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Customer Analytics Manager

£60,000-£70,000

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

12-Month FTC

The Company

A leading British fashion retailer with a strong high-street and online presence, serving millions of customers across the UK is seeking a Customer Analytics Manager to join on an initial 12-month contract! The business has made significant progress in how it uses customer data, moving towards a much more customer-led approach to decision-making across the organisation. This is an opportunity to join a growing analytics function at an exciting point in its development, helping the wider business better understand its customers and use data to drive commercial decisions.

The Role

As the Customer Analytics Manager, you will sit within the wider Customer Analytics function, working across customer behaviour, lifecycle, segmentation, retention, loyalty and profitability. This is a hands-on analytical role where you’ll own the customer analytics agenda, delivering insight that helps the business understand what its customers are doing, why they’re doing it and what this means commercially. You’ll lead customer reporting and deep-dive analysis, turning complex datasets into clear stories and actionable recommendations for senior stakeholders.

You’ll also work across areas including:

• Customer lifecycle and health
• Customer segmentation and profiling
• Retention and loyalty
• Customer profitability and lifetime value
• Customer behaviour and trends
• Campaign and promotional effectiveness
• Advanced analytics and modelling
• Customer reporting and KPI development

You’ll be expected to go beyond simply producing analysis, building compelling customer narratives and helping stakeholders understand how customer behaviour connects to sales, retention and wider commercial performance. The role also has a small leadership element, with responsibility for managing 1-2 analysts. Previous formal line management experience isn’t essential, however experience mentoring or developing more junior analysts would be valuable.

Your Skills & Experience

• Strong experience in customer analytics, customer insight or a closely related analytical discipline
• Excellent SQL skills
• Strong data visualisation and storytelling capabilities
• Experience working with customer behaviour, segmentation, retention, loyalty, CLV or profitability
• Comfortable applying advanced analytical techniques such as clustering, regression and predictive modelling
• Experience with techniques such as k-means, random forest or linear regression would be beneficial
• Strong commercial and stakeholder management skills, with the ability to explain complex analysis clearly to non-technical audiences
• Experience working in retail would be advantageous, but isn’t essential
• Previous line management experience is beneficial, but we are also open to Lead Analysts or Senior Analysts who have mentored or developed others

The Benefits

• £60,000-£70,000

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Head of Data Engineering
Remote (Netherlands) | £150,000 + Benefits

This is a unique opportunity to take ownership of a growing data platform within a globally distributed organisation operating at the intersection of healthcare, life sciences, and commercial consulting. You will help shape the long-term data strategy, establish engineering best practices, and build a scalable platform that delivers measurable business impact across the organisation.

The Company

They are a global services organisation supporting pharmaceutical and healthcare clients with data, analytics, and commercial operations solutions. With teams located across North America, Europe, and Asia, they operate within a highly collaborative and fully remote environment.
The business is investing significantly in its data capabilities and has already begun building a modern cloud-based data platform. They are now looking for an experienced data leader to take ownership of the platform, drive technical excellence, and help scale both the technology and the team.

The Role

You will lead the evolution of a modern data platform while partnering closely with engineering, business stakeholders, and leadership teams across multiple regions.

Key responsibilities include:

• Own and develop the organisation’s centralised data platform and analytics capabilities
• Define the long-term data engineering roadmap aligned to business objectives
• Drive architectural decisions in partnership with senior engineering leadership
• Establish engineering best practices across delivery, quality, governance, and scalability
• Introduce and embed Agile, Scrum, DevOps, and modern software development ways of working
• Lead and mentor a team of Data Engineers based in India, while supporting future team growth
• Work closely with stakeholders across the US, Europe, and Asia to prioritise delivery and maximise business value
• Improve data accessibility, reduce duplication, and create a scalable foundation for analytics and reporting
• Support the processing and management of high-volume datasets at enterprise scale
• Promote the effective use of AI-enabled development tools and engineering productivity improvements
• Act as the senior data engineering voice within the business, influencing both technology and operating models

Your Skills & Experience

Strong leadership experience within Data Engineering, Data Platform, or Analytics Engineering environments

