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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 of Streaming Product and Growth

Leeds, 3 days per week. Salary up to £160,000 plus bonus.

This is an opportunity to shape the future of a major UK digital platform as it accelerates its transition from a traditional model to a digitally led, subscription-first business. You will take ownership of a high-profile streaming product, driving commercial growth, shaping the proposition, and influencing strategy at the highest levels of the organisation.

The Company

They are a well-established UK media organisation undergoing significant digital transformation. With a clear ambition to grow their streaming offering and increase digital revenue, they are investing in building a scalable, customer-first subscription business. Operating at the intersection of content, product, and data, they are focused on creating engaging digital experiences and unlocking new growth opportunities.

The Role

• Own the commercial strategy for a subscription-based streaming product, driving revenue growth and improving P and L performance
• Define and deliver the commercial roadmap, including pricing, positioning, and go-to-market strategy
• Lead cross-functional teams across product, marketing, analytics, finance, and editorial to execute growth plans
• Develop and optimise subscription mechanics, including acquisition, retention, and churn reduction strategies
• Use data and insight to inform decision making, customer segmentation, and performance optimisation
• Influence senior stakeholders across the organisation, including C-suite, to align on strategy and delivery
• Identify new market opportunities, partnerships, and product enhancements to drive long-term growth

Your Skills and Experience

• Strong commercial leadership experience within digital or subscription-led businesses
• Proven ability to own and improve P and L performance in a growth environment
• Deep understanding of subscription models, including pricing, churn management, and revenue forecasting
• Experience working across multiple functions, aligning teams without direct authority
• Confident stakeholder management, with the ability to influence senior leadership
• Background in industries such as streaming, media, gaming, telecoms, or other subscription-driven sectors
• Broad, generalist mindset with exposure to marketing, product, and analytics rather than a narrow specialism

What They Offer

• Opportunity to play a key role in a large-scale digital transformation
• High visibility position with exposure to senior leadership and strategic decision making
• Scope to build and shape a growing digital function

How to Apply

If you are a commercially driven leader with experience in digital growth and subscription strategy, apply now to learn more.

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Our client is seeking a Senior Data Architect/Strategist who blends advanced data knowledge with real-world problem solving, someone who can move seamlessly between developing predictive models and translating complex data into clear, actionable insights. You’ll be an integral part of a multidisciplinary team using data science and machine learning to drive intelligent products, automation, and smarter business decisions. You have deep experience with statistical modeling, machine learning, and experimentation. You’re collaborative, business-savvy, and known for delivering results that move the needle. Experience is required in technical leadership, mentoring of staff and recommend training of staff. Also experience in working closely with complex customers.

What You’ll Do

Modeling & Advanced Analytics: Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization). Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges. Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact.

Data Exploration: Analyze large, complex datasets to extract key insights and translate them into strategic recommendations. Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization. Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.

Qualifications & Experience

-7+ years of professional experience in data science, statistics, and applied machine learning.

-Deep proficiency in Python or R, with strong skills in libraries like scikit-learn, TensorFlow/PyTorch, models, algorithms and ontologies.

-Building and deploying Data Mesh architectures.

-Strong experience in AWS tools and infrastructure and cloud

-AI and data tools essential.

-Experience in working in other cloud environments (GCP, or Azure) would be an advantage.

-Demonstrated success deploying models into production environments using APIs, pipelines, or ML frameworks.

-Proven track record in statistical modeling, time series forecasting, NLP, or optimization.

-Experience designing and analyzing controlled experiments (A/B testing, uplift modeling).

-Background in quantitative disciplines such as Computer Science, Statistics, Mathematics, or Engineering.

-Experience with tools such as Databricks, SageMaker, and Snowflake is essential. Experience of Palantir would be an advantage.

-AWS cloud certifications or ML specialization credentials are an advantage.

Core Competencies

-Scientific Thinking – Brings strong analytical and statistical foundations; frames problems rigorously and tests hypotheses systematically.

-Practical Execution – Focuses on delivering actionable insights and real-world model impact, not just theoretical accuracy.

-Business Acumen – Understands the “why” behind the data; aligns analysis with client goals and product strategy.

-Ownership & Accountability – Delivers high-quality, reliable work end-to-end; takes pride in outcomes.

–Communication – Explains technical results clearly and persuasively to diverse audiences.

Tech stack

AWS, Python, TensorFow/PyTorch, Data Mesh, Databricks, SageMaker, Snowflake

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Analytics Engineer
London, Hybrid (2 days in office) | Up to £85,000
No sponsorship available now or in the future.

This is an opportunity to join a high growth, product led business where data sits at the centre of decision making. You will play a key role in shaping scalable data models and powering insight across the organisation, directly influencing how products are built and improved.

The Company

They are a fast growing digital platform operating within the financial services space, supporting a large and expanding customer base across the UK. The business is mission driven, focused on helping people make smarter long term decisions, with data deeply embedded in their strategy. Their environment is collaborative, inclusive, and focused on continuous improvement, with strong investment in modern data tooling and practices.

The Role

As an Analytics Engineer, you will bridge the gap between data engineering and analytics by creating reliable, analysis ready datasets and scalable data models. You will work closely with analysts and stakeholders to enable high quality insights across the business.

• Design and build automated data transformations to create trusted datasets
• Develop and scale data models and data catalogues across the platform
• Collaborate with analysts and stakeholders to deliver new analytics features
• Improve code quality, documentation, and best practices across the team
• Champion analytics engineering principles within the wider data function
• Enable improved reporting and insight through well modelled data structures

Your Skills and Experience

• Strong commercial experience working with large datasets and delivering insight
• Advanced SQL skills within modern data platforms such as Snowflake, Databricks, or BigQuery
• Experience building and automating data pipelines and transformations
• Familiarity with dbt for data modelling and transformation workflows
• Working knowledge of Python for data processing
• Experience supporting BI tools such as Power BI or similar platforms
• Understanding of data warehouse modelling principles and best practices
• Experience with version control tools such as Git
• Exposure to CI/CD concepts is beneficial
• Experience within financial services is advantageous but not essential

What They Offer

• Salary up to £85,000
• Performance related bonus
• Hybrid working model with London office presence
• Company pension scheme
• Private medical insurance and health cash plan
• Annual learning and development budget
• Home office setup support
• Cycle to work and wellbeing benefits
• Generous annual leave with additional entitlement over time
• Inclusive and collaborative culture with clear progression opportunities

Please note that candidates must be based in the UK. Sponsorship is not available for this position.

How to Apply

If you are interested in applying your analytics engineering expertise in a growing, impact driven environment, please apply with your CV.

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