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ANALYTICS ENGINEER
LONDON/HYBRID
UP TO £80,000

This is an exciting opportunity to join a well-established, data-driven organisation investing heavily in its analytics capabilities. You’ll play a central role in shaping the data models, reporting infrastructure, and analytical foundations that support decision-making across multiple business functions.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Design, build, and maintain scalable data models using dbt
• Develop and optimise ELT/ETL processes for analytical use cases
• Support the organisation’s Looker environment, including LookML development
• Work closely with Data Engineering teams to prepare and model data effectively
• Build reliable, well-documented datasets that analysts can confidently consume
• Implement data quality checks, testing, and monitoring processes
• Support analytics projects across marketing, product, commercial, and operational teams
• Contribute to the development of AI-enabled analytics capabilities and conversational analytics tooling
• Identify opportunities to automate, optimise, and improve existing workflows

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in Analytics Engineering, Data Engineering, or modern BI development
• Advanced SQL skills with the ability to write efficient, scalable queries
• Hands-on experience with dbt
• Experience with GCP
• Experience with Airflow
• Strong experience building and maintaining ELT/ETL pipelines
• Experience working with Looker and LookML
• Knowledge of dimensional modelling and analytics best practices
• Experience collaborating with both technical and non-technical stakeholders
• Experience working with AI tooling

APPLY BELOW

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Operations Analytics and Insight Lead

Up to £100,000

London/Hybrid

The overview

This is an opportunity to lead a high-impact analytics function within a fast-paced, data-driven organisation. Combining hands-on analytics leadership with strategic influence, you will help shape operational decision-making, drive automation initiatives, and play a key role in the development of AI-powered products and processes.

The Company

They are a well-established digital business with a large international customer base and a strong commitment to data and technology. Analytics sits at the heart of commercial and operational decision-making, with significant investment being made in data capabilities, automation, and AI.

Operating in a dynamic and fast-moving environment, they offer the opportunity to work with large-scale customer and operational datasets while partnering closely with senior stakeholders across the business. Their analytics function is mature, collaborative, and focused on delivering measurable business impact.

The Role

As the Operations Analytics and Insight Lead, you will combine people leadership, hands-on analysis, and strategic planning to improve operational performance and support business growth.

Key responsibilities include:

• Leading and developing a team of analysts while supporting their technical and professional growth
• Setting the analytics strategy for operational functions and influencing senior stakeholder decision-making
• Creating frameworks to measure operational performance and identify opportunities for improvement
• Bringing structure and prioritisation to a reactive analytics environment
• Delivering hands-on analysis, including experimentation, A/B testing, and statistical evaluation
• Automating manual reporting and analytical processes to improve efficiency and scalability
• Supporting AI and chatbot initiatives by developing operational context and performance insight
• Providing analytics and measurement frameworks for internal AI and copilot tools
• Working closely with operational leaders to shape roadmaps and prioritise analytical delivery

Your Skills & Experience

• Strong commercial experience leading analytics teams and developing analytical capability
• Advanced SQL skills with the ability to remain hands-on in technical delivery
• Experience influencing senior stakeholders and translating analysis into business action
• Strong statistical knowledge, including experimentation and significance testing
• Experience working within fintech, financial services, or another regulated environment
• Practical experience using AI tools to improve processes, productivity, or decision-making
• Ability to balance strategic thinking with day-to-day analytical execution
• Experience working with analysts and technical data teams such as analytics engineering is advantageous
• Exposure to operational analytics, customer service analytics, workforce management, process optimisation, or KYC analytics is beneficial
• Experience with tools such as Looker, dbt, Airflow, and Git is advantageous

What They Offer

• Salary of £100,000 plus bonus and benefits
• Hybrid working model with three days per week in the office
• Leadership responsibility for an established analytics team
• Significant exposure to senior stakeholders and business strategy
• The opportunity to influence AI, automation, and chatbot initiatives
• A highly visible role with genuine scope to shape how analytics supports operational performance
• Strong long-term career development within a data-centric organisation

How to Apply

If you are an experienced analytics leader who enjoys combining technical delivery, team leadership, and strategic influence, please apply to learn more about this opportunity.

