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PRINCIPAL DATA ENGINEER / DATA ARCHITECT

AUSTIN, TX (HYBRID – 4 DAYS ONSITE)

COMPETITIVE BASE + BONUS + FULL BENEFITS

The Opportunity We’re partnering with a leading consumer technology organization to hire a Principal Data Engineer who will serve as a strategic technical leader across enterprise data architecture, platform modernization, governance, and data product initiatives.

This is not a traditional data engineering role focused solely on pipelines and development. This individual will partner closely with senior leadership to shape the future of the organization’s data ecosystem, influence long-term technology investments, evaluate platform strategy, and guide enterprise architecture decisions that directly impact business outcomes.

The ideal candidate combines deep technical expertise with strong communication skills and the ability to influence stakeholders, mentor engineers, and drive large-scale data initiatives from strategy through execution.

The Data Environment The team is focused on building and evolving modern cloud-native data platforms supporting analytics, customer intelligence, operational decision-making, and future AI initiatives.

• Modern cloud-based data architecture and platform modernization
• Data lakes, data warehouses, lakehouse architectures, and semantic layers
• Real-time and event-driven data processing environments
• Enterprise data governance, quality, security, and compliance
• Data products, domain-oriented architecture, and scalable analytics platforms
• Strategic investments supporting long-term business objectives and AI readiness

What You’ll Be Working On

• Define and drive enterprise data architecture strategy across modern cloud data platforms
• Partner with senior business and technology stakeholders to develop long-term data roadmaps and investment strategies
• Evaluate technologies, vendors, and platform capabilities while providing architecture recommendations and business cases
• Lead architectural decisions around data warehouses, data lakes, lakehouse environments, semantic layers, and data products
• Establish and promote best practices for data governance, security, compliance, quality, and cost optimization
• Architect scalable real-time and batch data ecosystems supporting analytics and operational workloads
• Provide technical leadership, mentorship, and guidance across engineering teams
• Review architecture, troubleshoot complex technical challenges, and influence technical direction across multiple teams
• Drive modernization initiatives that improve scalability, performance, reliability, and business value

What We’re Looking For

• 12+ years of experience in data engineering, data architecture, or enterprise data platforms
• Strong experience designing enterprise-scale data architectures and modern cloud data platforms
• Expertise with data warehousing, data lakes, lakehouse architectures, and data modeling best practices
• Experience building or supporting real-time, event-driven, or streaming data platforms
• Strong understanding of data governance, quality, metadata, lineage, security, and compliance frameworks
• Experience developing data strategies, roadmaps, architecture standards, and platform modernization initiatives
• Ability to communicate architectural concepts and recommendations to both technical and executive audiences
• Proven success influencing stakeholders, evaluating technology solutions, and guiding strategic technical decisions
• Strong SQL, data modeling, schema design, and distributed data systems experience
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; advanced degree preferred

Why This Role

• Opportunity to shape enterprise-wide data architecture strategy for a highly visible consumer technology organization
• Direct partnership with senior leadership on technology investments, platform decisions, and long-term roadmap planning
• Influence a critical business function that directly drives company initiatives and outcomes
• Work on modern cloud data platforms, real-time architectures, governance programs, and AI-ready data ecosystems
• Serve as a trusted technical authority and mentor across engineering and architecture teams
• High-impact role with significant ownership, visibility, and strategic influence
• Competitive compensation package including bonus and comprehensive benefits

This is a rare opportunity for a senior data architecture leader who enjoys balancing strategy, business influence, platform vision, and technical depth while helping define the future of a large-scale modern data ecosystem.

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Credit Risk Analyst
West Midlands
£35,000 – £45,000

Looking for a role where you can use data to influence real commercial decisions and build a long-term career in credit risk? This is an excellent opportunity to join a high-performing analytics team within a well-established consumer business, where you’ll gain exposure to lending strategy, portfolio analysis, and risk decisioning while benefiting from strong mentorship and structured development.

The Company
This organisation is a leading consumer-facing business with a large and established customer base. They operate a significant lending portfolio and use data-driven decision making to optimise customer outcomes and business performance. Their Credit Risk team is highly regarded internally and is known for investing heavily in learning, development, and career progression. As the team continues to grow, they are looking for an analyst who is keen to develop their expertise and take on increasing responsibility.

