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SENIOR DATA ENGINEER

£100,000
LONDON

This is a unique opportunity to join a prestigious investment management business at the start of a major technology transformation. You’ll play a key role in building a brand-new cloud data platform from the ground up, working closely with investment professionals and taking ownership of critical data initiatives across the business.

THE COMPANY

Our client is a highly respected investment management firm with a long-standing heritage and a global, multi-asset investment strategy. Operating more like a sophisticated investment office than a traditional bank, they manage significant assets across public and private markets while maintaining a lean, collaborative culture.

This is a growth hire as part of a wider modernisation programme, offering the chance to help shape the future data landscape of the business and influence technology decisions from day one.

THE ROLE

• Build and develop a new cloud-based data platform, helping to establish the foundations of the firm’s future data architecture
• Migrate, redesign and modernise existing ETL pipelines, reporting processes and data workflows from legacy systems
• Work closely with investment, private equity, risk and performance teams to translate business requirements into scalable solutions
• Contribute across the full data lifecycle, including engineering, cloud infrastructure, automation, reporting and platform optimisation
• Play a highly visible role in a small technology team where your work will have direct business impact

YOUR SKILLS AND EXPERIENCE

• Strong experience in Data Engineering, ideally with exposure across infrastructure, pipelines, reporting and cloud technologies
• Financial Services experience is highly desirable, particularly within asset management, investment management or multi-asset environments
• Understanding of investment products such as private equity, derivatives, bonds and public markets
• Strong Python and SQL skills, alongside broader data engineering expertise
• Experience with Databricks, Snowflake or Microsoft Fabric would be advantageous
• CFA qualification or progress towards CFA Level 1+ would be highly beneficial
• Able to operate independently, engage stakeholders and take ownership of key initiatives

SALARY AND BENEFITS

• Up to £100,000 base salary
• Excellent pension contribution of up to 15%
• Private medical insurance for you and your family
• Life assurance, critical illness cover and income protection
• Up to £600 annual gym contribution
• 26 days holiday plus additional Christmas leave
• 15 work-from-anywhere days per year
• Sponsorship of professional qualifications
• Hybrid working model (4 days in office)

HOW TO APPLY

Please register your interest by sending your CV through to Harry Lack via the ‘Apply’ link.

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Data Engineer

£75,000 – £95,000 + Benefits
London (Hybrid)
This is a great opportunity to join a high-growth, technology-driven organisation undergoing a major cloud and data transformation. You’ll play a key role in building a brand-new GCP analytics platform from the ground up, helping shape the future of data across the business.

THE COMPANY:

This organisation operates within a specialist, highly regulated industry and has built a strong reputation through its innovative use of technology, data and analytics. Backed by significant investment and continued growth, the business is making major investments in its modern data platform and cloud capabilities.
With a collaborative culture, strong employee retention and a focus on continuous improvement, this is an environment where engineers can take ownership, solve meaningful problems and directly influence business outcomes.

THE ROLE:

You will take ownership of building and developing a new GCP Data Analytics Platform while helping modernise the organisation’s wider data estate.
Key responsibilities include:

• Building end-to-end data solutions, from ingestion through to business-facing outputs.
• Developing scalable ingestion pipelines using APIs, CDC, SFTP and streaming technologies.
• Designing and optimising dbt transformation layers and warehouse workflows.
• Creating dimensional models, fact tables and star schema designs to support analytics at scale.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands-on GCP experience in a commercial environment.
• Strong expertise with dbt
• Advanced dimensional modelling skills
• Strong Python and SQL experience
• Experience with Terraform, Kafka, Dataflow or Pub/Sub.

THE BENEFITS:

You will receive a salary of £75,000 – £95,000 depending on experience.

