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This is an opportunity to lead a high-impact analytics function within a complex, data-rich environment. You will shape the data and insights strategy, influence senior decision-making, and build a best-in-class analytics capability that supports operational performance and business growth.

The Company
They are a fintech where data plays a critical role in driving operational excellence, customer outcomes, and strategic decision-making across the business.
With significant investment in analytics, reporting, and automation, they are looking for an experienced leader who can bring together data, technology, and commercial insight to deliver measurable business impact.

The Role
As the Operations Analytics & Insight Lead, you will be responsible for setting the direction of the analytics function while leading and developing a high-performing team.

You will:

• Define and deliver the data and insights strategy for the operations function.
• Lead, coach, and develop a team of analysts, creating a culture of high performance and continuous improvement.
• Act as the senior analytics partner to leadership teams, providing insight that drives business decisions.
• Establish and maintain trusted operational KPIs, reporting frameworks, and measurement standards.
• Design and oversee analytical approaches for major transformation and optimisation initiatives.
• Translate complex business challenges into structured analytical solutions and actionable recommendations.
• Drive best practice across SQL development, reporting, analytics, and data governance.
• Champion self-service reporting and scalable data solutions to improve business efficiency.
• Work closely with senior stakeholders to influence strategic priorities through evidence-based decision-making.

Your Skills & Experience

• Strong experience leading a Data, Analytics, or Insights team within a commercial environment.
• Proven people management experience, including mentoring, coaching, and developing analysts.
• Advanced SQL skills and the ability to work confidently with large, complex datasets.
• Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar.
• Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development.
• Experience with data visualisation tools such as Tableau, Looker, or Power BI.
• Ability to communicate complex analytical findings to senior and executive stakeholders.
• Commercial mindset with a track record of using data to influence business outcomes.
• Python experience for analysis or automation would be advantageous.

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Head of Marketing Analytics
London (Hybrid) | Up to £150,000 + Benefits

This is an exciting opportunity to lead and shape a growing Marketing Analytics function within a highly successful digital business. Joining at a pivotal stage of its analytics journey, you will have the chance to influence strategic decision-making, build analytical capability, and drive measurable impact across customer acquisition, engagement, and growth initiatives.

The Company
They are a well-established, customer-focused organisation that has successfully challenged traditional approaches within their sector through innovation and technology. With continued growth and investment in data-driven decision-making, they are expanding their analytics capabilities to support ambitious commercial objectives. Analytics plays a central role in their future strategy, creating a high-impact environment for experienced leaders.

The Role
You will lead the Marketing Analytics function, partnering with senior stakeholders across marketing, growth, and product teams to drive better business decisions.
Responsibilities include:

• Leading, coaching, and developing a team of Marketing Analysts
• Defining the vision and strategy for Marketing Analytics across the organisation
• Partnering with leadership teams to solve complex growth and marketing challenges
• Developing robust measurement frameworks for acquisition, CRM, and customer engagement activity
• Improving attribution, marketing effectiveness, and investment decision-making
• Driving the evolution and maturity of analytics processes, frameworks, and capabilities
• Translating business questions into actionable insights and recommendations
• Ensuring analytical outputs are commercially focused, impactful, and aligned to business objectives

Your Skills & Experience

• Strong commercial experience in Marketing Analytics, Growth Analytics, Customer Analytics, or a related field
• Deep understanding of marketing measurement, performance analysis, attribution, and customer growth metrics
• Experience leading and developing analytics teams
• Expertise in mobile app analytics, acquisition measurement, retention analysis, and customer lifetime value
• Ability to influence senior stakeholders and communicate complex analytics concepts effectively
• Experience building or transforming analytics functions and improving capability maturity
• Strong problem-solving skills with the ability to balance strategic thinking and technical detail
• Familiarity with multi-touch attribution, marketing mix modelling, CRM analytics, or customer value frameworks is advantageous
• Exposure to financial services, fintech, or other fast-paced digital environments is beneficial

How to Apply
If you’re an experienced analytics leader looking to shape the future of Marketing Analytics within a growing organisation, apply today through Harnham to learn more about this opportunity.