The Role
As a Credit Risk Analyst, you will support the delivery of insight-led risk strategies across customer portfolios.
Key responsibilities include:

• Producing regular reporting and ad hoc analysis across new and existing customers
• Identifying trends, opportunities, and risks within customer and portfolio performance
• Delivering deep-dive analysis and translating findings into clear recommendations
• Supporting senior analysts with strategy development and performance monitoring
• Building dashboards, reports, and presentations for key stakeholders
• Using data to drive business decisions and influence change
• Developing expertise across credit risk, lending performance, and customer behaviour

Your Skills & Experience

• Strong commercial experience in analytics and insight generation
• Ability to turn analysis into actionable recommendations and business outcomes
• Experience identifying trends and influencing decision making through data
• Strong SQL skills are essential
• Experience within financial services is highly desirable, although candidates from other analytical environments such as telecoms, energy, or consumer sectors will also be considered
• Degree educated
• Strong communication and stakeholder engagement skills

What They Offer

• Salary between £35,000 and £45,000
• Hybrid working with one day per week in the office
• Strong learning and development opportunities
• Clear progression pathway into senior analytics and credit strategy roles
• Exposure to a broad range of projects and business stakeholders
• Collaborative team environment with hands-on support from experienced leaders

How to Apply
If you’re an analytically minded professional looking to develop your career in Credit Risk Analytics, apply now to learn more about this opportunity.

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Lead Insights Business Partner – Consumer Insight

Watford (3 days per week) | Up to £85,000 + Bonus + Benefits

This is a rare opportunity to lead the evolution of a high-profile insight function within a major consumer-focused organisation. Combining strategic leadership, customer insight, marketing effectiveness and team development, you’ll play a key role in shaping how insight influences business decisions at the highest level.

The Company

They are a well-established consumer business currently investing heavily in data, analytics, customer understanding and digital transformation. Insight is becoming an increasingly strategic capability, with strong backing from senior leadership to modernise ways of working and increase commercial impact. This role sits at the centre of that journey, offering exceptional visibility and influence across the organisation.

The Role

You will:

• Act as the senior insight partner to marketing, brand and commercial leadership teams
• Lead insight strategy across customer, brand, communications and retail functions
• Manage and develop a team of insight professionals, supporting capability growth and performance
• Drive the transformation of the insight function, improving methodologies, tools and ways of working
• Develop frameworks to measure brand performance, campaign effectiveness and customer outcomes
• Translate complex customer, market and performance data into clear business recommendations
• Partner with analytics teams to maximise the value of customer and marketing data
• Manage external research and insight agencies, ensuring the right approach for business needs
• Influence senior stakeholders and support strategic decision-making across the organisation

Your Skills & Experience

• Strong commercial experience in Consumer Insight, Customer Insight or Market Research leadership roles
• Proven ability to influence senior stakeholders and executive audiences
• Experience leading, coaching and developing high-performing teams
• Deep understanding of consumer behaviour, customer insight and marketing effectiveness
• Strong commercial acumen and strategic thinking capability
• Experience delivering change and transforming insight functions or operating models
• Excellent communication and stakeholder management skills

Desirable Experience

• Experience within large consumer-facing organisations
• Knowledge of brand tracking, campaign effectiveness and customer measurement frameworks
• Exposure to attribution, econometrics and customer analytics
• Experience working across retail, digital or multi-channel environments
• Agency management experience within a complex stakeholder environment

What They Offer

• Salary up to £85,000
• Annual bonus and comprehensive benefits package
• Hybrid working with 3 days per week in Watford
• High-profile leadership position with significant organisational visibility
• Opportunity to shape the future of an evolving insight function
• Direct exposure to senior leadership and strategic business decisions
• Strong career progression and long-term development opportunities

How to Apply

If you’re an experienced insight leader looking to drive transformation, influence strategy and build a market-leading insight capability, apply today for a confidential discussion.