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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Senior Digital Analyst – Implementation

£50,000-£60,000 + 10% Bonus

London (Hybrid – 3x Days a Week in Office)

Sponsorship – Available

Are you a technically minded Digital Analytics specialist with strong Adobe implementation experience? This is an opportunity to take ownership of a major analytics transformation, modernising tracking infrastructure across multiple digital products for a global live entertainment and ticketing business. With significant investment in its analytics capabilities, the business is looking for someone who can get hands-on with complex implementations, improve data quality and help shape the future of its global digital analytics function!

The Company

A leading global ticketing and live entertainment platform, working with major venues, promoters and sporting organisations across the UK, Europe and North America. Operating at significant scale, the business combines ticketing technology with rich first-party customer data, digital marketing and fan engagement. As it continues to invest in its global analytics capabilities, there is a real opportunity to influence how data is collected, governed and used across its digital platforms.

The Role

As the Senior Digital Analyst, you will play a key role in transforming the organisation’s digital analytics infrastructure. You’ll take ownership of hands-on technical implementation, helping rebuild the data layer across eight digital products while supporting the migration from legacy Adobe Analytics implementations to the modern Adobe Experience Platform Web SDK. This is a technically focused position where you’ll need to be comfortable leading large-scale implementations, troubleshooting complex tracking issues and working through legacy environments to deliver reliable, scalable solutions.

Key responsibilities include:

• Lead large-scale digital analytics and tagging implementations across multiple digital products.
• Own data layer design, implementation, testing and quality assurance.
• Implement and maintain Adobe Analytics tracking, Adobe Launch configurations and tracking pixels.
• Support the migration from legacy tracking infrastructure to Adobe Experience Platform Web SDK (Alloy.js).
• Troubleshoot implementation issues and improve the accuracy and reliability of digital data.
• Work closely with Product, Marketing Technology and Analytics teams to deliver robust tracking solutions.
• Establish technical documentation, implementation standards and best practices.
• Support marketing attribution, reporting and the wider analytics transformation programme.
• Contribute to the future roadmap, including potential server-side tracking and broader data integration.
• Provide technical support to junior team members and help strengthen implementation capability as the global function grows.

Your Skills & Experience

• Strong hands-on experience implementing Adobe Analytics in a complex digital environment.
• Proven experience with Adobe Launch
• Strong JavaScript skills, particularly in relation to tracking implementation and debugging.
• Experience designing and implementing data layers, tags and tracking pixels.
• Experience leading or delivering large-scale digital analytics implementations.
• Exposure to Adobe Experience Platform Web SDK (Alloy.js), ideally including migration from legacy implementations.
• The ability to take ownership of technical delivery and work confidently with Product, Marketing Technology and commercial stakeholders.
• A detail-oriented approach, with the ability to navigate complex or outdated tracking environments.

The business is particularly interested in technically strong implementation specialists, although candidates with broader digital analytics experience will also be considered where they have demonstrable hands-on technical expertise.

The Benefits

• £60,000-£70,000
• Bonus – 10%

How to Apply

Please register your interest by sending your CV via the Apply link on this page. Visa sponsorship available for eligible candidates.

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Data Scientist
London (Hybrid) | £70,000 + Benefits

This is an opportunity to join a leading insurance business that is continuing to invest in Data Science and analytics. You’ll work on a diverse range of projects, helping the business make better decisions through predictive modelling, statistical analysis, and machine learning while gaining exposure to emerging AI technologies.

The Company
They are a well-established insurance organisation with a strong focus on data-driven decision-making. Their Data Science function works closely with stakeholders across the business to improve operational performance, customer outcomes, and commercial results. You’ll join a collaborative environment where analytical insights have a direct impact on strategy and business performance.

The Role

• Develop predictive models and machine learning solutions to solve business challenges.
• Analyse complex datasets to identify trends, risks, and opportunities.
• Partner with stakeholders to translate business problems into analytical solutions.
• Communicate insights and recommendations to both technical and non-technical audiences.
• Explore and evaluate new technologies, including Large Language Models, where they can deliver measurable value.

