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Data Analyst

London/Hybrid

Up to £50,000

Overview

This is a client-facing Data Analyst role in a well-established analytics consultancy, offering broad project exposure and strong ownership across the full data lifecycle.

The Company

They are a leading data and analytics consultancy combining proprietary data with advanced analytics. They support organisations across sectors including utilities, telecoms, financial services, and retail. The environment is collaborative, delivery-focused, and built around solving real commercial problems.

The Role

• Gather client requirements and define business problems
• Analyse and integrate complex datasets using SQL and Python
• Deliver insights through dashboards and reports, primarily in Power BI
• Present findings to stakeholders and translate into commercial recommendations
• Work on varied projects including customer segmentation and revenue analysis

Your Skills & Experience

• Strong commercial experience in data analysis
• Advanced SQL and experience working with large datasets
• Python experience is highly desirable
• Experience with Power BI or similar BI tools
• Confident communication and stakeholder engagement skills

What They Offer

• Competitive salary with flexibility for strong candidates
• Hybrid working in London
• Exposure to diverse projects and industries
• Clear progression within a collaborative team

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DATA PLATFORM MANAGER

UP TO £90,000

LIVERPOOL STREET, LONDON

OVERVIEW

We are hiring a Data Product Manager to join a fast-growing, PE-backed telecommunications business undergoing a major data transformation.

This is a high-visibility role focused on shaping and delivering data products that support commercial growth, analytics enablement, real-time data, and AI use cases across multiple markets.

THE COMPANY

Our client is a rapidly scaling telecommunications business with significant investment in Digital, Data, and Analytics.

The data function is mature, highly regarded, and central to future growth. The business is investing in a modern data platform, including next-generation data lake capabilities, real-time analytics, AI-enabled use cases, and improved self-service reporting.

RESPONSIBILITIES

• Own the end-to-end lifecycle of data products, from discovery to delivery and iteration
• Define and manage the data product roadmap
• Act as the link between business stakeholders, data engineering, analytics, and technology teams
• Translate commercial and technical requirements into scalable data solutions
• Support delivery of modern data platform initiatives, including real-time data capabilities
• Enable analytics and market teams to self-serve data more effectively
• Support use cases across customer insight, churn, ARPU, profitability, and network optimisation
• Communicate product updates, priorities, and roadmap progress to stakeholders
• Support incident management and platform-related administration where required

SKILLS AND EXPERIENCE

• 3-5 years’ experience in data-focused roles
• Strong hands-on experience with Databricks
• Experience with modern data platforms such as Synapse, Snowflake, BigQuery, or Redshift is beneficial
• Background in data product, data engineering, business analysis, analytics, or platform delivery
• Strong understanding of how data platforms support business outcomes
• Excellent communication and stakeholder management skills
• Confident, commercially minded, and able to challenge where needed
• Consultancy or data transformation experience would be highly attractive

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DATA ANALYST

UP TO £55,000

LONDON/ HYBRID

OVERVIEW

This is a highly visible role sitting within the Group Finance team, where you’ll act as the Power BI SME across the function while working closely with senior leadership.

THE ROLE

You’ll be responsible for building and developing Power BI dashboards, improving reporting processes and helping drive the transition from manual reporting towards more automated, real-time insights.

Key responsibilities include:

• Developing dashboards using Power BI, DAX & Power Query
• Extracting and consolidating data from multiple sources
• Supporting monthly and ad hoc reporting cycles
• Partnering with senior finance stakeholders across the business
• Supporting major transformation projects including a new consolidation platform and central data lake

SKILLS AND EXPERIENCE:

The ideal candidate will have the following:

• Strong Power BI experience (essential)
• Advanced DAX & Power Query skills
• SQL knowledge
• Finance or accounting exposure highly desirable
• 3-5 years’ experience within data/reporting analytics

This is a really strong opportunity for someone looking to combine technical reporting expertise with finance transformation exposure, while helping shape the future reporting landscape of the business.

If you’d be interested in hearing more, feel free to drop me a message or email @

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Senior Data Analyst

London (Hybrid)
£55,000 + Bonus + Benefits

I’m currently partnering with a fast-growing technology business operating in the digital and media analytics space, and they’re looking to hire a Senior Data Analyst to join their expanding Business Intelligence team.

This is a great opportunity for someone who wants to step into a highly visible role, working with global brands while also mentoring junior analysts and influencing data strategy.

