To Apply for this Job Click Here

LEAD BI ANALYST

LONDON/HYBRID

UP TO £56,000

This is an opportunity to take ownership of a growing BI function within a highly respected, global organisation. You will play a pivotal role in shaping how data is structured, governed, and consumed, with the scope to influence long term strategy while delivering tangible improvements to reporting, scalability, and performance.

ROLES AND RESPONSIBILITIES:
The Lead BI Analyst will:

• Lead end to end Tableau development across dashboards, data sources, and data preparation
• Define and implement best practice for BI design, data modelling, and performance
• Own BI standards, governance frameworks, and data quality processes
• Support and enabling business users to build and scale their own reporting capabilities
• Write and optimise complex SQL across Oracle and cloud based environments
• Act as the escalation point for complex BI and data challenges
• Partner with data engineering teams on architecture and platform decisions
• Contribute to major transformation initiatives including a cloud migration programme and AI driven analytics proof of concepts

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

• Strong commercial experience with Tableau across the full development lifecycle
• Proven ability to build both dashboards and robust, scalable data sources
• Advanced SQL skills, including complex query development and data transformation
• Experience improving or maturing BI environments, including governance and performance optimisation
• Confidence explaining technical concepts clearly to non technical stakeholders
• Experience working with cloud platforms such as GCP or similar is beneficial
• Exposure to data migration or modernisation projects is advantageous

APPLY BELOW!

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA MODELLER
LONDON/HYBRID
UP TO £65,000

This is an opportunity to shape data modelling and architecture capability within a modern cloud data environment. The role offers strong visibility across multiple projects, with a clear pathway into data architecture and the chance to influence standards and best practice across the organisation.

ROLES AND RESPONSIBILITIES:
The Data Modeller will:

• Design and develop conceptual, logical and physical data models for enterprise data platforms
• Apply dimensional modelling approaches such as Kimball or Data Vault to support analytics use cases
• Collaborate with data engineers, analysts and governance teams to ensure consistent data standards
• Support multiple projects and ensuring modelling best practices are embedded across delivery
• Contribute to the evolution of data architecture and helping define long term strategy
• Work within a modern cloud environment using tools such as Microsoft Fabric and Databricks

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in data modelling across analytics or data platform environments
• Solid understanding of dimensional modelling techniques including Kimball or Data Vault
• Experience working in modern cloud data platforms, ideally within the Microsoft ecosystem or Azure
• Exposure to tools such as Sparx Enterprise Architect or similar modelling tools
• Familiarity with technologies such as DBT, PySpark or Python is beneficial
• Interest in progressing into a data architecture focused role
• Ability to engage with both technical and non technical stakeholders

APPLY BELOW!

To Apply for this Job Click Here

To Apply for this Job Click Here

Director of Engineering
Cambridge, MA (Hybrid) | $250,000 to $270,000 + 20% Bonus + Equity

Join a venture-backed technology company using AI, machine learning, and large-scale real-world data to build innovative products in a highly regulated industry. This is a hands-on leadership role where you’ll help scale a growing engineering function while remaining close to the technology.

The Company

They are an early-stage biotech business developing data-driven products that turn complex datasets into actionable insights. With strong funding and ambitious growth plans, they are investing in both their platform and engineering team as they scale.

The Role

• Lead, mentor, and grow a team of software engineers
• Own engineering delivery, processes, and technical standards
• Contribute directly to architecture and production code
• Build scalable applications and cloud-based systems
• Improve CI/CD, testing, observability, and platform reliability
• Partner with Product and leadership to drive execution
• Support hiring and future team growth

Your Skills & Experience

• Strong engineering leadership experience in startup or high-growth environments
• Hands-on expertise with Python, React, and AWS or GCP
• Experience building scalable backend systems and applications
• Strong knowledge of CI/CD and modern software delivery practices
• Exposure to AI, healthcare, data platforms, or regulated environments is beneficial

What They Offer

• $240,000 to $270,000 base salary
• 20% annual bonus
• Equity package
• Significant ownership and influence on engineering strategy
• Opportunity to help build and scale the organisation

How to Apply

If you’re a hands-on engineering leader who enjoys building teams, scaling technology, and driving delivery, we’d love to hear from you.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Business Intelligence Analyst (Tableau)

London

Up to £60,000

This is an opportunity to take ownership of a business-critical Tableau environment at a time of significant data transformation. You’ll play a leading role in shaping BI best practice, influencing data strategy, and helping modernise a growing analytics function as it transitions to a cloud-first architecture.

