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Senior Data Analyst

Up to 90K/Remote

The Overview

This is an exciting opportunity for a Senior Data Analyst to join a fast-growing digital business where data plays a central role in shaping commercial, product, and customer decisions. You’ll have the chance to influence business strategy, build impactful self-serve analytics solutions, and work on high-visibility projects that directly support growth.

The Company

They are a high-growth consumer-focused business that places data at the heart of decision-making. With a modern data stack and a strong commitment to analytical innovation, they are continuing to invest in their analytics capability as they scale. The business promotes a collaborative culture where insights drive meaningful action and where analysts are empowered to make a measurable impact. This is an environment where curiosity, ownership, and continuous improvement are highly valued.

The Role

You will:

• Partner with stakeholders across Product, Commercial, Growth, and other business functions to solve complex business challenges through data.
• Translate business questions into structured analytical approaches, actionable insights, and clear recommendations.
• Develop and enhance BI reporting, dashboards, and self-serve analytics capabilities.
• Build scalable reporting solutions that improve data accessibility and support confident decision-making.
• Deliver customer, product, and commercial analysis to identify opportunities, trends, and risks.
• Support experimentation initiatives, including A/B testing analysis and performance measurement.
• Communicate insights effectively to both technical and non-technical stakeholders.
• Contribute to raising analytical standards and improving data-driven decision-making across the organisation.

Your Skills & Experience

• Strong commercial experience in data analytics within a fast-paced environment.
• Advanced SQL skills and a proven ability to solve complex analytical problems.
• Experience developing BI reporting, dashboards, and self-serve analytics solutions.
• Strong experience with Looker, Omni, or similar modern BI platforms.
• Understanding of experimentation methodologies and A/B testing analysis.
• Experience translating stakeholder requirements into scalable analytical outputs.
• Exposure to dbt or analytics engineering principles is beneficial.
• Python experience is advantageous but not essential.
• Excellent stakeholder management and data storytelling skills.
• Ability to work autonomously and thrive in a dynamic, evolving environment.

What They Offer

• Salary up to £90,000.
• Remote-first working across the UK.
• Private healthcare package.
• Income protection benefits.
• Flexible working arrangements.
• Enhanced holiday entitlement linked to tenure.
• Home office support.
• Access to employee discount and salary sacrifice schemes.
• Clear progression opportunities into leadership and broader strategic analytics roles.
• Exposure to innovative analytics projects, including customer intelligence, experimentation, and advanced analytics initiatives.

How to Apply

If you’re a commercially minded Senior Data Analyst looking to make a significant impact in a growing, data-driven business, apply today to learn more about this opportunity.

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SENIOR DATA ANALYTICS CONSULTANT
LONDON/HYBRID
UP TO £65,000

If you’re looking for a role that combines advanced analytics with genuine client influence, this is an excellent opportunity to join a leading global data and AI consultancy. You’ll work on high-profile analytics engagements, helping major organisations use data to improve decision-making, drive growth, and unlock commercial opportunities.

ROLES AND RESPONSIBILITIES:
The Senior Data Analytics Consultant will:

• Lead client-facing analytics engagements and building trusted stakeholder relationships.
• Understand business challenges and translating requirements into analytical solutions.
• Present insights and recommendations to both technical and non-technical audiences.
• Work with large and complex datasets to identify trends, risks, and growth opportunities.
• Develop SQL-based analytical solutions and scalable reporting frameworks.
• Build and maintaining dashboards using tools such as Tableau, Looker, or similar BI platforms.
• Harmonise multiple data sources and ensuring data quality and consistency.
• Apply statistical and analytical techniques to uncover drivers of business performance.
• Manage project timelines, risks, governance, and stakeholder communications.
• Collaborate with data, engineering, and consulting teams to deliver high-quality solutions.

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Advanced SQL skills, including data extraction, transformation, optimisation, and analysis.
• Strong background in data analytics and business intelligence.
• Experience working with large and complex datasets.
• Stakeholder management and client-facing experience.
• Dashboard development using Tableau
• Ability to translate analytical findings into actionable business recommendations.
• Strong communication and data storytelling skills.
• Experience presenting insights to technical and non-technical audiences.
• Commercial mindset with the ability to explain the drivers behind business performance.