Your Skills & Experience

• Strong commercial experience working as a Data Scientist.
• Advanced Python skills and experience with machine learning libraries such as Scikit-learn, TensorFlow, Keras, or PySpark.
• Strong background in statistical modelling, data analysis, and predictive analytics.
• Ability to translate complex data into clear business recommendations.
• Exposure to LLMs, prompt engineering, or Generative AI would be advantageous.
• Experience within insurance, financial services, or another regulated environment is beneficial.

How to Apply
To find out more about this Data Scientist opportunity, please apply with your CV for a confidential discussion with the Harnham team.

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Senior Digital Analyst
Watford – hybrid 3x a week
Up to £65,000 + Bonus

This is an exciting opportunity to join a business investing heavily in digital growth, analytics innovation, and customer experience transformation. You’ll work on high-profile digital products, influence commercial decision-making, and help shape how digital performance is measured across a large-scale consumer environment.

The Company
They are a well-established consumer-focused organisation undergoing significant digital transformation. Digital channels have been identified as a key strategic growth area, with substantial investment in customer journeys, product innovation, payments, and analytics capabilities.

Operating within a collaborative and fast-paced environment, the business combines the resources of a large organisation with the agility of a modern digital team. Analytics plays a central role in driving commercial outcomes, customer experience improvements, and strategic decision-making.

The Role
As a Senior Digital Analyst, you will partner with stakeholders across Digital, Product, Marketing, Acquisition, and Data teams to deliver insight and performance measurement across key customer journeys.

Responsibilities include:

• Delivering analysis and insight on digital customer journeys to identify opportunities for growth and optimisation
• Building and enhancing dashboards and self-service reporting solutions
• Translating complex data into clear, actionable commercial recommendations
• Measuring the impact of digital initiatives, products, and customer experiences
• Supporting experimentation and CRO programmes through analysis and performance evaluation
• Developing measurement frameworks that connect customer behaviour with commercial and financial outcomes
• Working closely with technical and development teams to ensure accurate and effective data collection
• Driving reporting improvements and promoting data democratisation across the organisation
• Exploring AI and automation tools to improve analytical efficiency and workflows
• Contributing to a project-led analytics environment focused on business impact rather than routine reporting

Your Skills & Experience
You will ideally bring:

• Strong experience in Digital Analytics within a commercial environment
• Advanced SQL skills, including complex querying and working with large datasets
• Experience analysing web and app customer behaviour and connecting insights to business outcomes
• A background delivering both ad hoc analysis and automated reporting solutions
• Experience building dashboards and presenting insight to senior stakeholders
• Knowledge of CRO, experimentation, and customer journey optimisation
• Familiarity with web analytics platforms such as Adobe Analytics, Google Analytics, Piano Analytics, or similar
• Experience working with cloud data platforms such as Snowflake or equivalent
• Exposure to Python or R would be advantageous
• Understanding of tagging and digital measurement frameworks, without requiring hands-on implementation expertise
• Interest in leveraging AI tools and automation to enhance analytics workflows

What They Offer

• Exposure to large-scale digital products and high-impact transformation programmes
• Opportunity to work closely with Product, Commercial, Marketing, and Data leadership teams
• Clear opportunity to influence analytics strategy and digital performance measurement

How to Apply
To find out more about this Senior Digital Analyst opportunity or discuss your suitability, please apply with your CV today.

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Machine Learning Engineer

USA based (Fully Remote)
$180,000 to $200,000 base + bonus + equity

This is an opportunity to join a high-impact Machine Learning team where experimentation, ownership, and real-world impact sit at the core of the role. You will work on systems that directly influence commercial outcomes at scale, with the autonomy to design, test, and deploy solutions that power critical decision-making.

The Company

This organisation operates at the intersection of data, commerce, and risk, building advanced machine learning systems to solve complex transactional challenges. Their platform processes high volumes of real-time decisions, using AI to optimise customer experiences while managing risk. Machine learning is central to their product and growth, not a supporting function, giving teams strong visibility across the business.