The Role

As a Senior Data Analyst, you’ll be responsible for delivering high-quality data analysis to support both client-facing work and internal decision-making.

You’ll work closely with senior leadership while also helping to guide and develop more junior members of the team. The role is hands-on, with a strong focus on advanced analytics, problem solving and improving processes.

Key Responsibilities

• Deliver advanced data analysis to support business and client decisions
• Support and mentor junior analysts within the team
• Contribute to high-quality, data-led client proposals
• Act as a key point of contact for complex analytical challenges
• Collaborate with stakeholders across the business to drive data usage
• Manage multiple projects and priorities effectively
• Support senior leadership with BI initiatives and reporting
• Identify opportunities to improve workflows through automation
• Promote best practice and data quality standards

Experience Required

• Strong experience with Python (or similar)
• Advanced Excel skills
• Experience in data modelling, cleansing and enrichment
• Understanding of data quality and validation
• Proven experience working on complex data or analytics projects
• Experience handling large datasets
• Strong organisational skills and attention to detail
• Ability to manage multiple workstreams in a fast-paced environment

Desirable

• Experience with geospatial data
• Background in media, marketing or agency environments

Benefits

• Competitive salary + bonus
• Hybrid working (London-based)
• Clear progression opportunities
• High-growth, collaborative environment
• Exposure to cutting-edge data technology
• Ongoing training and development
• Regular team socials and events

How to Apply

If this sounds of interest, please apply directly or reach out to me!

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Senior Machine Learning Engineer
Remote (US)
Base up to $250K

We’re hiring a Senior Machine Learning Engineer to help scale and optimize high-impact production ML systems that directly drive revenue.

This role sits within a high-performing Ad Tech Optimization team focused on improving core models across ranking, bidding, personalization, and large-scale prediction systems. The infrastructure is already built – mature data pipelines, feature stores, and ML platforms are in place – and now the focus is on pushing model performance to the next level.

You’ll own the model layer end-to-end: improving features, tuning architectures, running experiments, and translating large-scale behavioral data into measurable business impact.

Ideal background:
* Ad Tech optimization
* Recommendation systems
* Search & ranking
* Marketplace optimization
* Personalization / user value modeling
* Production ML at scale

This is a high-ownership, high-visibility role with direct influence on core business performance.

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Sr. Fullstack Engineer
Location: Boston, MA
Pay: $170k – $180k + Equity

Overview:
An early-stage, well-funded healthcare technology company is building a next-generation platform focused on improving long-term patient outcomes through intelligent care delivery. The organisation combines AI-driven insights, clinical data, and user-friendly applications to support patients post-treatment and enable more effective provider workflows. This is a high-impact opportunity to help shape a product at an early stage, working closely with product and clinical stakeholders in a fast-growing environment.

Responsibilities:

• Build and deliver fullstack features across web and mobile patient-facing applications
• Develop backend services supporting care workflows, integrations, and data pipelines
• Create intuitive frontend experiences for patient engagement and interaction
• Integrate structured and unstructured clinical/medical data into product workflows
• Work with APIs, including AI/LLM integrations, to enable intelligent features
• Own end-to-end feature delivery from design through deployment
• Collaborate cross-functionally with product, engineering, and clinical teams
• Contribute to architectural decisions across frontend and backend systems

Must Have Qualifications:

• 5-8+ years of fullstack engineering experience
• Strong backend development with Python (Django preferred)
• Frontend experience with React
• Proven experience building and shipping production-grade features end-to-end
• Strong understanding of APIs, integrations, and data-driven systems
• Experience working in regulated or complex environments (e.g., healthcare, fintech, enterprise SaaS)

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STRATEGY MANAGER

UP TO £75,000-£90,000 PLUS BONUS

LONDON

HYBRID WORKING (3 DAYS PER WEEK IN-OFFICE)

Be part of a mission-driven business redefining how people access technology, using data and strategy to unlock smarter, more sustainable growth. You’ll play a key role in improving strategy while protecting the long-term health of the business.

THE COMPANY

A fast-growing, data-led scale-up operating within a highly competitive, consumer-focused digital marketplace. The business combines advanced analytics with a strong commercial focus to drive growth and decision-making, and is entering an exciting phase of expansion following recent investment. It offers a dynamic environment for individuals looking to make a measurable impact in a scaling organisation.

THE ROLE

This role sits within a high-performing strategy and analytics function, focused on improving approval rates while balancing risk and growth. You will lead data-driven initiatives that directly impact commercial performance across both consumer and business products.