APPLY BELOW

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Analytics Engineer
London (Hybrid) | Up to £80,000

A fantastic opportunity to join a growing digital business where data plays a key role in driving commercial and product decisions. This position offers end-to-end ownership across analytics, engineering, and BI within a modern cloud environment.

The Company

A fast-scaling, customer-focused organisation investing heavily in its data platform. You’ll join a collaborative team with plenty of opportunity to influence data strategy and deliver real business impact.

The Role

• Build and maintain end-to-end data pipelines
• Develop scalable data models using dbt and BigQuery
• Create Python-based ingestion and automation processes
• Build dashboards and reporting solutions for business stakeholders
• Partner with product, engineering, marketing, and commercial teams
• Improve data quality, performance, and scalability across the platform

Your Skills & Experience

• Strong experience in Analytics Engineering or Data Engineering
• Hands-on experience with GCP, particularly BigQuery
• Strong dbt, SQL, and Python skills
• Experience building BI dashboards and reporting solutions
• Familiarity with Git and modern development practices
• Strong communication and stakeholder management skills

What They Offer

• Salary up to £80,000
• Hybrid working
• Modern cloud-based data stack
• High level of ownership and autonomy
• Excellent progression opportunities
• Please note that sponsorship is not available for this position.

How to Apply

Apply now!

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Analytics Engineer

£70,000 – £80,000 + Benefits | Permanent | Hybrid, South East London (3 Days per Week Onsite)

The Role:

• Own the end-to-end data lifecycle, from ingestion and transformation through to reporting and insights delivery.
• Build and maintain scalable data pipelines to support business-wide reporting and analytics.
• Develop robust data models using modern cloud-based technologies and analytics engineering best practices.
• Create dashboards, KPI reporting, and self-service analytics solutions.
• Partner with stakeholders to translate business requirements into data-driven solutions.
• Drive continuous improvements in data quality and reporting capabilities.

Requirements:

• Strong experience in Analytics Engineering, Data Engineering, BI, or similar roles.
• Advanced SQL skills.
• Hands-on Python experience.
• Expertise with dbt and cloud data warehouses.
• Experience building dashboards and reporting solutions.
• Excellent stakeholder communication skills.

What Will Make You Stand Out:

• Experience in a high-growth environment.
• Knowledge of Google Cloud and BigQuery.
• Experience across the full analytics stack.
• Commercially minded approach to problem solving.
• Ability to work autonomously and collaboratively.

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

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Senior Data Analyst
Remote UK | Up to £90,000 – No sponsorship offered

A growing digital business is looking for a Senior Data Analyst to join a high-performing analytics team. This is an opportunity to work across a variety of commercial and product-focused projects, helping stakeholders make better decisions through data while driving improvements in reporting and self-service analytics.

The Company

They are a fast-growing, data-driven organisation with a strong focus on innovation and customer experience. Analytics plays a central role in shaping business strategy, product development, and commercial decision-making. This role offers the chance to have visible impact across multiple teams while working with a modern data stack.

The Role

You will:

• Deliver actionable insights to support business and product decisions.
• Build and enhance dashboards, reporting, and self-service analytics capabilities.
• Partner with stakeholders to translate business questions into analytical solutions.
• Identify trends, opportunities, and risks through data analysis.
• Support experimentation, customer analytics, and strategic projects across the business.

Your Skills & Experience

• Strong commercial experience in data analytics.
• Advanced SQL skills.
• Experience building dashboards and BI solutions using tools such as Looker, Omni, or similar.
• Ability to communicate insights clearly to both technical and non-technical audiences.
• Experience working with stakeholders and influencing decision-making through data.
• Exposure to experimentation, analytics engineering, or Python is beneficial but not essential.
• Gaming/betting experience is preferred

What They Offer

• Salary up to £90,000.
• Fully remote working within the UK.
• Comprehensive benefits package.
• Opportunity to work on high-impact analytics initiatives.
• Clear progression opportunities within a growing analytics function.