• Proven ownership of cloud-based data platforms from strategy through to delivery
• Strong commercial experience with Snowflake and dbt
• Experience working with Python and SQL within modern data ecosystems
• Exposure to cloud technologies including AWS and Azure
• Knowledge of orchestration and pipeline tools such as Airflow
• Ability to balance strategic leadership with technical decision making
• Experience mentoring and developing high-performing engineering teams
• Strong stakeholder management skills across business and technical audiences
• Comfortable working within distributed teams and multiple time zones
• Experience operating within both fast-paced, lean organisations and larger enterprise environments
• Passion for building data cultures, improving engineering standards, and delivering business impact through data

What They Offer

Competitive base salary
Fully remote working from Netherlands
Opportunity to own and shape a business-critical data platform
Exposure to executive stakeholders and strategic technology decisions
Chance to build and scale a high-performing data engineering function
Collaborative international environment with significant growth plans
Strong focus on innovation, AI adoption, and modern engineering practices

How to Apply

If you are looking for an opportunity to combine data platform ownership, people leadership, architecture, and business impact in a growing international organisation, please apply with your latest CV.

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Senior Data Consultant

Up to £70,000 + bonus

London/Hybrid

The Overview

This is an opportunity to join a growing data and technology consultancy delivering complex transformation programmes across data, analytics, engineering and software development. You’ll work on high-impact projects, remain hands-on with modern technologies, and play a key role in shaping technical standards and mentoring others within the team.

The Company

They are a fast-growing consultancy focused on helping organisations modernise their data platforms, improve decision-making capabilities, and deliver large-scale transformation initiatives. Working across a diverse portfolio of clients, they support data infrastructure, analytics, software development, and cloud transformation projects.

Their environment is collaborative, entrepreneurial, and delivery-focused, offering exposure to a wide variety of technical challenges. With strong growth plans and an experienced leadership team, they provide an excellent opportunity for consultants who enjoy combining hands-on engineering with client engagement.

The Role

As a Senior Data Consultant, you will take ownership of technical delivery across client projects while remaining close to the build. You’ll help design scalable solutions, guide best practices, and work directly with senior stakeholders to solve complex business problems.

Responsibilities include:

• Designing and developing scalable data pipelines and modern data platforms
• Leading technical delivery across multiple client engagements
• Building robust data models and data warehouse solutions
• Collaborating with stakeholders to translate business requirements into technical solutions
• Reviewing code and driving engineering best practices
• Supporting cloud infrastructure, data integration, and migration projects
• Presenting technical recommendations to senior business stakeholders
• Mentoring and supporting the development of other consultants and engineers
• Contributing to architecture, platform, and tooling decisions
• Supporting enterprise-scale transformation and modernisation programmes

Your Skills & Experience

• Strong commercial experience with SQL and data engineering principles
• Proven expertise delivering solutions using dbt
• Experience building and maintaining production-grade data pipelines
• Strong understanding of data modelling and data warehousing concepts
• Experience working with cloud platforms such as Azure, AWS, Databricks, or BigQuery
• Ability to own technical projects from design through to delivery
• Strong stakeholder management and communication skills
• Experience presenting technical concepts to non-technical audiences
• Familiarity with BI and analytics platforms such as Looker
• Experience working with APIs, integrations, version control, and modern engineering practices
• Degree in a STEM-related discipline from a leading university

What They Offer

• Salary of £60,000 – £70,000 plus bonus
• Flexibility to consider exceptional candidates up to £75,000
• Hybrid working model with four days per week in the London office
• Exposure to large-scale data transformation and migration programmes
• Opportunity to work with modern technologies including SQL, Python, dbt, Databricks, BigQuery, Azure, AWS and Looker
• Clear progression opportunities within a growing consultancy
• The chance to influence technical standards, architecture decisions, and team development
• Varied project work across data engineering, analytics, cloud, and software development

How to Apply

If you’re a Senior Data Consultant looking for a role that combines hands-on technical delivery, client engagement, and leadership opportunities, apply today to learn more.

