Opportunities in United Kingdom

We are hiring a Director of Data for a global rewards and marketing analytics business. This is a hands-on leadership role focused on maximizing the value of an established data and analytics platform, with an emphasis on delivering against an existing roadmap rather than defining strategy from scratch. You will lead a small data and analytics function, driving execution and helping the business extract greater commercial value from its data products.

Key responsibilities include turning data into commercial insight and client value, driving adoption of analytics and data products, and supporting the development of predictive and advanced analytics capabilities. You will also improve data literacy and stakeholder engagement, and work closely with product, engineering, and commercial teams to ensure analytics capabilities translate into measurable business outcomes.

The role typically requires a strong background in analytics, BI, and advanced analytics, along with hands-on experience using SQL and ideally Python. Strong stakeholder management and communication skills are important, as is comfort operating in a fast-paced, delivery-focused environment and influencing effectively within a small, hands-on leadership structure. Preferred experience may include loyalty, rewards, marketing analytics, or consultancy, along with exposure to AI and predictive analytics, and experience in global or multi-market organizations.

the client is seeking a senior data leader to own data strategy and governance across a fast-growing, technology-led financial services business. In this role, you will shape how data is governed, trusted, and scaled so that data quality supports decision-making and client outcomes, while helping build a robust operating model aligned to long-term growth.

As Head of Data Strategy and Governance, you will define and embed how data is owned, managed, and trusted across the organisation. You will deliver the data strategy, operating model, and governance framework; establish clear data ownership, standards, and accountability in a federated environment; lead data quality initiatives across multiple data sources; and build and maintain a single source of truth, including data dictionaries and master data approaches.

You will oversee the data platform within an AWS and Databricks environment, ensuring scalability and reliability, and provide strategic oversight of BI and analytics by partnering with teams to enable trusted reporting. You will also manage and develop a multi-disciplinary data team spanning operations, governance, and BI, bringing strong commercial experience in data strategy and governance, deep understanding of data quality management and controls, and the ability to translate complex concepts for both technical and non-technical stakeholders, with experience in regulated or data-intensive environments being beneficial. Hybrid working is expected with time in a central London office.

The client is seeking a Head of Research to take ownership of a qualitative insight function within a senior leadership role. This position offers real scope, including leading a team, shaping capability, and contributing to integrated communications work for globally recognized brands in an environment that blends insight, creativity, and strategy.

As Head of Qualitative Research, you will lead, develop, and expand the qualitative research team (currently small, with plans to grow). You will own and evolve the qualitative research offering, deliver high-quality qualitative work while remaining hands-on as needed, and partner with senior client-facing stakeholders on key relationships. You will also play a central role across major global accounts, introducing new methodologies and innovative approaches, and contribute to new business and capability positioning within a matrix structure across insight, creative, and client teams.

The role calls for a strong qualitative research background and demonstrated client-facing skills, including experience working with large, global brands. You should have proven team leadership or practice-building experience, deep expertise across qualitative methodologies, and commercial awareness with client-facing confidence. The ideal candidate will bring a credible, senior presence and be able to lead effectively from the outset.

The client is hiring an Account Analytics Analyst to join a high-performing analytics team supporting data-driven marketing efforts for major brands across digital channels. The role focuses on analyzing campaign performance and customer behavior to uncover actionable insights and help shape more effective marketing strategies. You will support client work through data-led recommendations and collaborate with internal teams to translate analytics into clear, business-relevant guidance.

Your responsibilities will include analyzing customer and campaign data, evaluating marketing performance across digital channels, and identifying trends, audience behaviors, and opportunities to improve engagement. You will also assist with segmentation and targeting by providing customer insights, and help ensure findings are communicated effectively to support improved marketing outcomes for clients.

The client is looking for an analytics professional with experience in a Data, Marketing, or Insights Analyst role and strong SQL skills working with large datasets. Familiarity with BI tools is expected, with Tableau preferred, and exposure to digital marketing, CRM data, or agency/consultancy environments is ideal. Strong communication skills are required to tell a story with data, along with a curious, proactive approach and comfort working in a client-focused environment.

We are seeking a senior Director, Commercial Analytics to lead and shape how commercial performance is measured and understood across multiple markets. In this role, you will partner closely with senior stakeholders to influence strategy, investment, and growth, with international impact in a high-growth, global healthcare organization operating a recurring revenue, SaaS-like commercial model.

You will act as the international commercial analytics partner across sales, marketing, and market access, translating ambiguous business questions into clear analytical frameworks and actionable insights. Responsibilities include leading and developing a small, high-performing analytics team; driving standardized metrics and measurement across regions while accommodating local nuance; owning attribution and effectiveness measurement for commercial activity; synthesizing complex data into clear narratives for senior leadership; and helping to establish and scale a new international analytics capability.

