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SENIOR ANALYTICS ENGINEER

£70,000-£75,000 + BENEFITS

PIMARILY REMOTE

An opportunity to join a popular telecoms company expanding into new markets!

THE COMPANY:

Over the past few years, this telecoms company has expanded. With a rich data set, they have lots of data to work with and are keen to bring in a Senior Analytics Engineer to help with data modelling and transformation.

THE ROLE:

A remote working Senior Analytics Engineer will need to:

• Design and build data models
• Support implementation and maintenance of ELT pipelines
• Ingest data into Snowflake
• Transform data using DBT
• Empower teams to make data driven teams

YOUR SKILLS AND EXPERIENCE:

A successful Senior Analytics Engineer will have the following skills and experience:

• Ability and experience interacting with key stakeholder
• Data modelling techniques – e.g. DataVault, Kimball etc.
• Strong experience in SQL/Python
• Data Cloud Tech experience – e.g. Snowflake/BigQuery/Databricks
• Data transformation experience using DBT

THE BENEFITS:

You will receive a salary, dependent on experience. Salary is up to £75,000 On top of the salary there are some fantastic extra benefits.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Analytics Engineer – 12 month fixed term contract

UK Remote

£67,000 plus benefits

This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow.

The Company

They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence.

The Role

You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include:

• Leading the design and delivery of curated, analytics ready data models within the Lakehouse
• Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight
• Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks
• Embedding data quality, testing, reliability and performance into the curated layer
• Working closely with data engineers, BI teams and business stakeholders to translate complex requirements
• Providing technical leadership, mentoring and setting modelling and engineering standards
• Contributing to CI/CD processes and wider engineering best practice across the data platform

Your Skills and Experience

• Strong commercial experience as an Analytics Engineer within a modern data platform
• Excellent data modelling capability, including dimensional and semantic modelling
• Advanced SQL skills and strong hands on experience with PySpark
• Experience working with Databricks and Lakehouse architectures
• A solid grounding in engineering best practices, testing and data quality
• Confidence mentoring others and taking ownership of technical decisions
• An engineering mindset applied to analytics, rather than an analyst focused role

What They Offer

• Flexible by choice working, supporting different schedules and work life balance
• A 35 hour working week within a supportive, inclusive engineering culture
• The opportunity to shape a critical data programme with real visibility across the business

How to Apply

If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

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Senior Analyst
London – hybrid – 3x a week
Up to £60,000

This is a high impact senior individual contributor role where you will take ownership of some of the most critical commercial metrics in a large, digital first organisation. You will play a central role in shaping how customer value and revenue performance are measured, trusted and used to drive growth across marketing and reader revenue.

The Company
They are a well-established, purpose-led digital publisher with a global audience and a strong focus on reader-sponsored revenue. Operating at a significant scale, they combine subscription and contribution models with advertising to fund high quality journalism. Their data function plays a critical role in supporting sustainable growth and long term customer relationships.

The Role

• Own and continuously improve lifetime value (LTV) and core revenue metrics across multiple products and customer journeys.
• Enhance and maintain analytical data models, ensuring reliability, performance and scalability as products and revenue streams evolve.
• Take ownership of key marketing and revenue dashboards, ensuring stakeholders can trust and act on the insights.
• Support experimentation and A/B testing, providing analytical input for strategic, non BAU initiatives.
• Partner with stakeholders across marketing, product and strategy to interpret performance, explain drivers and guide decision making.
• Contribute to strategic insight projects including customer segmentation, contact base analysis and business planning.

Your Skills and Experience

• Strong commercial experience operating as a senior analyst in a fast paced, data rich environment.
• Proven ownership of lifetime value (LTV) modelling and closely related metrics such as revenue attribution and experimentation analysis.
• Advanced SQL skills with experience using Python for analysis.
• Experience working with BI tools such as Power BI or Tableau.
• Exposure to modern analytics engineering tools such as dbt is beneficial, but not essential.
• Comfortable working independently, prioritising work and managing complex analytical problems.

What They Offer

• A senior, visible role with genuine ownership of business critical metrics.
• The opportunity to influence strategy and revenue growth in a purpose driven organisation.

