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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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LEAD DATA ANALYST
LONDON/HYBRID
UP TO £55,000

This is an opportunity to take ownership of advanced analytics within a growing data function and shape how insight is delivered across high profile client work. You will move beyond standard reporting, driving best practice analytics across campaign strategy, execution and performance, while building towards a leadership role.

ROLES AND RESPONSIBILITIES:
The Lead Data Analyst will:

• Lead the delivery of advanced analytics across pre campaign analysis, campaign creation support and outcome evaluation
• Act as a subject matter expert, ensuring analytical best practice and high quality outputs across the team
• Work with a wide range of data including campaign performance, sales, financial and customer datasets
• Translate complex analysis into clear, actionable recommendations for stakeholders
• Support and mentor junior analysts, initially overseeing one or two team members with scope to grow to a larger team
• Collaborate closely with senior leadership to enhance the use of advanced analytics within the business
• Manage multiple projects and priorities within fast paced, client driven timelines

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

• Strong programming capability in Python
• Experience working with large, complex datasets and performing advanced analysis
• Ability to draw insight from varied data sources and communicate findings effectively
• Strong organisational skills with the ability to manage competing demands
• Experience mentoring or supporting junior team members, or a clear desire to move into leadership
• Exposure to commercial or client facing environments is beneficial but not essential
• Knowledge of data modelling, data quality and validation principles

APPLY BELOW!

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Senior Data Analyst

Permanent role – 2/3 days a week in the office – London

Up to £55k + benefits

The Role:

We are seeking a Senior Data Analyst to join a growing data and analytics function, combining hands-on analytical work with team leadership responsibilities. You will lead the delivery of complex analysis, support strategic business initiatives, and help shape how data is used across the organisation. Alongside managing and mentoring a small team of analysts, you will work closely with senior stakeholders to drive data-led decision-making, improve processes, and identify opportunities for automation and innovation.

Requirements:

• Proven experience leading or owning data and analytics projects.
• Strong analytical skills with Python (or a similar programming language).
• Advanced Excel skills.
• Experience working with large and complex datasets.
• Knowledge of data modelling, data cleansing, and data enrichment techniques.
• Understanding of data quality assurance, validation, and governance principles.
• Experience managing multiple priorities and delivering projects to deadlines.
• Strong stakeholder management, communication, and organisational skills.
• Previous experience mentoring, coaching, or leading analysts.

What Will Make You Stand Out:

• Experience managing or developing high-performing analytics teams.
• Ability to translate complex data into actionable business recommendations.
• Experience driving process improvement and automation initiatives.
• Background in media, marketing, agency, advertising, or similar fast-paced commercial environments.
• Experience working with geographic or location-based datasets.
• A passion for championing data-driven decision-making across an organisation.

If interested in the role please apply. To follow up please email or message me on LinkedIn.

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Analytics Manager
Greater London Area
Up to 89k

This is an opportunity for an analytics professional who enjoys working at the intersection of data, commercial strategy, and decision making. You will combine strong SQL and Python expertise with clear communication to deliver insights that directly influence business outcomes.

The Company
They are a large, data-driven organisation undergoing a significant transformation, with analytics at the core of their strategy. Operating across multiple business areas, they manage complex datasets and prioritise evidence-based decision making. The environment is collaborative, with close interaction between analytics, digital, finance, and data science teams. They are committed to building scalable analytics capabilities and improving how data informs commercial performance.

The Role

• Deliver robust analytics to support key business decisions, using internal and external data sources
• Build and maintain dashboards and reporting solutions to track performance and KPIs
• Lead analytical projects including A B testing, cohort analysis, segmentation, and trend analysis
• Use advanced SQL to query and manipulate large datasets within a data warehouse environment
• Develop repeatable analytical workflows using Python to improve efficiency and consistency
• Ensure data accuracy and integrity through validation, quality checks, and clear documentation
• Translate complex analysis into clear, actionable insights for non-technical stakeholders
• Collaborate with cross-functional teams to align metrics, definitions, and outputs

Your Skills and Experience

• Strong commercial experience in analytics within a data-rich environment
• Advanced SQL skills, including joins, aggregations, and window functions
• Experience using Python for analysis, automation, and reproducible workflows
• Experience with A B testing and experimental design
• Strong understanding of data modelling, KPIs, and performance measurement
• Experience building dashboards in Power BI or a similar BI tool
• Ability to communicate insights clearly and influence decision making
• Experience managing data quality and working with complex datasets

Please apply with your CV.

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Senior Data Analyst
London (Hybrid 3 days in office)
Up to 55k

This is a promising opportunity for a Senior Data Analyst to step into a hands on role within a growing data and technology environment. You will combine advanced analytics with team leadership, playing a role in shaping how data drives business decisions and client outcomes.

The Company
They are an ambitious and fast scaling organisation operating at the intersection of data, technology and digital performance. Working across a range of commercial projects, they deliver data driven insights that influence strategic decision making and campaign performance. The business brings together expertise across data, analytics and digital execution, creating a collaborative environment. With continued growth, they offer opportunities for progression and ownership.