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Operations Analytics & Insight Lead

London (Hybrid) | £100,000 + Bonus + Benefits

This is a high-impact analytics leadership role combining strategy, stakeholder influence, and hands-on delivery. You’ll shape how analytics supports operational decision-making while playing a key role in AI, automation, and process optimisation initiatives.

The Company

They are a large, data-driven organisation investing heavily in analytics, automation, and AI capabilities. Operating in a fast-paced environment, they leverage data to improve customer experience, operational efficiency, and business performance. This role offers strong visibility and influence across senior stakeholders.

The Role

• Lead and develop a team of analysts
• Define analytics priorities and help shape the operational roadmap
• Deliver hands-on analysis, including experimentation and statistical testing
• Build frameworks to measure operational performance and identify inefficiencies
• Automate reporting and analytical processes
• Influence senior stakeholders through data-driven insights
• Support AI, chatbot, and Copilot-related initiatives
• Drive improvements in analytics delivery and ways of working

Your Skills & Experience

• Strong experience leading analytics teams
• Advanced SQL and hands-on analytical capability
• Experience balancing strategic leadership with technical delivery
• Strong stakeholder management and influencing skills
• Experience within a regulated environment is preferred
• Sound understanding of experimentation and statistical analysis
• Practical use of AI tools to improve business processes
• Exposure to Looker, dbt, Airflow, or Git is beneficial

What They Offer

• £100,000 salary plus bonus and benefits
• Hybrid working model with three days in the office
• Opportunity to shape a growing analytics function
• Significant exposure to senior leadership
• Involvement in AI, automation, and operational transformation programmes
• Clear scope to influence strategy and team development

How to Apply

Apply today to find out more about this Operations Analytics & Insight Lead opportunity.

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Senior Data Architect

Los Angeles, CA

$220-260k base + bonus

We’re partnering with a large investment organization that is continuing to build out its enterprise data capabilities and is looking for a Senior Data Architect to help shape the next generation of its data platform.

This is a senior individual contributor role focused on enterprise data architecture, Databricks, data modeling, governance, and security. You’ll work closely with business and technical teams to design scalable data structures and standards that support analytics, operations, reporting, and AI use cases.

What You’ll Be Doing

• Design conceptual, logical, and physical data models across enterprise data platforms
• Build dimensional models using Kimball, 3NF, Data Vault, and related approaches
• Help define Databricks Lakehouse architecture, including medallion patterns and Delta Lake design
• Establish Unity Catalog standards for governance, lineage, access control, and data organization
• Partner with Data Engineering teams on pipelines, schema design, transformation logic, and performance
• Build data architecture standards, naming conventions, metadata frameworks, and data quality controls
• Work closely with business teams across Finance, Accounting, Investor Relations, and Investments to translate requirements into technical solutions
• Support security and privacy controls across sensitive enterprise data
• Help define how Databricks, Snowflake, MongoDB, and other platforms should be used across different workloads
• Support downstream ML, GenAI, and RAG use cases through well designed data foundations

What We’re Looking For

• Strong enterprise Data Architecture or Data Modeling experience
• Deep hands on experience with Databricks and Delta Lake
• Strong knowledge of dimensional modeling, Kimball, star schema, 3NF, and Data Vault
• Experience designing medallion architecture in Databricks
• Strong Unity Catalog experience across governance, lineage, and access controls
• Strong SQL skills and familiarity with enterprise data modeling tools
• Experience with Azure data platforms
• Strong understanding of data governance, security, privacy, metadata, and data quality
• Ability to work directly with senior business stakeholders and translate complex requirements into scalable architecture
• Comfortable operating independently in environments where standards and frameworks are still being built

Nice to Have

• Experience within financial services, private equity, asset management, or alternative investments
• Knowledge of investment data including funds, investors, NAV, capital calls, and distributions
• Experience building architecture standards from scratch
• Exposure to Snowflake, MongoDB, Kafka, CDC, and Azure Event Hubs
• Experience supporting AI, ML, or GenAI workloads
• Databricks, Azure, or TOGAF certifications

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AI Product Manager

San Francisco

$200-250k base + bonus (No equity)

We’re partnering with a fast-growing financial services business that is using AI to fundamentally rethink how core business processes operate.