The Company

They are a well-established international organisation with a strong reputation within their sector and a growing commitment to data-driven decision making. Data sits at the heart of their strategy, supporting product development, commercial performance, and operational effectiveness. With a collaborative data team and investment in modern analytics platforms, they are building a scalable, governed, and future-focused data environment.

The Role

As a Lead Business Intelligence Analyst, you will act as the technical lead for Tableau across the organisation, driving standards, governance, and platform maturity.

Responsibilities include:

• Leading end-to-end Tableau development across Tableau Desktop, Tableau Prep, and Tableau Cloud
• Designing and maintaining scalable data sources, semantic layers, and reporting solutions
• Defining and embedding Tableau development best practices across the business
• Building high-quality dashboards that deliver actionable business insights
• Writing and optimising SQL across cloud and enterprise data environments
• Supporting and enabling business users with self-service analytics capabilities
• Owning BI governance, data quality frameworks, and reporting standards
• Acting as the escalation point for complex BI and reporting challenges
• Partnering with data engineering teams on architecture, modelling, and performance optimisation
• Contributing to a major cloud migration programme and helping modernise the wider analytics ecosystem

Your Skills & Experience

• Strong commercial experience with Tableau, including dashboard development, data source development, and Tableau Prep
• Experience delivering end-to-end BI solutions rather than focusing solely on front-end reporting
• Strong SQL skills, including complex querying, table creation, and performance optimisation
• Experience improving, scaling, or maturing a Tableau environment
• Understanding of data modelling, governance, and BI best practices
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Experience working with cloud data platforms, migrations, or analytics modernisation programmes is advantageous
• Exposure to Tableau administration, performance tuning, and self-service analytics initiatives would be beneficial

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Pricing Analyst – 12 Month FTC

London | Hybrid – 2 days per week in the office
£80,000 + benefits

A fast-growing, purpose-led e-commerce business is looking for a Senior Pricing Analyst to join its expanding Analytics team on a 12-month fixed-term contract.

The business is undergoing an exciting period of growth and investment, with data and analytics playing an increasingly important role in how they operate. This role will be central to shaping and improving their pricing strategy across the business.

The Role

This is a hands-on role focused initially on pricing analytics across buying and selling, with the opportunity to broaden into wider pricing and commercial analytics over time.

You’ll work closely with Commercial, Operations, Product and Technology teams to understand supply and demand, optimise pricing and identify opportunities to improve business performance.

You’ll be involved in:

• Analysing and optimising pricing based on supply and demand

• Looking at price elasticity, forecasting and predictive modelling

• Evaluating pricing strategies and identifying opportunities for improvement

• Supporting the transition from rules-based pricing towards more model-led and experimental approaches

• Creating reporting and visualisations from business data

• Providing clear, commercially relevant insight to senior stakeholders

• Presenting findings and recommendations, including to Board-level stakeholders

• Challenging existing analysis and approaches where appropriate

You won’t necessarily be expected to build complex models from scratch, but you’ll need strong statistical knowledge and the ability to understand, validate and challenge analytical approaches.