The Role
You will lead on complex analytical work while mentoring junior analysts and supporting senior stakeholders across the business. This role blends technical delivery with people leadership and strategic input.

• Lead the design and delivery of advanced data analysis to support business decisions
• Manage, mentor and develop a small team of analysts
• Act as a key escalation point for complex technical and analytical challenges
• Translate business requirements into data driven solutions and insights
• Collaborate with senior leadership to shape data strategy and priorities
• Ensure high quality outputs across team deliverables and client projects
• Drive improvements in processes through automation and best practice
• Manage multiple projects, timelines and stakeholder expectations

Your Skills and Experience

• Strong commercial experience using Python for data analysis and dashboarding tool
• Strong understanding of data modelling, cleansing and enrichment techniques
• Experience working with large and complex datasets
• Ability to lead projects and support or mentor junior team members
• Strong attention to detail and organisational skills
• Experience managing multiple priorities in a fast paced environment

What They Offer

• Exposure to diverse and impactful data projects
• Collaborative and supportive team environment
• Clear progression opportunities as the business continues to scale

How to Apply
If you are Data Analyst or a senior analyst ready to step into a leadership role, apply now to find out more.

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Analytics Manager
London, Hybrid
Salary up to £89,000

This is a high-impact opportunity to shape how a large, customer-facing organisation uses data to drive commercial decisions. Sitting at the intersection of analytics, strategy, and insight, this role offers strong visibility across senior stakeholders and the chance to influence decision-making at scale through high-quality, data-driven storytelling.

The Company
They are a well-established, data-rich organisation undergoing a major transformation, with a strong focus on improving customer outcomes and business performance through analytics. With multiple data sources across digital, retail, and finance, they are investing heavily in their analytics capability. The business fosters a collaborative environment where insights are central to strategic planning and execution.

The Role
You will lead analytics delivery across a broad portfolio of business questions, partnering closely with commercial and insight teams. Key responsibilities include:

• Delivering analysis that combines multiple data sources to create clear, actionable narratives for stakeholders
• Leading regular analytics outputs including reporting, test and learn frameworks, and competitor analysis
• Developing and maintaining dashboards, improving efficiency through automation and self-service tools
• Supporting ad hoc deep dives into key business challenges and opportunities
• Enhancing analytics methodologies and ensuring consistency across teams
• Collaborating with stakeholders across digital, retail, finance, and data functions

Your Skills & Experience

• Strong commercial experience in analytics, covering both performance reporting and deep-dive insight
• Proven ability to translate analysis into clear recommendations that influence decision-making
• Advanced SQL skills, with experience working with large and complex datasets
• Experience with Power BI or similar BI tools for dashboard development and optimisation
• Working knowledge of Python or R for analysis, automation, or statistical evaluation
• Strong understanding of data models, KPI design, and data quality assurance
• Experience with analytical techniques such as segmentation, cohort analysis, and test-and-learn approaches

How to Apply
If you are interested in applying your analytics expertise in a role with real business impact, please submit your CV to find out more.

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Director, Data Center Engineering

Location: San Francisco, CA / Remote (U.S.)
Full-Time

Salary: Up to $350,000 base + bonus + equity

Overview

We are seeking a Director of Data Center Engineering to lead the design, innovation, and optimization of next-generation, large-scale data center infrastructure. This is a high-impact leadership role responsible for shaping future-ready, highly resilient, and energy-efficient environments supporting rapid growth in cloud and AI-driven workloads.
You will work at the intersection of engineering, construction, and operations, driving engineering strategy across a multi-site or global portfolio while influencing executive-level decisions on infrastructure investments and design standards.

What You’ll Do
Strategic Engineering Leadership

Own and evolve data center engineering strategy aligned with long-term capacity and growth objectives
Lead the design and standardization of electrical and mechanical systems across new builds and retrofits
Establish and scale global engineering standards, design frameworks, and best practices

Design & Innovation

Drive the development of next-generation architectures (high-density compute, GPU/AI-ready environments)
Champion efficiency and sustainability initiatives, including PUE reduction and carbon impact goals
Evaluate and deploy emerging technologies (liquid cooling, modular builds, advanced power systems)

Cross-Functional Partnership

Partner closely with construction, operations, and capacity planning teams to ensure seamless delivery from design through operations
Support site selection, feasibility studies, and due diligence efforts
Serve as a senior technical advisor to internal leadership and external stakeholders

Performance & Optimization

Lead initiatives focused on reliability, scalability, and lifecycle optimization
Drive continuous improvement through data-driven analysis and performance metrics
Ensure designs meet or exceed Tier III/IV uptime and redundancy standards

Preferred Qualifications

Bachelor’s or Master’s degree in Engineering (Electrical, Mechanical, or related field)
Professional certifications (PE, PMP, or equivalent)
Experience in hyperscale cloud, AI infrastructure, or top-tier colocation environments
Background in Lean, Six Sigma, or operational excellence methodologies

Requirements

Must be authorized to work in the U.S. (no sponsorship available)

Why This Role

Direct influence on next-gen infrastructure powering AI and cloud growth
Visible, high-impact role with executive exposure
Competitive compensation: top-of-market base + equity upside
Opportunity to shape global engineering standards and innovation roadmap

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