The ideal candidate will have a strong background in commercial analytics within complex, regulated environments, along with proven people leadership experience scaling analytics capabilities. You should be comfortable operating in ambiguity and challenging business thinking, and have experience with attribution, measurement, and market research data. The role also requires executive-level communication and data storytelling skills and the ability to work across different healthcare or distribution models, while collaborating confidently with stakeholders to support commercial decision-making.

the client is hiring a Director of Data to lead and evolve the data and analytics function across a global marketing and rewards business. This role offers ownership of an established data capability, with a modern data infrastructure, a central data platform, and existing data-led products forming a strong foundation. The focus is on maximizing value through analytics, insight, and predictive capabilities to support the next phase of growth.

The Director of Data will lead the data and analytics function, drive adoption and data literacy, and ensure commercial impact from data products. Responsibilities include delivering advanced analytics and predictive insights to support client campaigns, embedding data into decision-making through close collaboration with senior stakeholders, and executing and scaling an established data strategy and analytics capability across the business.

The client seeks a senior leader with experience leading data and analytics functions, a strong background in analytics, insight, and commercial data use, and the ability to influence and engage senior stakeholders. The role requires technical credibility, including experience with SQL, Python, and modern data platforms. Experience with customer, marketing, or product data is beneficial, and the position is expected to operate in a collaborative, fast-paced leadership environment.

Research Manager position at the client, a high-growth research and technology business focused on transforming how organizations understand consumers, citizens, and audiences. The role supports diverse clients by owning end-to-end quantitative research projects and delivering high-quality insights using modern research technology and robust quantitative methods. You will work across a range of sectors and help ensure projects are delivered with strong analytical rigor.

Key responsibilities include independently managing and delivering quantitative research projects across areas such as political, consumer, and multi-market studies, from scoping through to presenting results. You will lead client communication as the main point of contact, manage client accounts, and understand broader strategic needs. The role also involves creating data tables and outputs using internal tools, partnering with consulting and analytics teams on larger insight programmes (sometimes leading them end-to-end), and supporting a range of research activities including survey design, sampling management, data integrity, and programme delivery such as brand tracking, brand lift, ad testing, segmentation, and multi-country research.

To succeed, you will typically bring strong experience delivering quantitative market research from brief to debrief, including designing surveys, managing fieldwork, and producing data tables and cross-breaks. You should be comfortable cleaning raw data and ensuring outputs meet high quality standards, with strong Excel capability and familiarity with research platforms such as DisplayR considered beneficial. The client expects commercial awareness to support quoting and proposals, confidence in client conversations to challenge assumptions and provide clear recommendations, and the ability to mentor and develop junior researchers in a detail-oriented, proactive, and committed manner.

Join a fast-growing, digital-first organization where product analytics is central to shaping customer experience and commercial outcomes. You will work within a product-focused environment, partnering with Product and Engineering to make data-led decisions across high-impact initiatives. The organization values autonomy, collaboration, and thoughtful problem-solving, with an analytics culture where insight meaningfully influences decisions.

In this role, you will act as an embedded analytics partner within a product area, helping ensure that insight informs product strategy. You will define and own product performance metrics, analyze complex datasets to identify trends, risks, and opportunities affecting customer experience and commercial performance, and design and evaluate experiments to support product development and optimization. You will also translate ambiguous business problems into clear analytical approaches and actionable insights, and communicate findings clearly to both technical and non-technical stakeholders.

You should have strong SQL capability and experience working with large, complex datasets, along with a background in product, commercial, or customer analytics in a fast-paced setting. Experience with BI tools such as Tableau, Looker, or Power BI is expected, and Python exposure may be beneficial. You should be comfortable structuring open-ended problems and working independently, and be a confident communicator who can influence stakeholders through clear, data-driven storytelling.

the client is hiring three contractors for revenue analytics and pricing data science roles to support a growing commercial analytics and revenue management capability across Europe. This is a high-impact, stakeholder-facing position focused on delivering practical analytics solutions and influencing key commercial decisions in fast-paced, evolving environments. Contractors will be expected to operate effectively in ambiguity, helping shape requirements as priorities evolve.

Key responsibilities include building and enhancing pricing and revenue dashboards, using Tableau to deliver clear commercial visibility. The roles will translate business questions into actionable analytics, develop reporting tools that support pricing and onboarding decisions, and provide commercial insights to pricing and revenue stakeholders. The work will involve close collaboration with stakeholders to ensure analytics outputs are decision-relevant and usable.

Essential qualifications include strong SQL skills, proven Tableau dashboard development experience, and experience working with commercial or pricing stakeholders. Candidates should be able to influence business decisions through data and work independently in evolving environments. Preferred or “nice to have” capabilities may include Python for forecasting, optimization, or modeling; experience in pricing, revenue analytics, or commercial modeling; and exposure to machine learning (for example, scikit-learn). A structured interview process with a commercial and technical deep dive is expected, with interview activity beginning next week and an anticipated start date of 27 May.

As Head of Data, you will lead and take ownership of the company-wide data strategy within a fast-growing, product-led technology business. The role is focused on bringing structure to a fragmented data landscape, establishing a scalable and well-governed data platform, and making measurable impact quickly by unifying data across the organization.