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Principal Insight & Analytics Analyst

Watford (3 days per week) | Up to £95,000 + Benefits

This is a high-impact leadership opportunity for an experienced analytics professional looking to shape strategy, influence senior stakeholders, and drive the direction of an advanced analytics function. You’ll combine hands-on technical expertise with leadership responsibilities, helping organisations make better decisions through data, insight, and analytical innovation.

The Company

They are a data-driven organisation undergoing significant digital and analytical transformation. Analytics sits at the heart of key business decisions, with strong investment in data platforms, advanced analytics, and business intelligence capabilities. The environment is highly collaborative, offering significant visibility across senior leadership teams and the opportunity to influence strategic priorities through data-led thinking.

The Role

You will:

• Lead the design, development and delivery of advanced analytics products and insight frameworks
• Partner with senior stakeholders to translate business challenges into analytical solutions
• Shape analytics roadmaps and prioritise initiatives based on commercial impact
• Deliver hands-on advanced analytics using SQL, Python or R, Power BI and statistical modelling techniques
• Drive best practice across analytics, experimentation, forecasting, segmentation and measurement
• Collaborate with data engineering and technology teams to improve data infrastructure and analytical capabilities
• Own the lifecycle of key analytics products from discovery through to implementation and adoption
• Coach, mentor and develop analysts across the wider function
• Establish technical standards, governance and quality assurance processes
• Present complex analytical findings and recommendations to senior leadership audiences

Your Skills & Experience

• Strong commercial experience in advanced analytics, insight or data science environments
• Expert-level SQL skills and advanced capability in Python or R
• Experience building and scaling analytical products, dashboards, measurement frameworks or insight solutions
• Strong understanding of data modelling, analytical engineering, ETL processes and data quality principles
• Experience applying forecasting, experimentation, segmentation, statistical modelling or machine learning techniques
• Proven ability to influence senior stakeholders and translate complex findings into business action
• Strong leadership, mentoring and people development experience
• Experience operating within cross-functional or agile delivery environments

What They Offer

• Salary up to £95,000
• Competitive bonus and comprehensive benefits package
• Hybrid working with 3 days per week in Watford
• Private healthcare and enhanced pension contributions
• Significant exposure to executive stakeholders and strategic business initiatives
• Opportunity to shape the direction of a growing analytics function
• Clear progression opportunities within a highly data-driven organisation

How to Apply

If you’re looking for a senior analytics leadership role where you can drive strategy, develop analytical capability and deliver measurable business impact, please apply for a confidential discussion.

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Senior Analyst, Performance Marketing

Watford (3 days per week) | Up to £65,000 + Benefits

This is an opportunity to join a highly data-driven organisation where marketing analytics plays a critical role in shaping investment decisions and commercial performance. You’ll work closely with marketing, CRM and data teams to influence how paid media spend is measured, optimised and reported across the business.

The Company

They are a well-established consumer-focused organisation investing heavily in data, analytics and digital transformation. Analytics is embedded within key business functions, providing a strong platform for data professionals to drive meaningful commercial outcomes. The business offers a collaborative environment where insights directly influence strategic decision-making and future investment priorities.

The Role

You will:

• Develop analytical solutions to measure and optimise paid media performance
• Deliver deep-dive analysis across channels, campaigns, audiences and customer behaviour
• Build and maintain reusable datasets, dashboards and automated reporting products
• Use SQL, Python or R, and Power BI to create scalable analytical solutions
• Partner with marketing, CRM, data engineering and agency stakeholders to improve measurement frameworks
• Support ROI, ROAS, attribution and marketing effectiveness analysis
• Contribute to Marketing Mix Modelling initiatives through data preparation, validation and insight generation
• Translate complex analytical findings into clear recommendations for business stakeholders
• Drive improvements in tracking, data quality and campaign measurement processes

Your Skills & Experience

• Strong commercial experience in performance marketing analytics or marketing analytics
• Advanced SQL skills and experience using Python or R for analysis and automation
• Experience building dashboards, measurement frameworks or analytical products
• Strong understanding of ROI, ROAS, attribution, customer value and marketing performance metrics
• Experience working with paid media, CRM and customer datasets
• Strong stakeholder management and communication skills
• Understanding of Marketing Mix Modelling and experimentation methodologies is advantageous
• Experience working within agile environments and collaborating with cross-functional teams

What They Offer

• Salary up to £65,000
• Competitive bonus and benefits package
• Hybrid working with 3 days per week in Watford
• Private healthcare and enhanced pension contributions
• Strong opportunities for career progression within a growing analytics function
• Exposure to large-scale marketing, customer and digital transformation projects
• Collaborative and supportive working environment with access to senior stakeholders

How to Apply

If you’re looking to combine advanced analytics with commercial impact, apply today for a confidential discussion about this Senior Analyst, Performance Marketing opportunity.