How to Apply
Apply now to find out more about this senior analytics opportunity and how it could be the next step in your career.

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Lead Data Analyst
London, Hybrid (1-2x per week)
Up to £65,000

This is an exciting opportunity to join a high‑growth organisation where data science directly shapes performance marketing strategy. You will lead a growing data science function, drive long‑term analytical programmes, and play a key role in delivering meaningful commercial impact for well‑known consumer brands.

The Company
They are a specialist performance marketing and technology business known for combining deep analytical expertise with innovative data products. With a rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high‑quality work that genuinely moves the needle for clients. As they scale, they are investing heavily in data science, experimentation, and advanced analytics.

The Role
As Lead Data Analyst, you will oversee a team of data scientists and work closely with senior stakeholders across analytics, data engineering, and technology. You will:
* Lead experimentation and measurement initiatives including incrementality testing, geo‑based studies, brand lift approaches, and causal inference.
* Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting.
* Deploy models into cloud environments and integrate into advertising platforms including Google and Meta.
* Guide long‑term analytical roadmaps and ensure projects drive measurable commercial impact.
* Partner with high‑profile clients, often with direct access to raw data, applying rigorous analytical thinking to real‑world marketing challenges.
* Mentor and support a growing team of data scientists as they expand through the year.

Your Skills and Experience
You will bring:
* Strong commercial experience with SQL.
* Deep knowledge of experimentation methodologies such as incrementality, causal inference, geo testing, or brand lift studies.
* Hands‑on experience with MMM, LTV modelling, and propensity modelling.
* Ability to deploy and maintain models in cloud environments and integrate with marketing platforms.
* Experience delivering impactful, long‑term analytics or data science projects.
* Management or mentoring experience is desirable, but they are also open to strong individual contributors ready to step up.
* Exposure to attribution modelling is a bonus.

What They Offer
* Salary up to £65,000.
* Hybrid working with one day per week in their London office.
* The opportunity to lead a growing data science function with genuine ownership and influence.
* Work with large‑scale datasets from major consumer brands.
* A culture that invests in innovation, long‑term thinking, and high‑impact analytics.

How to Apply
If you are ready to take the next step in your data science career, apply today to find out more.

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PRODUCT DATA ANALYST / SCIENTIST

UP TO £85,000

HYBRID – LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL

*Please note, you must be a UK resident and citizen to apply*

THE COMPANY

Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they’re now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights.

THE ROLE

As a Product Data Analyst/Scientist, you will:

• Own and drive product analytics, focusing on user behaviour and personalisation.
• Deliver insights that directly influence product strategy and experimentation.
• Build and maintain dashboards to track product performance and user engagement.
• Partner with stakeholders across product and analytics to communicate insights effectively.
• Support the business in becoming more data-driven, shaping commercial and product decisions.

YOUR SKILLS AND EXPERIENCE

• Experience in product analytics, within B2C consumer tech businesses
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Looker preferred, open to others).
• Experience with Python desirable.
• Product analytics expertise: experimentation, dashboarding, and driving product strategy.
• Excellent communication and stakeholder management skills.
• Experience influencing product roadmaps and delivering commercial impact.

BENEFITS

• Opportunity to influence product strategy in a PE-backed, high-growth business.
• Work closely with senior leadership, including the Director of Analytics.
• Competitive salary plus benefits.

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Senior Marketing Analyst
London – hybrid – 4 per week onsite
Up to £65,000

This is an exciting opportunity to take on a senior, high impact analytics role combining hands on customer and marketing analytics with the chance to shape thinking around measurement and effectiveness. You will work with well known consumer brands, contribute to strategic conversations across a major agency group, and take ownership of complex analytical work that directly influences marketing performance.

The Company
They are a data driven marketing organisation that helps consumer facing brands better understand their audiences and improve campaign performance. Their work brings together data, marketing, and technology to deliver targeted communications, richer customer insights, and measurable commercial outcomes. You will join a collaborative analytics team that partners closely with internal teams and client stakeholders across digital media, customer analysis, and marketing measurement.