How to Apply

Apply below or email me at

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Senior Data Analytics Consultant

London (Hybrid, 2-3 days per week) | £60,000 – £65,000 + Benefits | Sponsorship Not Available

An exciting opportunity to join a leading global data and AI consultancy, working with high-profile enterprise clients to solve complex business challenges through analytics. This role offers a blend of hands-on data analysis, stakeholder engagement, and strategic consulting, making it ideal for someone who enjoys turning data into commercial impact.

The Company

They are a global consultancy specialising in data, analytics, and AI solutions for large international organisations. Their teams help businesses make smarter decisions by uncovering insights from complex datasets and translating them into actionable recommendations. With a collaborative culture and strong investment in innovation, they offer excellent opportunities for professional growth and exposure to large-scale analytical projects.

The Role

You will work closely with client stakeholders and analytics teams to deliver insight-led solutions that drive business performance.

Responsibilities include:

• Leading client conversations and translating business challenges into analytical solutions
• Building and maintaining SQL-based reporting and analytics solutions
• Developing dashboards and visualisations using tools such as Tableau or Looker
• Analysing sales, consumer, marketing, and performance data to uncover trends and opportunities
• Presenting recommendations to both technical and non-technical stakeholders
• Managing project delivery, stakeholder communication, and key milestones
• Collaborating with wider analytics and data teams to deliver scalable solutions

Your Skills & Experience

• Advanced SQL skills with experience working on large, complex datasets
• Strong data analytics and business insight generation capability
• Experience using Tableau, Looker, Power BI, or similar BI tools
• Proven stakeholder management and client-facing experience
• Ability to communicate findings clearly and influence decision-making
• Strong commercial awareness and experience translating data into business outcomes
• Experience in consulting, retail, consumer, sales, or marketing analytics is advantageous
• Exposure to Python, R, forecasting, or supply chain analytics is beneficial

What They Offer

• Salary of £60,000 – £65,000
• Hybrid working model with 2-3 days in the London office
• Visa not sponsorship available
• Exposure to global clients and large-scale analytics programmes
• Clear progression opportunities within a growing consultancy
• Collaborative, high-performing environment focused on innovation and development

How to apply

Apply below or email me at

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Senior Data Analytics Consultant

£60,000 + Benefits | Permanent | Hybrid London (2-3 Days per Week Onsite)

The Role

• Partner with stakeholders to understand reporting, analytics, and business intelligence requirements.
• Deliver data-driven insights that support business performance and strategic decision-making.
• Design and develop reporting solutions, dashboards, and self-service analytics capabilities.
• Lead client-facing projects from requirements gathering through to delivery.
• Present reporting outputs and recommendations to both technical and non-technical audiences.
• Drive improvements in reporting processes, data accessibility, and operational efficiency.

Requirements

• 5+ years’ experience in analytics, reporting, business intelligence, or data consulting roles.
• Advanced SQL skills with experience across modern database platforms.
• Strong experience building dashboards and reporting solutions using tools such as Tableau, Power BI, Looker, or similar.
• Experience with data modelling, transformation, and reporting automation.
• Ability to work with large and complex datasets to generate meaningful business insights.
• Excellent stakeholder management and communication skills.
• Experience managing projects and engaging directly with senior business stakeholders.

What Will Make You Stand Out

• Experience delivering analytics solutions within a consulting or client-facing environment.
• Expertise with Google Sheets and the wider Google Workspace ecosystem.
• Experience building scalable KPI frameworks and self-service reporting solutions.
• Knowledge of cloud data platforms such as BigQuery, Snowflake, or similar.
• Exposure to supply chain, forecasting, inventory, or operational reporting.
• Strong analytical mindset with the ability to translate data into actionable recommendations.

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

To Apply for this Job Click Here

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Senior Data Analytics Consultant

London/Hybrid

Up to £65,000

The Overview

Looking to take the next step in your analytics consulting career? This is an opportunity to join a leading global data and AI consultancy, working with high-profile international clients to solve complex commercial challenges through data-driven insights. You’ll combine technical analytics expertise with stakeholder engagement, influencing business decisions and delivering measurable impact.