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Senior Digital Analyst
Watford (3 days per week) | Up to £65,000

If you’re passionate about turning digital data into commercial insight, this is an opportunity to join a growing organisation where analytics plays a central role in shaping customer experience and digital performance. You’ll work with senior stakeholders across digital, product and marketing teams to drive data-led decision making and optimisation initiatives.
The Company
They are a well-established consumer-focused organisation investing heavily in digital transformation and customer experience. Data and analytics are at the heart of their strategy, with a strong focus on improving digital journeys and delivering measurable business impact. The business offers a collaborative environment where analysts are encouraged to challenge thinking, influence strategy and drive change through insight.
The Role
You will:

• Deliver analysis and insights to optimise digital customer journeys and improve performance
• Build and enhance dashboards, reporting solutions and self-service analytics tools
• Translate complex data into clear recommendations for business stakeholders
• Identify trends, opportunities and areas for optimisation across digital products
• Work closely with product, marketing and development teams to improve data capture and reporting
• Support experimentation, customer journey analysis and conversion rate optimisation initiatives
• Mentor junior analysts and promote analytics best practice across the business

Your Skills & Experience

• Strong commercial experience delivering digital analytics and insight
• Advanced SQL skills with experience working with large and complex datasets
• Experience building dashboards and automated reporting solutions
• Strong understanding of digital analytics, customer journeys and online performance metrics
• Ability to communicate insights effectively to both technical and non-technical stakeholders
• Experience with tools such as Google Analytics, Piano Analytics, Quantum Metric or similar platforms
• Exposure to Python or R would be beneficial

What They Offer

• Salary up to £65,000
• Hybrid working with 3 days per week in Watford
• Strong opportunities for career development and progression
• Exposure to high-profile digital transformation projects
• Collaborative and supportive analytics function

How to Apply
To find out more about this Senior Digital Analyst opportunity, please submit your CV for a confidential discussion.

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Director, Senior Information Architect

$215,000-$265,0000

5 days/week onsite

Overview

A growing investment-oriented organisation is seeking a senior individual contributor to help shape and scale its enterprise data ecosystem. This role will provide architectural leadership across data management, engineering, governance, analytics, and AI initiatives.
The successful candidate will define enterprise data standards, establish scalable architecture patterns, and ensure data platforms support future business growth while maintaining strong governance, security, and compliance practices. This is a highly collaborative role that requires the ability to bridge business strategy and technical execution while influencing senior stakeholders.
This is not primarily a hands-on development position, but candidates should possess sufficient technical depth to evaluate architecture decisions, review data engineering approaches, assess code and pipeline quality, and establish best practices across the organisation.

Key Responsibilities

• Define and evolve the enterprise data architecture strategy.
• Design scalable approaches for data ingestion, integration, storage, and consumption.
• Establish enterprise standards for data modelling, architecture governance, and platform design.
• Lead architecture decisions related to modern cloud-based data platforms and lakehouse environments.
• Develop governance frameworks covering data quality, metadata management, privacy, security, and regulatory compliance.
• Design and scale metadata, cataloguing, and business data definition frameworks.
• Create architectural standards for data pipelines, orchestration, and operational processes.
• Partner with engineering, governance, and analytics teams to align platform capabilities with business priorities.
• Support the implementation of AI, machine learning, and advanced analytics capabilities on top of enterprise data assets.
• Guide large-scale data platform modernisation and migration initiatives.
• Translate business requirements into pragmatic technical architecture solutions.
• Serve as a senior technical advisor to stakeholders across the organisation.