The company already has production AI agents live across credit and underwriting workflows and is now expanding that approach across Sales, Customer Lifecycle, Finance, and Capital Markets.

This is not a traditional product management role focused on feature backlogs and incremental improvements. The remit is to work directly with business teams, understand how processes operate today, and redesign them from the ground up using AI.

The Opportunity

You’ll work directly on a core AI initiative, owning projects from discovery through launch.

You’ll partner with business teams to understand their processes, identify where AI can help, and turn those needs into clear product requirements.

You’ll then work closely with engineering teams to bring those solutions into production.

It’s a high ownership role with strong exposure to senior stakeholders and a great opportunity to build deeper AI product experience.

What You’ll Be Doing

• Lead discovery sessions with business teams to understand existing workflows, pain points, exceptions, and opportunities for AI
• Translate complex business problems into clear AI product designs and technical briefs
• Reimagine workflows from first principles rather than simply automating existing processes
• Define product requirements, acceptance criteria, quality controls, and evaluation frameworks
• Manage specialist engineering partners through the build and delivery process
• Partner with Data Science and Engineering teams to define evaluation metrics, golden datasets, and production readiness standards
• Coordinate testing, shadow runs, and go live activity for new AI products
• Work closely with end users to drive adoption and ensure products solve genuine operational problems
• Measure post launch impact against defined baselines and identify opportunities for continued iteration

What We’re Looking For

• 3 to 5 years of experience across Product Management, Product Analysis, or a similar product focused role
• Hands on exposure to AI enabled products, LLM applications, or AI agents
• Strong experience running discovery with business stakeholders and turning ambiguous problems into structured solutions
• Ability to create clear product artefacts including process maps, requirements, design briefs, and specifications
• Comfortable working with engineers and challenging technical solutions when they do not align with the product intent
• Strong written communication and structured problem solving skills
• Comfortable operating independently in ambiguous, fast moving environments

Ideally You’ll Also Have

• Experience within an AI native, fintech, lending, or high growth technology environment
• Exposure to AI agents, LLM powered products, or workflow automation
• Experience managing external engineering partners or vendors
• Strong instincts around when AI genuinely adds value versus when a simpler solution is more appropriate
• Experience taking AI products from discovery through production and adoption

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Full Stack Software Engineer

New York (preferred) | Chicago, Dallas, Atlanta or Fort Washington | $225,000 base + 20% bonus

This is a rare opportunity to join a small, high-performing AI and Innovation team building a predictive analytics platform that supports major investment and real estate decisions. You’ll have significant ownership, influence technical direction, and help bring AI-powered products into production at scale.

The Company
They are a large-scale owner and operator of logistics and industrial real estate across the United States. With substantial assets under management and a nationwide footprint, they are investing heavily in technology, data, and AI to modernise decision-making across the business.
Their Innovation team operates like a start-up within a larger organisation, combining software engineering, data science, and applied AI expertise to develop products with measurable commercial impact.

The Role

• Build and own core platform capabilities, including application infrastructure, APIs, and shared services.
• Develop full stack applications using Python, React, and TypeScript.
• Surface machine learning and predictive analytics insights through intuitive user interfaces.
• Integrate AI and LLM-powered workflows into production environments.
• Make key architectural and technical decisions that will shape the future of the platform.
• Collaborate closely with Product Managers, Data Scientists, Applied AI Engineers, and business stakeholders.
• Translate ambiguous business problems into scalable software solutions.
• Contribute to code quality, deployment pipelines, testing practices, and engineering standards.