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HEAD OF DATA ENGINEERING

£90,000

LONDON

This is a fantastic opportunity to join a globally recognised transportation and logistics organisation as it undergoes a major cloud and data transformation. You’ll take ownership of the data engineering function, shape the long-term strategy, and build a high-performing team that will have a direct impact on business-wide decision making.

THE COMPANY

Our client is a leading international logistics and transportation business operating at global scale. Backed by a major multinational group, they are investing heavily in modernising their technology and data capabilities, transitioning from legacy systems to a cloud-native data platform. This role offers the chance to lead that transformation while building a sustainable in-house engineering capability.

THE ROLE

• Lead, mentor and develop a team of 8-10 Data Engineers across onshore and offshore locations
• Define and deliver the data engineering strategy, roadmap and best practices
• Drive the migration from legacy on-premise technology to a modern AWS and Snowflake data platform
• Build internal capability and reduce reliance on external contractors
• Partner closely with Architecture, Analytics and senior business stakeholders
• Oversee platform reliability, support processes and engineering standards
• Provide technical leadership across data platform and engineering initiatives

YOUR SKILLS AND EXPERIENCE

• Strong background in Data Engineering with previous people leadership experience
• Experience managing engineering teams of roughly 8-10 individuals
• Strong knowledge of Python, SQL, ETL/ELT pipelines and data warehousing concepts
• Experience working with cloud platforms, ideally AWS and Snowflake
• Good understanding of data modelling and modern data architecture principles
• Experience delivering cloud transformation or platform modernisation programmes
• Strong stakeholder management and communication skills
• Comfortable leading teams through organisational change and growth

SALARY AND BENEFITS

• Bonus of up to 40%
• 8% employer pension contribution
• 26 days holiday plus bank holidays
• Option to purchase up to 5 additional holiday days
• Life assurance and personal accident cover
• Free on-site gym access
• Opportunity to work overseas for up to one month per year
• Hybrid working model (3 days per week in office)

HOW TO APPLY

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

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Analytics Engineer (DBT, GCP, LOOKER)

Permanent Role

£70,000-£80,000 + Benefits
London – Hybrid (3 days per week)

I am currently recruiting for an Analytics Engineer to join a leading global organisation within their growing Data & Analytics function.

This is a hands-on role where you will take ownership of the modelled data layer, working with dbt and BigQuery to build the data products that underpin reporting, self-service analytics and data activation across the business.

You will work closely with Data Engineering, analysts and wider stakeholders, helping to evolve the data warehouse into a scalable global platform and shaping best practices around data modelling, quality and documentation.

The Role:

• Design, build and maintain staging, mart and analytics models using dbt and BigQuery
• Develop scalable data models supporting multiple regions and entities
• Build and maintain data models powering Looker / LookML
• Implement data quality through dbt testing, monitoring and alerting
• Work with Data Engineering around upstream dependencies and data contracts
• Maintain data lineage, documentation and metric definitions
• Review SQL and dbt work and help improve modelling standards
• Optimise query performance, costs and deployment workflows
• Support the use of AI / LLM tools on top of well-modelled data

What we’re looking for:

• 3+ years’ experience across Analytics Engineering, Data Engineering or BI Development
• Strong SQL skills with experience building production data models
• Hands-on experience with dbt, including models, tests, macros and documentation
• Strong production experience with BigQuery
• Experience using Python for data work and automation
• Experience with Airflow or Cloud Composer
• Strong understanding of dimensional data modelling
• Experience with Looker / LookML or a similar BI platform
• Good understanding of Git and modern data development practices

Desirable:

• Wider GCP experience
• Experience working with Kafka / event data
• Experience migrating or restructuring data warehouses
• Experience supporting global or multi-region data platforms
• Interest in AI / LLM applications within data and analytics

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

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Analytics Engineer

Up to £80,000

London/Hybrid

The Overview

This is an excellent opportunity for an Analytics Engineer to join a highly data-driven organisation where analytics is central to commercial decision-making. You’ll focus on building scalable data models, improving analytics capabilities, and helping shape the foundations that enable analysts and stakeholders to make better decisions across the business.