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

• Leading strategic projects to optimise approval rates using advanced decisioning systems
• Using SQL and analytics to investigate performance drivers and identify opportunities for growth
• Designing scalable data frameworks and tracking systems to support decision-making
• Collaborating cross-functionally with product, engineering, marketing, and risk teams
• Enhancing decisioning logic and integrating new data sources to improve outcomes

SKILLS AND EXPERIENCE

The successful Strategy Manager will have the following skills and experience:

• Strong experience in analytics, strategy, or data-focused roles within a data-rich environment
• Advanced SQL skills with the ability to interrogate and manipulate complex data sets
• Proven ability to use data insights to solve business problems and support decision-making
• Experience working with multiple data sources and building scalable analytical solutions
• Strong communication skills, with the ability to explain technical insights to non-technical stakeholders

BENEFITS

The successful Strategy Manager will receive a salary up to £75,000-£90,000 as well as a comprehensive benefits package.

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Senior Data Analyst
London, Hybrid
Salary up to £55,000

This is an opportunity to step into a Lead Data Analyst role where you will shape how data drives commercial decision-making in a fast-growing, technology-led environment. You will combine hands-on analytics with team leadership, influencing strategy while developing a small but high-impact analytics function.

The Company
They are a rapidly scaling, data-driven organisation operating within the digital and media landscape. The business partners with a wide range of clients across multiple sectors, delivering insight-led solutions that improve performance and decision-making. With a strong focus on innovation, they are investing heavily in their data and analytics capabilities to support continued growth. The team is collaborative, technically strong, and focused on building scalable data products and solutions.

The Role
You will lead a team of analysts while remaining hands-on with advanced analytics and project delivery. This role sits close to senior leadership and plays a key part in driving the use of data across the organisation.

• Lead the design and delivery of advanced data analysis to support business decisions
• Manage, mentor and develop a team of data analysts, fostering growth and technical capability
• Act as a senior point of contact for complex analytical and technical challenges
• Collaborate with senior stakeholders to translate business needs into data-driven solutions
• Oversee the delivery of high-quality outputs across multiple projects and priorities
• Support the development of data products, tools, and automated processes
• Champion best practices in data quality, modelling, and governance
• Contribute to the wider data strategy and help scale analytics capabilities across the business

Your Skills & Experience

• Strong commercial experience in data analysis using Python or a similar programming language
• Advanced Excel skills
• Solid understanding of data modelling, data cleansing, and data enrichment techniques
• Experience working with large and complex datasets
• Proven ability to lead or own analytics projects and deliver measurable impact
• Strong stakeholder management and communication skills
• Ability to manage multiple projects and priorities effectively
• Attention to detail and a structured approach to problem solving

How to Apply
If you are a Lead Data Analyst looking to combine technical expertise with leadership in a high-growth environment, apply now to learn more.

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Lead Data Analyst
London, Hybrid 2 to 3 days per week in office
£55,000 plus benefits
No sponsorship offered

This is an excellent opportunity for a Lead Data Analyst to join a fast growing data and technology business working at the intersection of media, marketing, and analytics. You will play a key role in shaping how advanced analytics is delivered, with clear progression into team leadership and broader strategic influence.

The Company

They are a London based technology and media organisation that partners with brands and agencies to improve marketing effectiveness and campaign performance. Founded within the last decade, they have quickly scaled to a team of around 100 specialists across analytics, engineering, and data science. Their work spans the full campaign lifecycle, from pre campaign strategy through to performance evaluation, leveraging proprietary technology and data driven insights to support client success.

The Role

You will join the Business Intelligence function, working closely with senior leadership to drive best practice in analytics delivery. This role blends hands on analysis with team leadership and stakeholder collaboration.

Key responsibilities include:

• Lead the design and delivery of advanced analytics across marketing, customer, and commercial data
• Act as a subject matter expert, ensuring analytical quality and best practice across projects
• Manage and mentor junior analysts, with scope to grow a team over time
• Support pre campaign strategy, campaign execution insights, and post campaign performance analysis
• Translate complex data into clear, actionable recommendations for clients and stakeholders
• Manage multiple projects, balancing priorities in a fast paced, client focused environment
• Contribute to improving processes, automation, and overall data capabilities within the team
• Collaborate with cross functional teams including data science and engineering to deliver impactful solutions