They foster a culture that values scientific thinking, creativity, and engineering rigour, with teams structured to own their services end to end.

The Role

You will contribute to the development of production-grade machine learning systems, working across the full lifecycle from experimentation through to deployment.

* Designing and implementing machine learning models that drive real-time decisioning
* Building and optimising scalable ML pipelines to enable rapid experimentation
* Exploring and integrating new ML techniques to improve model accuracy and scalability
* Collaborating closely with Product, Engineering, and Risk teams
* Owning projects end to end, with full accountability for outcomes in production

Your Skills and Experience

* Strong commercial experience building and deploying machine learning models from first principles
* Hands-on experience working in distributed computing environments such as Spark
* Proficiency in Python and SQL for data processing and model development
* Experience designing and running experiments rather than relying on pre-built models or APIs
* Ability to translate business problems into scalable machine learning solutions

What They Offer

* Competitive base salary up to $200,000 depending on experience
* Annual bonus / equity package
* Fully remote working within the USA
* Flexible working and unlimited paid time off
* Generous parental leave and learning and development support
* The opportunity to work on high-scale systems with meaningful business impact

How to Apply

If you are interested in applying your machine learning expertise to real-world challenges at scale, please submit your CV to learn more.

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Marketing Analytics Lead

Up to £95,000 + Bonus

Watford (Hybrid – 3 Days per Week in the Office)

Are you a commercially minded Marketing Analytics leader who enjoys connecting data, insight and strategy to influence business performance? This is an opportunity to take ownership of a broad marketing analytics agenda within a major consumer-facing organisation. Working directly with senior leadership, you’ll bring together expertise across marketing, customer insight, digital and commercial analytics to shape business strategy, influence investment decisions and identify new opportunities for growth. With significant investment in data and analytics, this is a highly visible position where you’ll have the opportunity to shape the future direction of the function.

The Company

A major international entertainment organisation responsible for one of the UK’s most recognisable consumer brands is undergoing an ambitious transformation, with significant investment in its Data, Digital and Customer capabilities. With a growing focus on customer engagement, marketing effectiveness and commercial optimisation, the business is evolving how it uses data and insight to inform strategic decision-making. You’ll be joining at an exciting point in that journey, with the opportunity to influence how analytics supports some of its most commercially important functions.

The Role

As Marketing Analytics Lead, you’ll operate as a senior strategic partner to the Marketing and Games leadership teams, reporting directly to the Head of Data & Analytics. This is a broad, senior individual contributor position, sitting above the existing management structure and working across multiple analytical squads. Rather than managing a single specialist team, you’ll be responsible for connecting different areas of analytics, insight and research, ensuring the business is asking the right questions and that analytical resource is focused on the opportunities with the greatest commercial value. You’ll have ownership of the wider marketing analytics agenda, spanning everything from customer and campaign performance through to marketing effectiveness, commercial insight and long-term strategic planning.

Key responsibilities include:

• Act as the senior analytics partner to Marketing and Games leadership, building relationships and influencing strategic and commercial decisions.
• Own and shape the marketing analytics agenda, translating business objectives into a prioritised roadmap of analytical initiatives.
• Connect expertise across marketing analytics, customer insight, digital analytics, commercial analytics, research and marketing effectiveness.
• Drive a holistic understanding of marketing performance, including acquisition, conversion, customer behaviour, engagement and lifetime value.
• Lead the marketing effectiveness agenda, bringing together campaign measurement, attribution, experimentation, brand insight and Marketing Mix Modelling (MMM).
• Challenge existing approaches to marketing measurement and identify opportunities to improve how marketing investment is evaluated.
• Influence the future operating model for performance marketing, including exploring opportunities to bring capabilities further in-house.
• Work across Games and Marketing to identify commercial opportunities, understand product and portfolio performance and support strategic investment decisions.
• Coordinate multidisciplinary analytical squads, ensuring teams are aligned around the most important business priorities.
• Partner with data and product teams to shape future data capabilities and influence the longer-term analytics roadmap.
• Ensure analytical outputs translate into clear recommendations, commercial decisions and measurable business outcomes.