Your Skills & Experience

• Strong commercial experience building full stack software products.
• Excellent Python development skills and experience designing scalable APIs.
• Front-end expertise with React, JavaScript, or TypeScript.
• Experience working in product-focused or 0-to-1 environments.
• Exposure to AI, machine learning, predictive analytics, or LLM-enabled applications.
• Ability to balance speed, quality, and long-term architectural considerations.
• Strong communication skills and confidence partnering with both technical and non-technical stakeholders.
• Experience within technology, fintech, financial services, real estate technology, or other data-intensive environments is advantageous.

What They Offer

• $225,000 base salary.
• 20% annual bonus.
• Hybrid working model with 3 days per week onsite.
• High levels of ownership and autonomy.
• Opportunity to work on cutting-edge AI and predictive analytics products.
• Direct exposure to senior stakeholders and business-critical initiatives.
• Clear progression as the engineering and innovation function continues to grow.

How to Apply
Apply now to learn more about this opportunity for a Software Engineer looking to build AI-enabled products, influence technical strategy, and make a tangible business impact.

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Analytics Engineer

Freelance role

Amsterdam (Hybrid)

This is an excellent opportunity for an Analytics Engineer to play a key role in shaping a growing data function. You’ll sit at the intersection of Data Engineering and Analytics, helping to build scalable data models, improve data accessibility, and enable better decision-making across the business.

The Company

They are a fast-paced, technology-driven organisation with a strong focus on data as a strategic asset. Operating in a complex, data-rich environment, they are continuing to invest heavily in their data platform and analytics capabilities.

The team is collaborative, ambitious, and focused on delivering high-quality data solutions that create measurable business impact. Experience from FinTech environments is particularly valued, although professionals from other high-growth technology businesses will also be considered.

The Role

You will:

• Develop and maintain robust data models using dbt and SQL.
• Build scalable and reliable analytics datasets that support reporting and decision-making.
• Act as a bridge between Data Engineering and Analytics teams, ensuring data is transformed into meaningful business insights.
• Work closely with stakeholders to understand data requirements and translate them into effective solutions.
• Improve data quality, testing, documentation, and governance practices.
• Contribute to the evolution of the data platform and analytics engineering best practices.

Your Skills & Experience

• Strong commercial experience with dbt.
• Advanced SQL and data modelling expertise.
• Proven ability to work across both engineering and analytics functions.
• Experience building and maintaining modern data transformation pipelines.
• Strong stakeholder management and communication skills.
• Experience within FinTech is highly desirable.
• Candidates from high-growth technology businesses or blended banking and technology environments are also encouraged to apply.
• Passion for creating scalable, well-documented, and high-quality data assets.

What They Offer

• Contract rate
• Competitive benefits package.
• Hybrid working model with flexibility.
• Opportunity to influence a growing data function and have a visible impact on business outcomes.
• Exposure to modern data tooling and best practices.
• Clear scope for professional development and career progression within a high-performing team.

How to Apply

If you’re an Analytics Engineer with strong dbt and SQL data modelling experience and are looking to make a tangible impact within a growing data team, apply today to learn more about this opportunity.

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FULL STACK ENGINEER (AI-NATIVE)

Up to £85,000 + Benefits
London (Hybrid, 2 Days per Week)

This is a great opportunity to join a high-growth fintech scale-up where you can take ownership of customer-facing products whilst working in an AI-first engineering environment. You’ll help build technology that combines financial data, analytics, and behavioural insights to deliver meaningful outcomes for end users.

THE COMPANY:

This rapidly growing WealthTech business is transforming how individuals engage with their financial lives through innovative technology, sophisticated analytics, and exceptional user experience. Backed by leading investors and operating in a scale-up environment, the business is building a platform that provides users with a complete view of their financial world alongside personalised insights and recommendations.
The engineering function operates through cross-functional Agile squads and is heavily focused on leveraging AI to increase engineering productivity and innovation.