About You

We’re looking for a Senior Pricing Analyst who is:

• Strong technically, with experience in pricing analytics, forecasting, regression, predictive modelling or price elasticity

• Comfortable getting hands-on with data and analysis

• Commercially minded, with a strong understanding of how analytics can influence business decisions

• Confident communicating complex analysis to non-technical stakeholders

• Comfortable working with senior stakeholders and influencing decision-making

• Proactive and entrepreneurial, with a willingness to get stuck in

• Comfortable operating in a fast-paced and sometimes ambiguous environment

• Customer-focused and able to connect analysis back to commercial outcomes

• Naturally curious and willing to challenge existing ways of working

This is an excellent opportunity for a Senior Pricing Analyst to take genuine ownership of pricing strategy within a growing, data-driven business, working closely with senior stakeholders and having a direct impact on commercial decisions.

12-month FTC | London | Hybrid – 2 days per week | £80,000 + benefits

Find out more and apply via the link below!

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Business Intelligence Analyst (Tableau Technical Lead)

London Hybrid,

UP TO £56,600

Overview

This is a high-impact opportunity to take full ownership of an enterprise BI environment and shape how data is used across a global, insight-led organisation. You will play a central role in modernising analytics capabilities, improving governance, and driving the transition toward scalable, automated and AI-enabled BI.

The Company

They are a global organisation operating at the intersection of knowledge, analytics, and digital products, supporting professionals and organisations with trusted insight and decision-making tools. With an international footprint and a strong emphasis on data as a strategic asset, they are investing heavily in modernising their data platform. Their environment combines established data systems with forward-looking initiatives in cloud technology and AI-driven analytics.

The Role

You will act as the technical lead for Tableau and BI, owning architecture, governance, and service maturity.

• Lead end-to-end Tableau development across Desktop, Prep, and Cloud
• Define and enforce best practice across dashboard design, data modelling, and performance
• Own BI governance frameworks, including data quality, standards, and documentation
• Support and upskill business users in a growing self-service BI environment
• Write and optimise complex SQL across Oracle and GCP environments
• Act as the escalation point for complex BI and data challenges
• Collaborate closely with data engineering on architecture and platform decisions
• Play a key role in a major migration from on-premise systems to GCP
• Drive improvements in Tableau performance, scalability, and overall service maturity
• Contribute to future-focused initiatives including AI-led analytics and semantic layers

Your Skills and Experience

• Strong commercial experience with Tableau across both dashboard development and data source design
• Advanced SQL skills, including building and optimising complex queries and data structures
• Experience working with cloud or hybrid data environments such as GCP or Oracle
• Proven ability to improve, scale, or mature BI environments and frameworks
• Strong understanding of BI best practices, including performance optimisation and governance
• Ability to communicate complex technical concepts clearly to non-technical stakeholders
• Experience supporting or enabling self-service BI across a wider business

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Modeller

London/Hybrid

Up to £65,000

Overview

This is a strong opportunity for a Data Modeller or Analytics Engineer who wants to move into Data Architecture. You will join a team investing in modern data platforms and governance, with clear mentorship and a defined path into architecture. The role is designed for someone who enjoys modelling and wants to shape how data is structured and used across a complex organisation.

The Company

They are a large, purpose-driven organisation operating at national scale, with a strong focus on public impact and regulatory outcomes. The business is undergoing a significant digital and data transformation, investing in cloud platforms, governance and architectural best practices. Data is central to improving decision making and operational effectiveness. You will join a growing data and architecture function that partners closely with stakeholders across the organisation.

The Role

• Develop and maintain conceptual, logical and physical data models across multiple projects
• Support the development and enforcement of data architecture standards and best practices
• Collaborate with data engineers, analysts and governance teams to ensure consistent data design
• Translate business requirements into scalable and well-structured data models
• Contribute to the evolution of the organisation’s data architecture, with mentoring from senior architects
• Work across modern cloud-based data platforms to support transformation initiatives
• Engage with stakeholders to promote good data modelling practices and architectural thinking

Your Skills and Experience

• Strong commercial experience in data modelling within modern data environments
• Exposure to dimensional modelling approaches such as Kimball or Data Vault
• Experience working with cloud data platforms, ideally within the Microsoft ecosystem
• Familiarity with tools such as dbt, PySpark or Python is beneficial
• Understanding of data architecture principles and a clear interest in progressing into an architectural role
• Experience working in cross-functional teams with both technical and non-technical stakeholders
• Ability to translate complex requirements into structured and scalable data solutions

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analytics Engineer

Oxford/ Hybrid

Up to £65,000

Overview

This is an excellent opportunity for a Senior Analytics Engineer to join a growing, data-driven organisation at a key stage of its development. You’ll play a central role in modernising data platforms, improving data accessibility, and supporting international growth initiatives while working with a modern Microsoft technology stack.