Your Skills & Experience

• Significant experience within Marketing Analytics, Marketing Effectiveness, Customer Analytics or Commercial Insight.
• A broad understanding of marketing analytics, with experience working across multiple areas rather than a single specialist discipline.
• Strong understanding of marketing performance, including acquisition, conversion, campaign measurement and customer engagement.
• Experience with Marketing Mix Modelling (MMM), attribution, experimentation or other marketing effectiveness methodologies.
• Previous hands-on experience across marketing analytics and effectiveness, with the ability to challenge methodologies and translate findings into commercial recommendations.
• Proven experience partnering with senior stakeholders and influencing strategic business decisions.
• Experience leading or coordinating multidisciplinary analytical teams, squads or workstreams.
• Strong commercial acumen, with the ability to connect customer, marketing and commercial insight to wider business strategy.
• Comfortable operating at a strategic level while retaining sufficient technical and analytical understanding to challenge specialist teams.

The Benefits

• £85,000-£95,000
• Bonus
• Matched pension contributions up to 8.5%.

How to Apply

If you’re an experienced Marketing Analytics professional looking for a broader strategic position where you can influence senior stakeholders, shape analytical direction and drive commercial performance, I’d be keen to hear from you! Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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BI Analyst
London | Hybrid
Up to £44,000

This is an exciting opportunity for a BI Analyst to join a data-focused organisation where analytics plays a central role in driving strategic decision-making. You’ll have the chance to take ownership of high-impact reporting, modernise analytical processes through automation, and help shape the future of data capabilities across the business. This role offers a strong balance of technical delivery, stakeholder engagement, and continuous improvement.

The Company
They are a well-established organisation undergoing continued investment in their data and analytics function. Data is at the heart of key business decisions, and they are committed to building scalable, reliable, and modern analytical processes.
Working across multiple business areas, they leverage a combination of internal and external datasets to generate meaningful insights, support product and commercial initiatives, and deliver valuable reporting to both internal and external stakeholders. They offer a collaborative environment with a strong focus on innovation, data quality, and professional development.

The Role
As a BI Analyst, you will:

• Own and deliver recurring analytical outputs, reporting, and insight generation activities
• Develop and maintain robust SQL-based data processes and reporting pipelines
• Design, build, and optimise Power BI dashboards and data models
• Integrate and enrich data from multiple internal and external sources
• Implement data validation, reconciliation, and quality assurance processes
• Identify trends, patterns, and opportunities through advanced analytics
• Support product, commercial, and operational teams with data-driven recommendations
• Produce clear, impactful reporting and communicate findings to both technical and non-technical stakeholders
• Contribute to the development of scalable analytics infrastructure and best practice methodologies

Your Skills & Experience

• Strong commercial experience with SQL and Power BI
• Experience building dashboards, reports, and data models
• Strong analytical skills with the ability to interpret complex datasets
• Experience improving and automating reporting processes
• Knowledge of data validation, quality assurance, and governance practices
• Exposure to Python or R for analysis and automation would be beneficial
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

What They Offer

• Salary of £44,000 depending on experience
• Comprehensive benefits package
• The opportunity to own business-critical analytics and reporting functions
• Exposure to modern data technologies, automation, and AI initiatives
• Ongoing training and professional development opportunities
• Clear progression within a growing data and analytics team
• Collaborative and supportive working environment
• Hybrid working flexibility

How to Apply
If you’re an Analytics Engineer looking to work on meaningful data projects, drive automation, and influence business decision-making through analytics and insight, apply today.

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BI ANALYST

LONDON/HYBRID

UP TO £44,000

This is an opportunity to join a purpose-driven organisation where data sits at the heart of the business. You’ll take ownership of critical datasets, improve and automate reporting processes, and help shape how data, automation, and AI are applied across the organisation. The role offers broad technical exposure, significant autonomy, and the chance to become a key technical expert within a growing data function.