Your Skills and Experience

• Strong commercial experience using Python for data analysis
• Experience working with large, complex datasets and delivering insights
• Ability to manage multiple priorities and work effectively under time pressure
• Experience leading projects or mentoring analysts
• Strong stakeholder management and communication skills
• Understanding of data quality, validation, and best practice analytics workflows
• Exposure to dashboarding tools or additional programming languages is beneficial
• Background in media, marketing, or client focused environments is helpful but not essential

What They Offer

• Salary of £55,000 plus benefits
• Hybrid working with 2 to 3 days per week in a central London office
• Clear progression into team leadership, with scope to manage a growing team
• Opportunity to expand into more advanced analytics and statistical work over time
• Exposure to a wide range of data across marketing, commercial, and customer domains
• A collaborative environment with strong technical and analytical expertise

How to Apply

If you are a Lead Data Analyst looking to take the next step in your career within a high growth data driven environment, apply now to learn more.

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Senior Data Analyst
London (Old Street)
£55,000 + Benefits
2 to 3 days per week in office
This is an exciting opportunity for a Lead Data Analyst to step into a high impact role within a growing data-driven business. You will combine hands-on advanced analytics with leadership responsibility, influencing how data is used to drive commercial decisions and campaign performance. With clear progression into team leadership and advanced analytics, this role offers both immediate ownership and long-term career growth.
The Company
They are a fast-growing technology business operating within the advertising and media space, helping clients better understand and improve campaign performance. Since launching in recent years, they have scaled to a team of around 100 people and continue to expand their data capabilities.
Their work spans the full campaign lifecycle, from pre-campaign analysis and planning through to execution and performance evaluation. The business brings together data scientists, analysts, and engineers to deliver insights that support both brands and agencies in achieving stronger outcomes.
The Role
You will work closely with senior leadership in Business Intelligence to deliver high quality analytics and shape best practices across the team. The role combines technical problem solving, stakeholder engagement, and mentoring responsibilities.

• Lead the delivery of advanced data analysis across client and commercial projects
• Work with a wide range of datasets including campaign, financial, customer, and sales data
• Translate complex analysis into clear, actionable recommendations for stakeholders
• Support and mentor junior analysts, with the opportunity to build a team over time
• Own project delivery, managing multiple priorities in a fast-paced environment
• Contribute to improving analytical standards and ways of working across the team
• Partner with cross-functional teams to embed data-driven decision making

Your Skills and Experience

• Strong commercial experience in data analytics using Python
• Experience working with large and complex datasets
• Ability to manage multiple projects and deliver under time pressure
• Experience communicating insights to both technical and non-technical audiences
• Knowledge of data modelling, data quality, and validation approaches
• Confidence mentoring or supporting junior team members
• Exposure to dashboarding tools or other programming languages is beneficial

What They Offer

• Salary of £55,000 plus benefits
• Hybrid working with 2 to 3 days in the London office
• Clear progression into team leadership with line management responsibilities
• Opportunity to expand into more advanced analytics and statistical work
• A collaborative, growing data team with strong technical expertise

How to Apply
If you are interested in this Senior Data Analyst role, please apply with your CV to be considered.

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DATA PRODUCT MANAGER

LONDON/HYBRID

UP TO £80,000

This is a high visibility data product role within a fast scaling, PE backed organisation where data and analytics sit at the heart of commercial decision making. You will take ownership of a modern data platform at a pivotal point in its evolution, influencing how data products are built, scaled, and used across the business.

ROLES AND RESPONSIBILITIES:
The Data Product Manager will:

• Own the end to end lifecycle of data products, from discovery and definition through delivery and continuous improvement.
• Define and drive the data product vision, strategy, and roadmap in line with business priorities.
• Act as the key link between business stakeholders, data engineering, and analytics teams across markets.
• Translate complex commercial and operational requirements into scalable, high quality data solutions.
• Oversee delivery across a modern data platform, challenging technical approaches and best practice where needed.
• Support platform ownership activities, including incident management and operational governance.
• Communicate progress, risks, and roadmap updates clearly to senior stakeholders.

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

• Strong commercial experience working in data focused roles across product, platform, or analytics environments.
• Hands on experience with Databricks within a production data platform is essential.
• Broader exposure to modern cloud data technologies such as Snowflake, BigQuery, or Redshift is beneficial.
• A strong understanding of how data platforms enable analytics, AI, and business outcomes.
• Confident stakeholder management skills, with the ability to influence and handle challenging conversations.
• Backgrounds spanning data engineering, analytics, product, or consultancy are all well suited to this role.

APPLY BELOW!

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