The Company

They are a specialist information and data services organisation that helps businesses make informed decisions through high-quality data, analytics, and intelligence solutions. With a growing international presence and continued investment in technology, they are expanding their data capabilities to support new products, markets, and customer demands.

The business operates a cloud-first data environment and is committed to building scalable, reliable, and innovative data solutions. This role sits within a collaborative data function, working closely with engineering, analytics, and data acquisition teams.

The Role

As a Senior Analytics Engineer, you will take ownership of a key area of the data platform and play an important role in enhancing data quality, performance, and scalability.

Key responsibilities include:

• Designing, building, and optimising ELT pipelines across cloud-based data platforms.
• Developing and maintaining data solutions using Azure, Azure Data Factory, Microsoft Fabric, and SQL.
• Supporting data migration and platform modernisation initiatives.
• Improving data processing efficiency and reducing data latency across multiple regions.
• Working with both modern and legacy data models to deliver scalable solutions.
• Developing and maintaining Power BI reporting and analytics capabilities.
• Implementing best practices around data quality, documentation, governance, and maintainability.
• Collaborating with technical and non-technical stakeholders to translate business requirements into robust data solutions.
• Contributing to architectural decisions and continuous improvement across the data platform.

Your Skills & Experience

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

• Strong commercial expertise in SQL, which is a core requirement for the position.
• Experience working with Azure Data Factory (ADF), Microsoft Fabric, and Azure cloud technologies.
• Strong knowledge of ELT pipeline development, optimisation, and data integration.
• Experience supporting data migration projects and modernising existing data environments.
• Expertise in Power BI and data visualisation.
• Experience working with legacy data models while delivering improvements and modernisation.
• Knowledge of Agile or Scrum delivery environments.
• The ability to work independently, take ownership of projects, and communicate effectively with a range of stakeholders.

Desirable experience includes:

• Python for automation or data scraping.
• C# development experience.
• Azure DevOps, source control, and branching strategies.
• Data warehousing, datamarts, and reporting databases.
• Exposure to Data Science workflows and concepts.

What They Offer

• £65,000 base salary.
• Comprehensive benefits package.
• Hybrid working with 2 days per week in the Oxford office.
• Opportunity to own and shape a key area of the data platform.
• Exposure to large-scale international data initiatives.
• A collaborative environment with strong investment in data and technology.
• Clear opportunities to influence technical strategy and contribute to platform growth.

To Apply for this Job Click Here

To Apply for this Job Click Here

FP&A Business Partner

London/Hybrid

Salary: £70,000

Overview

This is an excellent opportunity for a commercially minded finance professional who enjoys working at the intersection of FP&A, business performance, and data analytics. You will play a highly visible role supporting investment decisions, improving reporting capabilities, and providing insights that influence senior leadership and board-level decision making.

The Company

This global professional services organisation operates across multiple international markets and advises businesses on complex strategic and commercial challenges. With a strong reputation for analytical excellence, they combine financial, operational, and strategic expertise to support sustainable growth and performance improvement.

As the business continues to invest in its reporting and analytics capabilities, they are looking to hire an FP&A Business Partner to help strengthen financial reporting, investment analysis, and business performance insights across the organisation.

The Role

You will join a collaborative finance function, partnering with senior stakeholders to deliver high-quality reporting and analysis while helping shape the future reporting landscape.