The Company

They are a global consultancy specialising in data analytics, artificial intelligence, and decision science. Partnering with some of the world’s most recognised organisations, they help businesses unlock growth, improve performance, and make smarter commercial decisions through advanced analytics. Their collaborative environment brings together analytics consultants, data scientists, engineers, and business stakeholders to deliver high-value outcomes. With strong investment in people and career development, they offer excellent opportunities for progression within a growing international business.

The Role

As a Senior Data Analytics Consultant, you will bridge the gap between technical delivery and business strategy, helping clients translate data into actionable commercial recommendations.

Responsibilities include:

• Leading conversations with client stakeholders and developing a deep understanding of business objectives
• Translating analytical findings into clear recommendations and commercial actions
• Managing client relationships and acting as a trusted advisor throughout engagements
• Analysing large, complex datasets to identify trends, risks, and growth opportunities
• Building and maintaining SQL-based analytical solutions
• Creating dashboards and reporting tools using modern BI platforms
• Harmonising multiple data sources to support scalable analysis
• Applying statistical and analytical techniques to understand performance drivers
• Delivering insight-led presentations to both technical and non-technical audiences
• Coordinating with analytics and delivery teams to ensure successful project outcomes
• Managing project milestones, risks, and stakeholder communication

Your Skills & Experience

• Strong SQL skills with experience working on large datasets
• Commercial experience in data analytics, business intelligence, or analytics consulting
• Proven ability to engage and influence stakeholders at multiple levels
• Experience presenting insights and recommendations to business audiences
• Strong understanding of consumer, sales, marketing, or commercial performance data
• Experience using Tableau, Looker, or a similar BI platform
• Ability to explain the drivers behind business performance and translate data into action
• Strong communication and storytelling skills with a consultative approach
• Experience working in client-facing environments

Desirable experience:

• Retail, consumer, or commercial analytics experience
• Forecasting, planning, or revenue analytics exposure
• Consulting or professional services background
• Experience with Python or R

What They Offer

• Salary of £60,000 to £65,000
• Hybrid working model with 2 to 3 days in the London office
• Visa sponsorship available
• Exposure to large-scale international analytics projects
• Clear opportunities for career progression and professional development
• Collaborative environment with access to experienced analytics and AI specialists
• Opportunity to influence strategic business decisions for major global organisations

How to Apply

If you’re passionate about combining analytics expertise with stakeholder engagement and commercial problem-solving, apply today to learn more about this Senior Data Analytics Consultant opportunity in London.

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DATA ENGINEER

up to £60,000 + Benefits
Kent (Hybrid)
This is a great opportunity to join a growing organisation where you can take ownership of customer and business data, helping to drive insight-led decision making across the company.

THE COMPANY:

This organisation operates a nationwide retail network and serves a large customer base across multiple locations throughout the UK. Following significant investment in data, the business is focused on improving customer lifecycle analysis, commercial performance, and operational insight.
With established processes, clear ways of working, and a mature business environment, this offers an excellent opportunity for a Data Engineer looking to make a meaningful impact within a growing data function.

THE ROLE:

You’ll be responsible for building and maintaining data solutions that support both strategic business requirements and customer-focused analytics initiatives.
Key responsibilities include:

• Designing and maintaining robust data pipelines.
• Developing scalable data models within Snowflake.
• Supporting business stakeholders with trusted, accessible data.
• Delivering transformations and workflow automation using modern data tooling.
• Collaborating with analytics teams to enhance reporting and business insight capabilities.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Snowflake
• SQL
• dbt
• Fivetran
• Power BI

THE BENEFITS:

You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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DATA ENGINEER

up to £60,000 + Benefits
Kent (Hybrid)
This is a great opportunity to join a growing organisation where you can take ownership of customer and business data, helping to drive insight-led decision making across the company.

THE COMPANY:

This organisation operates a nationwide retail network and serves a large customer base across multiple locations throughout the UK. Following significant investment in data, the business is focused on improving customer lifecycle analysis, commercial performance, and operational insight.
With established processes, clear ways of working, and a mature business environment, this offers an excellent opportunity for a Data Engineer looking to make a meaningful impact within a growing data function.