The Company

They are a well-established, technology-led business operating at scale, with a strong focus on digital products, customer experience, and data-driven growth.

Data and analytics are heavily invested in across the organisation, creating a collaborative environment where engineering and analytics teams work closely together. With a mature analytics function and ambitious data initiatives, this is an opportunity to make a meaningful impact while working on high-value projects.

The Role

As an Analytics Engineer, you will be responsible for designing and maintaining analytical data models that support reporting, decision-making, and advanced analytics across the organisation.

Key responsibilities include:

• Building and maintaining robust data models and ELT/ETL pipelines using dbt and SQL
• Collaborating closely with Data Engineering teams to ensure data is structured and prepared for analytical use
• Supporting analysts through Looker and LookML development
• Delivering data solutions aligned to business projects and strategic initiatives
• Improving automation and processes related to analytics and AI-enabled tools
• Working with orchestration technologies and supporting wider analytics engineering initiatives
• Contributing to the scalability and reliability of the organisation’s analytics foundations

Your Skills & Experience

To be successful in this Analytics Engineer role, you should have:

• Strong commercial experience building and maintaining ELT/ETL pipelines
• Advanced SQL skills and confidence working with large-scale datasets
• Hands-on experience with dbt
• Strong experience with Looker and LookML
• Experience developing analytical data models for business and analytics users
• Ability to collaborate effectively with both technical and non-technical stakeholders

Experience with any of the following would be beneficial:

• Google Cloud Platform (GCP)
• Airflow, Cloud Composer, or similar orchestration tools
• Kafka
• Analytics-focused AI applications, conversational analytics, or chatbot context management
• Modern cloud-based data environments

What They Offer

• Salary of up to £80,000
• Performance-related bonus
• Comprehensive benefits package
• Hybrid working model with three days per week in the office
• Exposure to large-scale data and analytics projects
• Opportunities to work with modern data technologies and AI-enabled analytics solutions
• The chance to influence analytical best practices and contribute to the growth of a mature analytics function

How to Apply

If you’re an Analytics Engineer with strong SQL, dbt, Looker, and LookML expertise and are looking for an opportunity to work on impactful analytics engineering projects, please apply today.

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Engineering Director

UK Remote

Up to £135,000 + 15% Bonus

This is an excellent opportunity to join a newly established Data Hub function and play a leading role in shaping the future of enterprise data and AI. You’ll combine strategic leadership with hands-on technical oversight, helping build a scalable data platform that will support business-wide decision making and innovation.

The Company

They are investing heavily in their data capabilities, bringing previously fragmented data environments together into a single, governed platform. With strong backing from senior leadership and a clear roadmap in place, the Data Hub is a key strategic initiative designed to enable analytics, operational efficiency, and future AI use cases.

The Role

You will lead the Data Hub engineering team, owning delivery, technical direction, and team development.

Responsibilities include:

• Leading and mentoring data engineering teams
• Driving delivery of a modern enterprise data platform
• Owning architecture and technical decision-making
• Consolidating legacy systems into a scalable, governed environment
• Partnering with business and product stakeholders
• Managing distributed engineering teams and delivery processes
• Establishing engineering best practices across Agile, DevOps, quality, and reliability
• Contributing to the wider data and AI strategy

Your Skills & Experience

• Strong people leadership within data or platform engineering
• Deep Snowflake and DBT expertise
• Experience delivering large-scale data platform programmes
• Strong SQL and Python skills
• Data architecture and governance experience
• Agile delivery leadership
• Excellent stakeholder management and communication skills
• Experience leading offshore or distributed teams
• Hands-on technical credibility

Desirable:

• Databricks
• AI/ML platforms and workflows
• Agent-based AI solutions
• Backend or full-stack engineering exposure

What They Offer

• Up to £135,000 base salary
• 15% annual bonus
• Fully remote working in the UK
• Opportunity to build a newly formed Data Hub function
• Significant influence over platform strategy and architecture
• Exposure to modern data and AI technologies
• Clear growth and leadership opportunities as the team expands

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Chief Data Officer | London | £160,000-£180,000 + Benefits

We’re partnering with a high-growth, PE-backed financial services business to appoint a Chief Data Officer who can take its data function to the next level.