ROLES AND RESPONSIBILITIES:

The BI Analyst will:

• Manage, maintain, and enhance core business datasets
• Build and optimise SQL-based data processes and workflows
• Integrate data from multiple internal and external sources
• Develop, maintain, and improve Power BI reporting solutions
• Automate manual reporting and data delivery processes
• Support stakeholders who utilise both Power BI and Excel-based outputs
• Design scalable, reliable, and well-documented data processes
• Implement data quality, validation, and governance procedures
• Identify opportunities to improve systems, infrastructure, and operational efficiency
• Explore AI and machine learning applications to enhance data processes and automation
• Collaborate with Product, Commercial, Programme, and leadership teams to support business decision-making
• Present insights and technical concepts clearly to both technical and non-technical stakeholders

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong SQL development and data management experience
• Advanced Power BI skills including data modelling and dashboard development
• Strong Excel capabilities
• Experience building and maintaining automated data processes
• Experience integrating and managing multiple datasets
• Knowledge of data quality, validation, and documentation best practices
• Ability to work independently and take ownership of technical delivery
• Strong stakeholder management and communication skills

APPLY BELOW

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BI Developer
London/Hybrid
Up to £45,000

This is an excellent opportunity for a Power BI Developer to join a growing insights function within a well-established consumer-facing organisation. With significant investment in data and analytics, strong executive sponsorship, and a growing volume of customer data, you’ll play a key role in shaping how reporting and insight support commercial decision-making across the business.

The Company
They are a large, nationally recognised organisation with operations across multiple locations in the UK. Data is becoming increasingly central to their commercial strategy, with major investment being made in analytics capabilities, customer understanding, and marketing measurement.
Working within a lean and highly visible BI team, you’ll have the opportunity to influence reporting standards, own business-critical dashboards, and work directly with senior stakeholders across marketing, digital, and operational functions.

The Role
As a BI Developer, you will focus on building and maintaining Power BI solutions that enable stakeholders to make informed business decisions.
Key responsibilities include:

• Designing and developing Power BI dashboards and reports
• Building and maintaining semantic models within Power BI
• Creating robust DAX measures and calculations
• Gathering business requirements from a broad stakeholder group
• Translating commercial and operational needs into reporting solutions
• Supporting marketing, customer insight, and performance reporting initiatives
• Delivering ad hoc analysis and reporting where required
• Ensuring reporting accuracy, governance, and best practice standards
• Providing support and guidance to end users across the business
• Working closely with senior stakeholders to drive data-led decision making

You’ll contribute to high-profile projects focused on customer analytics, digital transformation, marketing performance, attribution reporting, and commercial insights.

Your Skills & Experience
To be successful in this BI Developer role, you will have:

• Strong hands-on experience developing reports and dashboards in Power BI
• Advanced DAX skills and experience building semantic data models
• Good SQL knowledge for querying and analysing data
• Experience gathering requirements and managing stakeholder relationships
• The ability to communicate technical concepts to non-technical audiences
• A proactive approach and confidence working independently
• Experience owning reporting solutions from concept through to delivery

Desirable experience includes:

• Marketing analytics or campaign performance reporting
• B2C customer analytics environments
• Customer insight and segmentation reporting
• Reporting governance, QA processes, or best practice implementation
• Exposure to Microsoft Fabric or Azure environments

What They Offer

• Salary of up to £45,000
• Hybrid working model with limited office attendance
• Exposure to senior stakeholders and business-critical projects
• Opportunity to help shape a growing BI function
• Strong investment in data and analytics capabilities
• Access to modern technologies including Power BI, SQL, Microsoft Fabric, and Azure
• Clear opportunity for progression as the team expands

How to Apply
If you’re a Power BI Developer with strong DAX, data modelling, and stakeholder engagement experience, please apply today to discuss this opportunity in more detail.

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