Responsibilities include:

• Produce monthly business performance and financial reporting across multiple business areas
• Collect, validate, cleanse, and consolidate operational and financial data from various sources
• Analyse profitability, utilisation, investment performance, and key commercial KPIs
• Develop and enhance Excel-based reporting packs and management information
• Create clear and impactful PowerPoint presentations for senior leadership and board audiences
• Support investment analysis across both internal growth initiatives and external investment activity
• Work with outputs from a developing data warehouse environment, ensuring data quality and consistency
• Partner with finance, operational, and data teams to improve reporting processes and governance
• Provide ad hoc analysis and insight to support strategic business decisions
• Help standardise performance reporting and strengthen reporting frameworks across the organisation

Your Skills & Experience

You may currently be working as an FP&A Analyst, Finance Business Partner, Commercial Finance Analyst, Management Accountant, or within a similar finance and analytics-focused position.

Key requirements include:

• Strong experience within FP&A, commercial finance, management accounting, or business partnering
• Advanced Excel skills including XLOOKUP, INDEX MATCH, SUMIFS, and multi-source data consolidation
• Experience working with financial reporting, business performance analysis, and KPI reporting
• Strong data manipulation, cleansing, and transformation skills
• Power BI experience, including Power Query and data modelling fundamentals
• Ability to work with incomplete or complex datasets and turn them into meaningful business insights
• Strong stakeholder management and communication skills
• Experience presenting analysis and recommendations to senior audiences
• Understanding of revenue, profitability, cash flow, and operational performance metrics
• Background within professional services, consulting, accountancy, or another KPI-driven environment would be advantageous

What They Offer

• £70,000 – £75,000 base salary with flexibility for exceptional candidates
• 5% profit share bonus
• Hybrid working with 3 days per week in the Victoria office
• Exposure to high-profile investment and strategic business initiatives
• Opportunity to influence reporting transformation and process improvement
• Significant senior stakeholder exposure, including board-level reporting
• A broad and commercially focused role combining finance, data, and business partnering
• Clear opportunities to develop expertise in analytics, reporting, and investment performance analysis

To Apply for this Job Click Here

To Apply for this Job Click Here

This is an excellent opportunity for a Senior Product Analyst to step into a highly influential role where analytics directly shapes product strategy. You’ll partner closely with Product and Growth teams to uncover opportunities, improve conversion, and drive measurable business outcomes through experimentation and behavioural analysis.

The Company
They are a fast-growing digital business with a strong product-led culture and a significant customer base across multiple markets. Analytics sits at the centre of decision-making, with analysts viewed as strategic partners rather than reporting resources. The business is investing heavily in growth, experimentation, and customer experience, creating an environment where data-driven recommendations have genuine impact.

The Role
As a Senior Product Analyst, you will own analytics across key growth and conversion initiatives, helping optimise the customer journey and influence product direction.
Key responsibilities include:

• Understanding how users move through the product and identifying opportunities for improvement
• Conducting conversion funnel analysis to improve acquisition, activation, and engagement
• Analysing product behaviour to uncover trends and customer insights
• Identifying friction points impacting growth and conversion
• Designing, running, and evaluating A/B tests and experimentation programmes
• Defining event tracking requirements and measurement frameworks for new features
• Using behavioural data to support product discovery and roadmap decisions
• Challenging assumptions and providing strategic insight to stakeholders
• Translating complex analysis into clear, actionable business recommendations
• Connecting user behaviour to commercial performance and revenue outcomes
• Building scalable reporting solutions that enable self-service analytics

Your Skills & Experience

• Advanced SQL skills
• Strong commercial experience in Product Analytics
• Experience analysing customer journeys, conversion funnels, and activation metrics
• Strong event tracking and instrumentation experience
• Hands-on experience with experimentation and A/B testing
• Experience using product analytics platforms such as Amplitude, Mixpanel, or similar
• Ability to independently scope, deliver, and communicate analytical projects
• Excellent stakeholder management and communication skills
• Proven ability to influence product decisions through data and insight
• Strong data storytelling skills with both technical and non-technical audiences
• Experience within a digital product, marketplace, subscription, SaaS, or platform environment is beneficial