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Principal Engineer, Enterprise Data Integration
Life Sciences | Informatica IDMC | Enterprise Data Architecture

About the Role

This is a rare opportunity to come in as the first internal hire on a data team being built from the ground up at an established life sciences company. This is not a role for someone who executes within a defined system – it is a role for someone who defines the system.

As Enterprise Data Integration Leader, you will own the architecture, strategy, and delivery of enterprise-scale data integration across business units. You will be the thought leader who sets the integration lifecycle, establishes security and governance best practices, manages external vendors and development teams, and translates complex technical decisions into clear direction for business and executive stakeholders.

If you have deep Informatica IDMC expertise, have operated at true enterprise scale in pharma or life sciences, and have the leadership presence to influence without authority – this was built for you.

What You Will Own

Architecture & Technical Leadership

• Define and own the enterprise data integration architecture across all business units
• Establish the integration lifecycle – from design standards and development practices through deployment, monitoring, and retirement
• Set security best practices for data integration, including access controls, data masking, and compliance alignment in regulated life sciences environments
• Evaluate and recommend tooling, platforms, and integration patterns with a long-term perspective
• Serve as the internal subject matter expert and technical authority on Informatica IDMC and the broader integration ecosystem

Integration Delivery

• Design and oversee the build of enterprise-grade data pipelines, ETL/ELT workflows, and data transformation frameworks
• Ensure data integration solutions meet performance, reliability, and scalability requirements at enterprise scale
• Work across business units to align integration approaches, reduce duplication, and build reusable assets
• Drive adoption of modern data integration patterns and tooling across the organization

What We’re Looking For

Required

• Informatica IDMC – deep, hands-on expertise; this is non-negotiable
• Life sciences or pharma background – experience operating in regulated, compliance-sensitive data environments
• Enterprise-scale data integration experience – you have designed and delivered integration solutions at true enterprise scale, not departmental projects
• Vendor management experience – managing external development partners, holding vendors accountable, resolving issues
• End-to-end integration thought leadership – you don’t just build pipelines; you define how integration should be done across an organization
• Cross-functional collaboration skills – you have worked across business units and earned the trust of both technical and non-technical stakeholders
• Player-coach mentality – equally comfortable setting architectural direction and rolling up your sleeves to solve a hard problem
• Strong communication skills – you can present integration strategy to an executive audience and explain a technical tradeoff to a business analyst

Technical Stack

• Informatica IDMC – primary and required platform
• Snowflake (or equivalent cloud data platform – Databricks, BigQuery, Redshift)
• MuleSoft or Fivetran – experience with complementary integration platforms a strong plus
• dbt – for data transformation and modeling within the integration stack
• BI tools (Tableau, Power BI, Looker) – helpful but not required

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Overview

A growing healthcare technology organisation is seeking an experienced Healthcare Data Research Analyst to bridge the gap between healthcare domain expertise, data analysis, research, and product development.
This position focuses on investigating complex healthcare questions, interpreting policy and regulatory requirements, evaluating healthcare datasets, and creating clear, defensible data definitions that can be leveraged by product, engineering, analytics, and AI teams. The ideal candidate thrives in ambiguity, enjoys solving difficult research problems, and can translate healthcare concepts into structured analytical logic.
The role has a strong emphasis on public healthcare programs, healthcare claims data, program integrity initiatives, and service delivery analysis.

Key Responsibilities

• Research healthcare regulations, policy guidance, program documentation, clinical concepts, and external data sources to answer business and product questions.
• Translate healthcare policies and operational requirements into structured data definitions, rules, and analytical frameworks.
• Evaluate claims, encounter, eligibility, enrollment, and related healthcare datasets to identify meaningful cohorts, utilisation patterns, services, and outcomes.
• Validate research findings and business definitions through data analysis and testing.
• Assess potential external data sources that could enhance analytical capabilities or product functionality.
• Develop and test SQL-based logic to explore datasets and validate assumptions.
• Produce detailed documentation explaining methodologies, definitions, assumptions, and validation results.
• Present and defend analytical approaches and findings to cross-functional stakeholders.
• Support research, experimentation, and early-stage product development initiatives.
• Help transform ambiguous business questions into clear technical and analytical requirements.
• Collaborate with product, engineering, data science, AI/ML, analytics, and customer-facing teams.
• Serve as a subject matter expert on the relationship between healthcare policy, operational processes, and healthcare data.