Required Qualifications

• Significant experience in enterprise data architecture and modern data platform design.
• Strong expertise with Databricks or comparable cloud-native data platforms.
• Deep understanding of dimensional modelling, including star schema design and Kimball methodologies.
• Extensive experience with enterprise data governance frameworks and operating models.
• Strong knowledge of data security, privacy, access controls, and regulatory considerations.
• Experience designing scalable data management and analytics ecosystems.
• Ability to develop architecture standards and best-practice frameworks.
• Strong understanding of end-to-end data lifecycle management.
• Demonstrated ability to influence senior stakeholders and operate independently.
• Capable of partnering effectively with data engineers, architects, and business leaders.
• Strong communication skills with the ability to translate complex technical concepts into business-focused recommendations.

Preferred Qualifications

• Experience with Hadoop and broader Apache ecosystem technologies.
• Background supporting large-scale enterprise data environments.
• Experience implementing and governing Unity Catalog or similar enterprise metadata/catalog solutions.
• Experience with medallion architecture patterns.
• Exposure to AI/ML platform architecture, MLOps, and production analytics environments.
• Experience leading enterprise data platform migrations or transformation programmes.
• Consulting or advisory experience supporting long-term enterprise transformation initiatives.
• Experience within highly regulated industries such as financial services, banking, insurance, asset management, or similar environments.

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Data Coach

London (1 day per week onsite) | £60,000 – £75,000 + Benefits

This is an excellent opportunity for a Data Coach to combine technical expertise with coaching, training, and client engagement. Working across Data, Analytics, BI and AI, you’ll play a key role in developing future data professionals while also delivering impactful training programmes to a range of external clients.

The Company
They are a specialist data and analytics consultancy with a strong focus on developing technical talent and delivering high-quality training solutions. Operating across a variety of sectors, they help organisations build data capability through tailored learning programmes and practical, business-focused training. Their collaborative culture offers the chance to work closely with both learners and client stakeholders while influencing training strategy and content development.

The Role
You will:

• Design and deliver technical training across Excel, SQL, Python, Power BI, Tableau, Data Modelling, Cloud Technologies and AI
• Deliver structured learning programmes for early-career data professionals
• Create bespoke training solutions for external client organisations
• Develop and update training materials, assessments and practical exercises
• Adapt content and facilitation techniques to suit different technical audiences
• Provide coaching, mentoring and feedback to support learner development
• Partner with clients to identify training needs and shape learning programmes
• Support continuous improvement of the wider technical curriculum
• Manage training projects from planning through to delivery

Your Skills & Experience

• Strong hands-on experience with several core data tools including SQL, Python, Power BI, Tableau and Excel
• Experience delivering technical training, teaching, coaching or mentoring
• Ability to simplify complex technical concepts for varied audiences
• Experience designing learning content, workshops or structured training programmes
• Excellent communication, presentation and stakeholder management skills
• Commercial experience within Data Analytics, BI, Data Science, Data Engineering or a related field
• Experience working with clients or within a consulting environment is advantageous
• Exposure to AI or Generative AI tools would be beneficial

What They Offer

• Salary of £60,000 – £75,000 depending on experience
• Primarily remote working with one day per week in London
• Opportunity to shape training programmes and technical curriculum
• Exposure to a broad range of data, analytics and AI technologies
• Strong career progression within a growing and highly respected data consultancy
• Collaborative and supportive environment with significant autonomy

How to Apply
If you’re passionate about developing data talent and delivering engaging technical training, apply today to discuss this Data Coach opportunity in more detail.

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ANALYTICS ENGINEER
LONDON/HYBRID
UP TO £80,000

This is an exciting opportunity for an Analytics Engineer to take ownership of the full data lifecycle within a growing, data-driven business. You’ll work across analytics engineering, data engineering, and business intelligence, helping shape how data powers decision-making, product development, and commercial growth.