What They Offer

• £65,000 – £70,000 base salary
• Bonus scheme
• Equity package
• Clear scope for progression and increased strategic ownership
• Opportunity to work on high-impact growth and conversion challenges within a data-driven organisation

How to Apply
If you’re a Senior Product Analyst with strong product analytics, experimentation, and conversion optimisation experience and you’re looking to influence product strategy through data, please apply with your CV for further information.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist – MMM

This is an exciting opportunity for a Junior Data Science Manager to work at the intersection of data science and marketing effectiveness. You will use advanced modelling techniques to influence real business decisions, while continuing to develop both your technical expertise and your ability to communicate complex insights clearly.

The Company
They are a global, data-led organisation operating at the forefront of marketing analytics and technology. Built on strong technical foundations, they combine proprietary tools, experimentation, and data science to help organisations understand what drives performance. Their teams work across a wide range of clients and industries, delivering measurable impact through rigorous analysis and innovation. They are committed to developing talent and fostering a collaborative, learning-focused environment.

The Role

• Support the delivery of marketing mix modelling projects, owning key components such as data preparation, model execution, and scenario analysis
• Apply statistical and analytical techniques to solve business problems across marketing and performance data
• Translate complex model outputs into clear, actionable insights that inform budget and channel decisions
• Collaborate with senior stakeholders and contribute to high-quality client deliverables
• Use AI tools to enhance productivity, accelerate development, and improve communication of outputs

Your Skills and Experience

• Strong commercial experience in data science or statistical modelling, ideally within marketing analytics
• Hands-on experience with marketing mix modelling or similar approaches, with exposure to tools such as Meridian, Robyn, or PyMC
• Proficiency in Python and experience working with cloud platforms such as GCP
• Understanding of Bayesian statistics and marketing attribution concepts
• Ability to communicate technical findings clearly to non-technical audiences
• Interest in applying AI tools to enhance data science workflows

What They Offer

• Opportunity to work on data-driven projects across a range of industries
• Ongoing professional development and clear progression within a growing data science function
• Access to cutting-edge tools like Google Meridian and AI-driven workflows

How to Apply
Apply now to learn more about this Junior Data Science Manager opportunity and take the next step in your data science career.

To Apply for this Job Click Here

To Apply for this Job Click Here

The Opportunity

A global subscription-led business is seeking a Senior Analyst to join its Analytics & Insights team.

This role focuses on understanding subscriber/customer behaviour and performance across multiple international markets. You’ll work with stakeholders across commercial, marketing and product teams to provide insights that support customer acquisition, retention and engagement strategies.

The successful candidate will be comfortable working with large datasets, designing analytical approaches to answer business questions, and presenting findings in a clear and actionable way.

Key Responsibilities

• Analyse subscriber growth, retention and engagement trends, providing recommendations to support business objectives.
• Translate complex data into clear insights for a range of stakeholders.
• Design and evaluate experiments using robust statistical methodologies.
• Develop and maintain dashboards, reports and visualisations to monitor performance.
• Support the adoption of self-service analytics and data-informed decision making.
• Identify opportunities to improve reporting processes and analytical workflows.
• Build strong relationships with stakeholders across different functions and markets.
• Manage and prioritise analytical requests, ensuring timely delivery of insights.

Skills & Experience

• Previous experience in an analytics, insights or business intelligence role.
• Strong stakeholder management and communication skills, with the ability to influence decision making through data.
• Advanced SQL skills and experience working with large, complex datasets.
• Experience using visualisation tools such as Tableau, Power BI or Looker.
• Strong understanding of statistical techniques, including hypothesis testing, regression analysis and experimentation.
• Experience using Python, R or another statistical programming language.
• Ability to work independently and manage multiple priorities.
• Experience using AI tools to improve analytical workflows would be beneficial.

Benefits

• 25 days annual leave
• Private medical insurance

Apply

If you’re looking for a role where you can use data to help shape commercial decisions and customer strategy within a large-scale subscription business, we’d be keen to hear from you.

To Apply for this Job Click Here