This is a genuine transformation role, with executive-level visibility and the opportunity to reshape the data organisation, modernise the data estate and make data a core driver of business growth.

The opportunity:

• Define and deliver the organisation-wide data strategy
• Transform the data operating model, team and capabilities
• Lead the development of a modern cloud data platform, lake and warehouse environment
• Build scalable, self-service data and analytics capabilities
• Strengthen data engineering, architecture, governance and analytics
• Partner with Product, Technology and the wider leadership team
• Drive the use of AI and automation to improve productivity and customer experience
• Use data to enhance onboarding, personalisation and customer journeys

We’re looking for:

• Senior data leadership experience at Director, VP or CDO level
• Proven experience transforming or scaling enterprise data functions
• Strong technical understanding across data engineering, architecture, cloud and analytics
• Experience building modern data platforms and self-service capabilities
• Strong executive stakeholder management and commercial judgement
• Azure / Microsoft data ecosystem experience is highly desirable
• Financial services, fintech or another regulated environment would be advantageous

Hybrid: London, 1 day per week in the office.

An opportunity to own the data agenda at executive level and build a modern, scalable function from the ground up.

Find out more and apply via the link below!

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Data Scientist

£45,000 – £55,000

Merseyside (3 days a week in office)

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 – £55,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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Data Scientist

£45,000 – £55,000

Merseyside (3 days a week in office)

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You’ll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you’ll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 – £55,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

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Operations Analytics & Insight Lead | London | £100,000 + Bonus + Benefits

We’re looking for an experienced Operations Analytics & Insight Lead to join a fast-paced, technology-led business and lead a team of 4-5 analysts, with additional analytics engineering support.

This is a hands-on leadership role (60% hands-on / 40% strategic), with the opportunity to shape the analytics roadmap, influence senior stakeholders and drive greater use of automation and AI across Operations.

Key responsibilities:

• Lead, develop and mentor a team of 4-5
• Shape the analytics strategy and move the team from reactive requests to a structured roadmap
• Deliver hands-on analysis using SQL, experimentation and statistical testing
• Identify operational inefficiencies and opportunities for automation
• Support AI, chatbot and internal copilot initiatives, including measuring their effectiveness
• Influence senior stakeholders through data-driven insight

We’re looking for:

• 2+ years’ people management experience
• Strong SQL and analytical/statistical skills
• Experience managing analysts and ideally analytics engineers
• Strong stakeholder management and strategic thinking
• Practical experience using AI/Copilot tools to improve processes
• Experience in fintech, financial services or another regulated environment is desirable
• dbt, Airflow, Git and Looker experience would be a plus

Hybrid: 3 days per week in the London office.

A great opportunity for an analytically strong people leader who wants to combine hands-on delivery, strategy, automation and AI in a high-impact role.

Find out more and apply via the link below!

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Senior Credit Risk Manager
London, hybrid | Salary up to £110,000
This is an opportunity to step away from traditional credit risk responsibilities and take ownership of high-impact lending initiatives. You’ll play a key role in shaping new products, customer strategies, and lending capabilities within a fast-paced FinTech environment.
The Company
They are an established FinTech business operating within consumer lending, with a strong foundation in credit risk and lending operations. Having built a successful core business, they are now investing in innovation and transformation to develop new lending capabilities and unlock future growth.
The organisation offers a collaborative environment where ideas are encouraged, experimentation is supported, and individuals have the autonomy to drive meaningful change. This is a hands-on business where ownership and commercial impact are highly valued.
The Role
As a Senior Credit Risk Manager, you will be responsible for identifying, developing, and delivering strategic initiatives that enhance lending performance and create new opportunities for growth.
Key responsibilities include:

• Developing new lending propositions, customer segments, and distribution channels
• Building and implementing innovative credit strategies and capabilities
• Identifying opportunities to increase customer value through cross-sell and re-lending initiatives
• Owning projects from concept through to implementation and operational handover
• Assessing commercial viability through analysis, modelling, and performance tracking
• Collaborating with Product, Commercial, Finance, Operations, and Risk teams to deliver business outcomes
• Influencing stakeholders and driving initiatives without direct management responsibility
• Taking accountability for measurable business impact and long-term success

Your Skills & Experience

• Strong credit risk experience within a FinTech, consumer lending, or related lending environment
• Advanced SQL skills and the ability to work independently with data
• Python experience is desirable
• Strong understanding of credit strategy, pricing, and lending economics
• Experience developing new products, propositions, or lending initiatives
• Commercially focused with the ability to evaluate opportunities and make data-driven decisions
• Comfortable operating as an individual contributor and leading through influence
• Strong stakeholder management and communication skills
• A proactive mindset with a passion for innovation and continuous improvement

What They Offer

• High-visibility role with direct exposure to senior leadership
• Opportunity to shape lending strategy and business growth
• Significant ownership and autonomy
• Collaborative and entrepreneurial working culture
• Clear opportunity to deliver measurable commercial impact
• Exposure to a broad range of strategic, product, and credit initiatives

How to Apply
If you’re a commercially minded credit risk professional who enjoys building new solutions and driving innovation within lending, apply today to discuss this opportunity in more detail.

To Apply for this Job Click Here

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Operations Analytics and Insight Lead
London (Hybrid) | £100,000 + Bonus + Benefits

If you’re looking for a leadership role that combines hands-on analytics, strategic influence, people management, and emerging AI initiatives, this is an excellent opportunity. You’ll play a key role in shaping how a data-driven organisation uses analytics to improve operational performance, automate processes, and support AI-enabled products.

The Company
They are a well-established, technology-led organisation with a large and engaged customer base. Analytics is a core function within the business, supporting decision-making across operations, customer experience, and commercial strategy. They continue to invest heavily in data, automation, and AI capabilities, creating an environment where analytics leaders can make a visible impact. The culture is fast-paced, collaborative, and focused on continuous improvement.

The Role
You will lead a team of analytics professionals while remaining closely involved in the technical delivery of analytical projects.
Key responsibilities include:

• Leading, coaching, and developing a team of analysts and technical specialists
• Shaping the analytics roadmap and partnering with senior stakeholders to prioritise business needs
• Developing frameworks to measure operational performance and identify opportunities for improvement
• Delivering hands-on analysis, including experimentation, statistical testing, and operational insight generation
• Influencing senior leaders through data-driven recommendations and strategic thinking
• Automating manual processes and improving analytical ways of working
• Supporting AI and chatbot initiatives by building operational context and measurement frameworks
• Providing insight into the performance and adoption of internal AI tools and copilots
• Driving a more structured, scalable approach within a fast-moving operational environment

Your Skills & Experience

• Strong commercial experience in analytics leadership and people management
• Advanced SQL skills with the ability to remain hands-on technically
• Experience leading analytical initiatives that influence operational or commercial strategy
• Strong statistical knowledge, including experimentation and significance testing
• Experience working with stakeholders at multiple levels, including senior leadership
• Ability to balance strategic planning with day-to-day delivery
• Experience using AI tools to improve processes and productivity
• Exposure to regulated industries such as financial services, fintech, insurance, telecommunications, or similar environments is advantageous
• Experience with modern analytics tools such as Looker, dbt, Airflow, or Git is beneficial
• Background in operational analytics, customer service analytics, workforce management, process optimisation, or related areas is highly desirable

How to Apply
If you’re an experienced analytics leader who enjoys combining technical delivery, team leadership, and strategic influence, please apply to discuss this opportunity in more detail.

To Apply for this Job Click Here