ROLES AND RESPONSIBILITIES:
The Analytics Engineer will:

• Design, build, and maintain end-to-end data pipelines from source systems through to analytics-ready datasets
• Develop scalable and well-documented transformation pipelines using dbt and BigQuery
• Write and maintaining Python-based data ingestion and automation processes
• Create dashboards, reports, and KPI frameworks to support commercial, marketing, and product teams
• Collaborate with technical and non-technical stakeholders to translate business requirements into data solutions
• Monitor data quality and identifying opportunities to improve platform performance and scalability
• Support the adoption of self-service analytics across the organisation

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

• Strong commercial experience with Google Cloud Platform, particularly BigQuery and related cloud services
• Hands-on expertise with dbt, including testing, documentation, and data modelling
• Advanced SQL skills with experience optimising queries and building analytical datasets
• Strong Python skills for data extraction, automation, and orchestration
• Experience building dashboards and reporting solutions using BI tools such as Looker Studio, Metabase, or similar
• Familiarity with Git, version control, and modern engineering practices
• Ability to communicate effectively with both technical teams and business stakeholders
• Comfortable working in a fast-paced environment and taking ownership of projects from inception to delivery

APPLY BELOW

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BI Developer
London/Hybrid
Up To £60,000

This is an excellent opportunity for a BI Developer to join a specialist data consultancy delivering high-impact projects for clients across the private capital and investment sector. You’ll work on complex data integration challenges, gain exposure to a variety of client environments, and play a key role in building scalable data solutions that drive business decision-making.

The Company
They are a growing data and technology consultancy that helps investment-focused organisations unlock greater value from their data. Combining advisory expertise with a proprietary data platform, they deliver solutions across reporting, analytics, system integration, and operational efficiency. With an established client base and a strong reputation in their market, they offer a collaborative environment where individuals are encouraged to take ownership and develop their technical expertise.

The Role
As a BI Developer, you will work closely with analysts, developers, and client stakeholders to design and deliver robust data solutions.
Key responsibilities include:

• Building and maintaining ETL pipelines across a range of client environments
• Developing, optimising, and supporting complex T-SQL solutions
• Designing and enhancing semantic, tabular, and dimensional data models
• Supporting data warehousing initiatives and reporting capabilities
• Developing and maintaining DAX calculations and analytical models
• Troubleshooting data issues and resolving technical challenges
• Collaborating with analysts to translate business requirements into technical solutions
• Working directly with client data environments and contributing to solution design
• Supporting the delivery of data integration projects across varying architectures and technology stacks
• Managing changing priorities while maintaining high-quality delivery

Your Skills & Experience
You will ideally have:

• Strong commercial experience with SQL, preferably T-SQL
• Experience designing and building ETL pipelines
• SQL Server development experience
• Strong understanding of data warehousing principles
• Experience with dimensional modelling, including concepts such as star schema, semantic models, tabular models, and Kimball methodologies
• Exposure to DAX and analytical modelling
• Experience working across complex data environments
• Strong stakeholder communication skills and the ability to work with evolving requirements
• Experience within a consultancy or project-based environment, or evidence of delivering multiple concurrent initiatives in a fast-paced setting
• Python experience would be advantageous but is not essential

What They Offer

• £50,000 – £60,000 base salary
• Hybrid working model with three days per week in the London office
• Fixed-term contract with strong potential for longer-term opportunities
• Exposure to leading organisations within the private capital and investment space
• Opportunity to work with modern data technologies and proprietary platforms
• Varied, project-driven work across different client environments
• Investment in professional development, training, and certifications
• A collaborative culture that values autonomy, ownership, and continuous learning

How to Apply
If you’re a BI Developer with strong SQL, ETL, and data modelling expertise looking to broaden your experience within a specialist consultancy environment, please apply with your CV to be considered.

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Lead Analytics Consultant
London / 1 day per month in the office
Up to £90,000 + Bonus

This is an opportunity to join a growing analytics function focused on building high-impact, production-ready analytical products. Rather than delivering one-off reporting, you’ll create scalable tools and applications that are used by both internal stakeholders and external clients, directly influencing business decisions and user experiences.

The Company
They are a well-established organisation with a growing focus on data and analytics innovation. Their analytics team operates as a business-facing function, partnering closely with consultants, commercial stakeholders and project teams to solve complex challenges. The team is investing in reusable products, frameworks and analytical applications designed to deliver long-term value. With continued growth plans, this is an excellent opportunity to play a key role in shaping the future of analytics delivery.