Required Qualifications

• 5+ years of experience in healthcare analytics, healthcare research, healthcare informatics, clinical analytics, or a related field.
• Deep knowledge of public healthcare program data, including claims, encounters, eligibility, enrollment, and healthcare coding systems.
• Strong understanding of healthcare delivery models, services, and reimbursement concepts.
• Experience interpreting healthcare regulations, program guidance, policy documents, or clinical documentation.
• Demonstrated ability to convert policy requirements and healthcare concepts into analytical logic and data definitions.
• Advanced SQL skills and experience working with large structured datasets.
• Strong Excel proficiency.
• Excellent written and verbal communication skills.
• Proven ability to document, explain, and defend analytical decisions.
• Experience working independently with ambiguous or loosely defined business challenges.
• Strong investigative mindset and problem-solving capabilities.
• Ability to collaborate effectively with technical and non-technical stakeholders.
• Must be legally authorised to work in the United States without sponsorship.

Preferred Qualifications

• Experience with home and community-based healthcare services or related care delivery models.
• Experience supporting program integrity, compliance monitoring, fraud detection, waste reduction, or abuse prevention initiatives.
• Familiarity with state or public healthcare systems.
• Background researching healthcare policy and regulatory requirements.
• Experience addressing healthcare data quality and governance challenges.
• Knowledge of business intelligence tools such as Tableau, Power BI, or Looker.
• Exposure to AI, machine learning, or large language model technologies.
• Experience with research, prototyping, experimentation, or innovation-focused projects.

Technology Requirements

Required

• SQL
• Excel
• Healthcare claims and operational data
• Knowledge of Medicare, Medicaid, or similar public healthcare programs

Preferred

• Tableau, Power BI, or Looker
• AI/LLM tools
• Additional healthcare analytics and research technologies

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Senior/Lead Data Consultant

Up to £70k base + bonus + benefits

London – Permanent Role – 4x a week in the office

The Role

We are working with a growing data consultancy looking for a Senior/Lead Data Consultant to join its Data Infrastructure practice.

You’ll combine hands-on technical delivery, client engagement and mentoring, working across data engineering, modelling, BI, analytics and integrations. You’ll also have the opportunity to take technical ownership of client engagements and help shape solutions from end to end.

Requirements

• Strong background as a Senior Data Engineer, Analytics Engineer or Data Consultant.
• Strong SQL, data modelling and dbt experience.
• Experience building and supporting production data pipelines and BI solutions.
• Knowledge of Python, APIs, Git and cloud infrastructure, ideally AWS.
• Comfortable working across different technologies and client environments.
• Strong communication skills with the ability to engage senior client stakeholders.
• 2:1 or above in a STEM-related degree.

What Will Make You Stand Out

• Previous technical or delivery leadership experience.
• Consultancy or strong client-facing experience.
• Experience across modern data stacks such as Fivetran, Databricks, dbt and Looker.
• A track record of mentoring and developing engineers.
• Someone who enjoys solving complex problems, working independently and adapting to new technologies.

If you are interested in the role please apply, to follow up please message me on LinkedIn or email.

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AI Engineer (Contract)

Amsterdam / Hybrid | Competitive Day Rate | Contract

A digital-first organisation is looking for an AI Engineer Contractor to help deliver Generative AI solutions across its analytics and reporting landscape.

The Role

Build and deploy GenAI applications
Develop AI-powered analytics and reporting solutions
Deliver production-ready tools that drive business value
Work closely with Data & AI stakeholders

Your Skills & Experience

Hands-on experience with Generative AI and LLMs
Experience deploying AI solutions into production
Strong Python and modern AI tooling experience
Background delivering analytics-focused use cases

What They Offer

Competitive contract rate
High-impact AI projects
Opportunity for contract extension

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