a leading fraud protection platform enabling merchants to grow confidently by eliminating fraud and delivering frictionless customer experiences. They’re a global company that processes billions of transactions annually, leveraging advanced machine learning to approve more good orders while protecting revenue.

The company combines cutting-edge technology with a deeply collaborative and mission-driven culture. Their Machine Learning team sits at the core of the product, building and maintaining the models and experimentation frameworks that power fraud detection at scale.

RESPONSIBILITIES

• Own the end-to-end lifecycle of machine learning projects, from experimentation through deployment and production monitoring.
• Build, maintain, and optimize production-grade machine learning models for fraud detection.
• Design and implement scalable ML pipelines to enable rapid experimentation and model iteration.
• Develop advanced feature engineering and statistical methodologies to improve model performance.
• Collaborate with Product, Engineering, and Risk teams to translate business needs into ML solutions.
• Contribute to model training, evaluation frameworks, and experimentation infrastructure.
• Ensure robustness, scalability, and reliability of ML systems in high-volume production environments.
• Drive best practices in testing, documentation, and model monitoring across the ML team.

SKILLS AND EXPERIENCE

• 4-6+ years of experience in machine learning within production environments.
• Strong foundation in machine learning theory, statistical modeling, and evaluation techniques.
• Experience building and deploying supervised and unsupervised ML models at scale.
• Proven track record of taking ML projects from research/prototype to production.
• Proficiency in Python, SQL, and key machine learning libraries.
• Experience working with distributed data processing tools such as Spark.
• Strong communication skills, with the ability to explain technical insights to non-technical stakeholders.
• Detail-oriented mindset with a focus on delivering measurable business impact.

PREFFERED EXPERIENCE

• Experience in fraud detection, fintech, payments, or e-commerce domains.
• Advanced degree (Master’s or PhD) in a quantitative field.
• Passion for writing well-tested, production-quality code.
• Interest in adversarial machine learning and combating fraud at scale.

BENEFITS

The compensation package includes a competitive base salary, performance-based bonus, and a comprehensive benefits package within a fast-growing, mission-driven organization.

HOW TO APPLY

Please submit your CV via the Apply link on this page to register your interest.

KEY TERMS

Machine Learning | Fraud Detection | Fintech | Payments | E-Commerce | Python | SQL | Spark | Data Science | Statistical Modeling | Feature Engineering | MLOps | Experimentation | Adversarial ML | Production ML Systems

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