THE ROLE:

You will take ownership of software within one of the engineering squads, contributing across both front-end and back-end development while working alongside product, engineering, and technical operations teams.
Key responsibilities include:

• Building and enhancing customer-facing web applications.
• Developing scalable features using React, JavaScript and TypeScript.
• Contributing to backend services built with Kotlin and Spring.
• Leveraging AI tools and agentic development workflows as part of your day-to-day engineering process.
• Working within Agile Scrum teams to plan, develop, test and release software.
• Collaborating on APIs, microservices and event-driven architectures.
• Driving software quality, performance, security and scalability.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Java and Kotlin backend development on the Spring stack.
• React, JavaScript and TypeScript.
• AI-assisted development, particularly using Claude and agentic engineering workflows.
• CI/CD pipelines, automated testing and API integrations.
• AWS, Docker and/or Kubernetes.
• Jira, Agile methodologies and collaborative software delivery.

THE BENEFITS:

You will receive a salary of up to £85,000 depending on experience, along with a comprehensive benefits package.
Please note: Sponsorship is not available for this position.

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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OPERATIONSANALYTICS & INSIGHTS LEAD LONDON/HYBRID
UP TO £100,000

This is a unique opportunity to lead an established analytics function while remaining close to the work. You’ll combine people leadership, operational analytics, experimentation, and AI-driven innovation to influence business strategy and improve customer and operational outcomes.

ROLES AND RESPONSIBILITIES:
The Operations Analytics & Insights Lead will:

• Lead, coach, and develop a team of analysts and analytics professionals
• Define analytical priorities and building a structured, value-driven roadmap
• Partner with senior stakeholders to influence business decisions through insight
• Develop frameworks to measure operational performance and identify inefficiencies
• Deliver hands-on analysis, experimentation, A/B testing, and statistical evaluation
• Build scalable reporting and measurement frameworks
• Automate manual processes and improving analytical workflows
• Support AI-enabled operational initiatives, including chatbot and copilot analytics
• Establish trusted metrics, governance, and data quality standards
• Drive a culture of analytical rigour, commercial thinking, and continuous improvement

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong experience leading analytics, data, or insight teams
• Proven people management and stakeholder engagement capability
• Advanced SQL skills with the ability to work hands-on when required
• Experience developing analytical strategy and influencing senior leadership
• Strong statistical knowledge, including experimentation and significance testing
• Experience translating complex analysis into actionable business recommendations
• A track record of improving processes through automation and data-driven decision-making
• Practical experience using AI tools and technologies to enhance business processes
• Comfortable operating in fast-moving, commercially focused environments

APPLY BELOW!

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Operations Analytics & Insight Lead
London (3 days hybrid) | £100,000 + Bonus + Benefits

Are you an analytics leader who enjoys combining hands-on delivery with strategic influence? This is an opportunity to join a highly data-driven organisation where analytics plays a central role in operational performance, customer experience, automation, and AI-enabled transformation. You’ll have the chance to shape analytics strategy, lead a talented team, and drive measurable business impact across a complex operational environment.

The Company

This organisation is a well-established digital business operating at scale, serving a large global customer base through innovative technology platforms. They have invested heavily in data, analytics, and AI, creating a mature analytics environment where insight directly influences strategic decision-making.

The Role

As the Operations Analytics & Insight Lead, you will be responsible for leading operational analytics strategy while remaining close to delivery. This role combines people leadership, stakeholder management, technical analytics, and process improvement.

Key responsibilities include:

• Leading and developing a team of analysts, supported by analytics engineering resources
• Defining and delivering the analytics roadmap across operational functions
• Partnering with senior stakeholders to prioritise work and influence strategic decisions
• Developing frameworks to measure operational performance, efficiency, and customer outcomes
• Delivering hands-on analysis using SQL, experimentation, and statistical techniques
• Designing and implementing robust measurement methodologies and performance frameworks
• Automating manual reporting and analytical processes to improve scalability
• Supporting AI and automation initiatives through analytics, measurement, and operational insight
• Providing reporting and insight on chatbot, copilot, and AI-enabled operational tools
• Establishing best practices and raising analytical standards across the function

Your Skills & Experience

To be successful in this role, you will bring:

• Proven experience leading and developing analytics teams
• Strong commercial experience setting analytics strategy and influencing senior stakeholders
• Advanced SQL skills with the ability to remain hands-on
• Strong statistical knowledge, including experimentation, significance testing, and performance measurement
• Experience translating complex business challenges into actionable analytical solutions
• Practical experience applying AI tools and automation to improve business processes
• Experience operating within regulated industries, financial services, fintech, or similarly complex environments
• Excellent stakeholder management and communication skills
• A STEM degree is highly desirable and will be viewed favourably

Desirable experience includes:

• dbt, Airflow, and Git
• Looker, Tableau, or similar BI tools
• Python for analytics or automation
• Workforce management, customer service, contact centre, onboarding, KYC, or operational analytics experience
• Building scalable reporting, automation, and self-service analytics capabilities

What They Offer

• Salary up to £100,000
• Performance-related bonus
• Comprehensive benefits package
• Hybrid working model with three days per week in the office
• Leadership responsibility with ownership of a growing analytics function
• Significant exposure to senior decision-makers
• Opportunity to shape analytics strategy and operational transformation
• Involvement in high-profile AI, automation, and digital innovation programmes
• Strong career development and progression opportunities within a data-led organisation

How to Apply

Apply below today!

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Analytics Engineer

London (3 days hybrid) | £80,000 + Bonus + Benefits
No sponsorship offered

This is an excellent opportunity for an Analytics Engineer to join a highly data-driven business where analytics sits at the centre of commercial decision-making. You’ll play a key role in shaping trusted, scalable data models used across analytics, reporting, and emerging AI-powered solutions, while working closely with technical stakeholders in a collaborative and fast-paced environment.

The Company

This organisation is a well-established international business with a strong digital and technology focus. They operate at significant scale, generating large volumes of customer and operational data that support decision-making across multiple functions.
With continued investment in data and analytics, they have built a mature analytics function that is focused on driving business impact through trusted, accessible data. Their culture combines the stability of an established organisation with the pace and agility of a modern technology-led business.

The Role

As an Analytics Engineer, you will focus on building and maintaining the analytical data layer that supports reporting, self-service analytics, and AI-enabled use cases. Working alongside Data Engineering and Analytics teams, you will help ensure data is reliable, scalable, and easy to consume.

Key responsibilities include:

• Building and maintaining analytical data models using dbt and SQL.
• Developing and optimising ELT/ETL processes to support analytics use cases.
• Collaborating with Data Engineering teams to prepare and model data for analytical consumption.
• Supporting and enhancing Looker environments, including LookML development.
• Implementing data quality checks, testing, monitoring, and documentation.
• Contributing to wider analytics projects that support business growth and product innovation.
• Identifying opportunities for automation and process improvement.
• Supporting the development of AI-enabled analytics capabilities and improving how contextual data is maintained for analytics tools and chatbots.

Your Skills & Experience

Essential requirements:

• Strong SQL skills with experience building production-grade data models.
• Hands-on experience with dbt.
• Experience designing and maintaining ELT/ETL pipelines.
• Strong experience with Looker and LookML.
• Understanding of data modelling best practices and analytics-focused data architecture.
• Experience working closely with both technical and non-technical stakeholders.
• Google Cloud Platform.
• Airflow, Cloud Composer, or equivalent orchestration tooling.
• Experience supporting AI, conversational analytics, or analytics chatbot solutions.
• Python for automation and data workflows.

What They Offer

• Salary up to £80,000 plus bonus
• Comprehensive benefits package.
• Hybrid working with three days in the office.
• Clear opportunities for career development and progression.
• The chance to influence data standards, modelling practices, and the future direction of analytics engineering within the business.
• Exposure to large-scale datasets, modern cloud technologies, and innovative AI-enabled analytics initiatives.

How to Apply

If you’re an Analytics Engineer with strong dbt, SQL, and Looker experience and are looking for an opportunity to have a genuine impact within a growing data function, I’d love to hear from you. Apply today to find out more.

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