THE ROLE:

You’ll be responsible for building and maintaining data solutions that support both strategic business requirements and customer-focused analytics initiatives.
Key responsibilities include:

• Designing and maintaining robust data pipelines.
• Developing scalable data models within Snowflake.
• Supporting business stakeholders with trusted, accessible data.
• Delivering transformations and workflow automation using modern data tooling.
• Collaborating with analytics teams to enhance reporting and business insight capabilities.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Snowflake
• SQL
• dbt
• Fivetran
• Power BI

THE BENEFITS:

You will receive a salary of up to £60,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

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DATA PLATFORM ARCHITECT

up to £100,000 + Benefits
London (Hybrid)

This is a fantastic opportunity to join a large-scale consumer-focused digital organisation, taking ownership of the architectural direction of a modern data platform that sits at the heart of business decision-making, digital growth and AI innovation.

THE COMPANY:

Our client is a highly recognised international digital business with a strong consumer presence and a global audience. Operating across multiple regions, the organisation has invested heavily in its data capabilities and is continuing to transform how data powers decision-making, customer experiences and emerging AI initiatives.
As part of a wider data and technology transformation, they are looking for an experienced Data Platform Architect to help shape the future of their data ecosystem and engineering standards.

THE ROLE:

You will take ownership of data platform architecture, standards and solution design across a growing engineering function. Working closely with platform engineers, analytics engineers, product managers, governance teams and senior stakeholders, you will help ensure data is scalable, trusted and ready to support AI-driven initiatives.
Key responsibilities include:

• Designing and evolving the organisation’s cloud-based data platform architecture
• Assessing and recommending new technologies, tools and data solutions across the business
• Defining architectural standards, best practices and reusable patterns across engineering teams
• Supporting data governance, security, metadata and data quality initiatives
• Providing hands-on guidance around Terraform, dbt, CI/CD, DataOps and platform engineering practices
• Partnering with stakeholders to understand requirements and translate them into scalable technical solutions
• Driving improvements around data lineage, observability, modelling standards and platform governance
• Supporting AI readiness programmes, semantic layer initiatives and self-service data capabilities

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Data Platform Architecture or Data Solutions Architecture experience within modern cloud environments
• Strong experience with Terraform and Infrastructure as Code (IaC)
• Commercial experience using dbt within modern ELT ecosystems
• Strong understanding of DataOps, CI/CD and engineering best practices
• Experience working with governance, security, privacy or risk functions
• Excellent stakeholder management skills with the ability to influence, coach and educate technical team

THE BENEFITS:

You will receive a salary of up to £100,000 depending on experience, alongside a comprehensive benefits package and the opportunity to play a key role in shaping a modern, AI-ready data platform.

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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Lead AI Engineer
This is an opportunity to join a growing AI function at a business investing heavily in artificial intelligence, automation, and digital transformation. You will play a key role in shaping technical direction, delivering production-grade AI solutions, and influencing how AI is embedded across a large, commercially focused organisation.

The Role
You will take ownership of AI initiatives from concept through to production, helping design and deliver solutions that solve real business challenges.
Responsibilities include:

• Leading the design and delivery of production-grade Generative AI and AI-powered solutions
• Owning architecture decisions across AI products and platforms
• Building and deploying LLM, RAG, and agentic AI systems at enterprise scale
• Evaluating build versus buy approaches and making pragmatic technology recommendations
• Working closely with engineering, security, governance, and business stakeholders
• Driving technical standards, best practices, and reusable AI frameworks
• Supporting and mentoring engineers across multiple workstreams
• Contributing to AI strategy and helping prioritise high-value use cases
• Ensuring solutions are scalable, secure, observable, and production-ready

Your Skills & Experience
You will bring:

• Strong commercial experience delivering Generative AI solutions into production
• Proven capability leading end-to-end AI projects from discovery through deployment
• Deep understanding of LLMs, RAG architectures, agentic AI, orchestration, prompting, and evaluation
• Strong software engineering foundations, including APIs, cloud architectures, and system design
• Experience making architecture and technology decisions within complex environments
• Ability to operate effectively in ambiguous and rapidly evolving problem spaces
• Experience collaborating with security, governance, compliance, and data protection teams
• Strong communication skills with the ability to engage technical and non-technical stakeholders
• Experience within enterprise-scale organisations, ideally in regulated environments
• Exposure to AWS and modern AI engineering practices is highly desirable

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