The Role
You will work across the full product lifecycle, from initial concept and requirements gathering through to deployment and user adoption.
Responsibilities include:

• Building production-ready analytical products and applications for business users
• Developing interactive dashboards, tools and data-driven applications
• Partnering directly with stakeholders to understand requirements and shape solutions
• Delivering analytical products that create measurable business impact
• Creating reusable frameworks, templates and components to improve team efficiency
• Translating complex business problems into practical analytical solutions
• Driving adoption and ongoing enhancement of analytical products
• Working in a highly collaborative, geographically distributed team environment

Your Skills & Experience

• Strong commercial experience developing analytical products and user-facing applications
• Advanced Python development skills
• Experience with technologies such as Shiny for Python, R Shiny, Streamlit, Dash or similar application frameworks
• Ability to take products from idea through to production deployment
• Strong stakeholder engagement and consulting capabilities
• Experience solving ambiguous business problems through data and analytics
• Comfortable working in a hands-on environment with a focus on building and delivering solutions independently
• Experience creating scalable and reusable analytical assets
• Backgrounds focused primarily on backend data engineering or data pipeline development are unlikely to align with the requirements of this role

What They Offer

• Lead salary of £90,000
• 25% bonus opportunity
• 10% pension contribution
• Comprehensive benefits package
• Flexible working with only one day per month required in London
• Opportunity to build impactful analytics products used across a growing business
• Clear scope to influence product strategy, delivery approaches and best practices
• Lead level role offers significant autonomy while remaining fully hands-on

How to Apply
If you have strong experience building analytical products with Python and enjoy working closely with stakeholders to deliver scalable, user-focused solutions, apply today for a confidential discussion.

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Analytics Engineer

Salary: Up to £80,000

London /Hybrid

The Overview

Looking for a role where you can own the full data lifecycle and directly influence business growth? This is an opportunity to join a fast-scaling digital business at a pivotal stage of its expansion, working across analytics engineering, data engineering, BI, and commercial analytics in a highly autonomous environment.

The Company

This growing consumer-focused technology business operates a subscription-based digital platform and is expanding internationally following significant recent success. With a strong product roadmap and new offerings launching across multiple markets, data sits at the heart of strategic decision-making. They are investing heavily in their data capabilities and building a scalable, modern data platform to support future growth. You will work closely with senior leadership in a collaborative, fast-paced environment where your work will have visible impact.

The Role

As an Analytics Engineer, you will work closely with the Head of Data and take ownership of key areas of the data ecosystem.

Responsibilities include:

• Building and maintaining end-to-end data pipelines from multiple source systems.
• Developing scalable data models using SQL, dbt, and BigQuery.
• Creating and managing data ingestion workflows using Python and APIs.
• Designing dashboards, KPI reporting, and self-service analytics solutions in Looker, Data Studio, or similar BI tools.
• Collaborating with engineering, product, marketing, and commercial teams to deliver data-driven solutions.
• Improving data quality, governance, and platform scalability.
• Supporting business growth initiatives through analytics and insight generation.
• Contributing to the development of a modern cloud-based data platform.

Your Skills & Experience

• Strong commercial experience with SQL and data modelling.
• Hands-on experience with Google Cloud Platform, particularly BigQuery.
• Proven expertise using dbt to build and maintain analytics models.
• Python experience for data ingestion, automation, and pipeline development.
• Experience creating dashboards and reporting solutions using Looker, Data Studio, Metabase, or similar BI tools.
• Familiarity with Git version control and CI/CD principles.
• The ability to work independently and thrive in a scaling, fast-moving environment.
• Strong communication skills with both technical and non-technical stakeholders.

What They Offer

• Salary up to £80,000.
• Equity participation after qualifying period.
• Pension and healthcare-related benefits.
• Hybrid working model with three office days per week.
• Direct exposure to senior leadership and strategic decision-making.
• Significant ownership across data engineering, analytics engineering, BI, and business analytics.
• Opportunity to shape a growing data platform during a major period of international expansion.
• Excellent scope for long-term career development as the business scales

How to Apply

If you’re an Analytics Engineer who enjoys combining technical delivery with commercial impact and wants to help shape a growing data function, apply today to learn more about this opportunity.

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