You will own and define the data strategy, shifting from reactive practices to a more consistent and scalable approach. Responsibilities include improving data quality, consistency, and architecture across multiple sources; designing and maintaining data pipelines for ingestion and transformation to support analytics and reporting; and evolving the data technology environment to identify areas for improvement. You will also act as a thought leader, working closely with BI, product, and non-technical stakeholders to shape how data is used across the business.

Initially, you will manage and mentor two data engineers, with the team expected to grow as the function develops. You will bring a strong background in data engineering and data platform ownership, with experience in complex, multi-source data environments and confidence managing stakeholders across technical and non-technical groups. Hands-on experience with cloud-based data stacks is expected, and prior management or mentoring experience is preferred; familiarity with semantic layers or AI-led data accessibility tools is advantageous. You will also help shape the organization’s practical approach to AI for internal use cases that improve access to data.

The client is seeking a Head of Data to take full ownership of the organization’s data strategy, transformation, and AI enablement. This role will lead efforts to reshape a fragmented, reactive data landscape into a unified, scalable, and AI-enabled function that supports the wider business.

Key responsibilities include defining and delivering the company-wide BI and data strategy; owning and evolving the data platform, including architecture, data pipelines, and tooling; establishing a “single source of truth” through improved data quality, governance, and data modeling; designing and implementing a semantic or AI layer to enable natural language data access; and driving self-serve analytics adoption across teams.

The ideal candidate will have strong experience in data strategy, platform ownership, and modern data architecture, as well as data modeling and ETL pipelines involving data lakes and cloud environments (with AWS being preferred). They should be comfortable managing and influencing senior stakeholders and leading change to drive adoption of data and AI tools among both technical and non-technical teams.

The client is seeking a Paid Social and Programmatic Executive to join a performance marketing team during a period of continued digital investment and transformation. The role provides a balance between hands-on programmatic delivery and exposure to paid social, with opportunities to take ownership of performance and contribute to data-led marketing at scale.

You will sit within the performance marketing function, working closely with senior specialists and stakeholders across the business. Core responsibilities include creating, activating, and optimizing programmatic display and video campaigns with some involvement in paid social; managing day-to-day campaign performance and reporting against KPIs; using performance data to deliver actionable insights; and collaborating with creative and brand stakeholders to support high-quality, data-informed creative execution. You will also support the delivery of qualified traffic through effective performance marketing activity.

Strong commercial experience in programmatic marketing is required, along with exposure to paid social. You should be confident interpreting performance data to inform optimization decisions, experienced in managing campaigns against performance and budget targets, and able to present insights clearly to stakeholders. The client is looking for a highly organized, detail-oriented professional who can thrive in a fast-paced environment and communicate effectively while supporting continuous performance improvements.

Reporting to an SEO Manager, this Senior SEO Executive role supports the delivery of organic search performance within a high-growth retail group. The position focuses on day-to-day SEO optimisation and execution in a fast-paced environment, with the function expected to be highly visible and instrumental in driving traffic and revenue across the business.

Key responsibilities include supporting SEO strategy execution, making recommendations to improve rankings and performance, conducting keyword research and analysis, and performing technical SEO audits to identify and resolve issues. You will also optimise site structure, internal linking, and on-page content, help support content creation for category pages and other guidance-focused materials, assist with link-building activity, and report on SEO performance.

The ideal candidate will have a strong understanding of SEO fundamentals, be proactive, and be able to manage multiple priorities effectively while working at pace. Practical experience with SEO tools such as Screaming Frog is expected, along with familiarity with platforms like Google Search Console and GA4; additional tools (such as Botify, Pi Datametrics, or SEMrush) may be treated as advantageous.

This senior leadership opportunity will shape a modern, AI-enabling analytics function at a critical point of transformation. With the role positioned at the centre of the business, it combines strategic leadership with hands-on delivery to influence how data, analytics, and decisioning drive commercial outcomes. the client is a consumer-focused organization operating in a highly data-rich, regulated environment, with a strong emphasis on responsible decision-making and customer outcomes.

You will lead a centralized Analytics and MI function serving multiple business areas as an internal consultancy. Key responsibilities include leading and developing a high-performing analytics team, shifting reporting from descriptive to actionable, insight-led analytics that supports senior decision-making, and embedding AI and advanced analytics capabilities into day-to-day workflows to improve the speed, quality, and scalability of insight. You will also oversee scalable data and reporting infrastructure, including automated reporting and governed “gold layer” datasets, and manage a decisioning migration by line-managing a Decision Engine Manager and overseeing the move to a new decisioning platform.

The role also involves managing and prioritizing a shared analytics workload across finance, marketing, and executive stakeholders. You should have strong leadership experience in analytics or MI within a complex commercial environment, along with a proven ability to translate data into clear, actionable recommendations for senior stakeholders. Hands-on technical capability is expected, with SQL required and Python experience preferred, plus familiarity with modern data stack tools (such as Snowflake and Power BI or similar). Practical experience applying AI tools within analytics is required, including an understanding of benefits, limitations, and governance, and you should be comfortable operating in fast-moving environments where structure may be evolving.