The Role
* Lead analytical work across multiple client accounts, helping shape data driven strategies and campaign optimisation.
* Investigate audience behaviour, targeting performance, and customer interactions across digital media activity.
* Analyse large customer and transactional datasets to identify trends, segment VIP customers, and inform next step recommendations.
* Support discussions on marketing measurement, including Marketing Mix Modelling principles, limitations, and methodological considerations, without building models yourself.
* Represent analytics in wider group meetings, helping evaluate effectiveness work and challenge external propositions where needed.
* Collaborate with commercial, product, and media teams to ensure insights are clearly communicated and acted upon.
* Operate with autonomy while contributing to a wider team and mentoring others where appropriate.

Your Skills and Experience
* Strong commercial experience in customer, digital, or marketing analytics.
* Knowledge of Marketing Mix Modelling or econometrics principles, with the ability to discuss methodologies confidently.
* Good understanding of statistical concepts including experimentation design, uncertainty, and interpretation.
* Skilled in SQL and experienced using a business intelligence tool.
* Comfortable working directly with clients and presenting analytical narratives in a clear, engaging way.
* Experience in an agency or consultancy environment is beneficial but not essential.
* Curious, proactive, and confident navigating technical and commercial discussions.

What They Offer
* Exposure to a wide variety of retail, ecommerce, and delivery focused clients.
* The chance to broaden your expertise across digital measurement, customer analytics, and marketing effectiveness.

How to Apply
To be considered for this opportunity, please apply with your CV.

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Marketing Technology Executive
London, hybrid – 1x a week
Up to £50,000

This is an exciting opportunity to join a growing digital marketing function at a pivotal moment in their marketplace expansion. You will play a key role in shaping technical marketing capabilities, building data pipelines, and ensuring product and stock feeds power accurate, impactful customer targeting across major digital channels.

The Company
They are a well‑established consumer brand undergoing significant investment in digital transformation. With a strong focus on marketplace growth, they are building out modern data and marketing capabilities to support best‑in‑class customer experience. You will join a collaborative digital marketing and data environment where technical innovation is encouraged, and outcome‑based working is the norm.

The Role
You will work within the Marketing Technology team and be responsible for developing and maintaining the product and stock feeds that underpin marketing performance. Your work will ensure accurate data delivery across platforms and empower marketing teams to execute effective, data‑driven activity. Key responsibilities include:

* Supporting the integration of product and stock feeds across multiple platforms.
* Developing, maintaining, and validating data pipelines to ensure accurate, real‑time data flow.
* Ensuring product attributes surface correctly across digital marketing channels.
* Managing integrations with marketing platforms and ensuring data consistency.
* Supporting optimisation and testing frameworks, including feed‑level A/B tests.
* Understanding how data flows through architecture and helping shape technical solutions.
* Working with engineering teams on ETL processes and pipeline health.
* Using tools such as Intelligent Reach, GCP, and Snowflake to support accurate data transformation.
* Collaborating closely with digital marketing teams to ensure campaigns target the right customers.

Your Skills and Experience
* Strong experience working with product and stock feeds in a digital or ecommerce environment.
* Strong understanding of ETL processes, data pipelines, and real‑time data architecture.
* Experience working with GCP or similar cloud environments.
* Hands‑on exposure to marketing technology platforms such as TikTok, Meta, Google, and Snowflake.
* Familiarity with APIs and how they are deployed and managed.
* Experience using or supporting platforms such as Intelligent Reach or similar feed‑management tools.
* Comfortable working on technical integrations and collaborating with engineers and marketers.
* Experience with analytics testing frameworks such as A/B testing.

What They Offer
* Hybrid work environment with flexibility and outcome‑based working.
* Career growth within a marketing technology and data governance function.
* Opportunities to work with modern MarTech tools and support major digital transformation initiatives.

How to Apply
If this Marketing Technology Executive role sounds like the right next step for you, please apply today to start the conversation.

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Digital Merchandising Operations Manager
London (Hybrid, 2 days in office)
Up to £60,000

This is a brand-new opportunity to shape how digital insight influences key commercial decisions. You will be the digital voice across the buy cycle, directly impacting online performance, customer experience, and cross‑functional trading decisions. With strong visibility and backing from senior leadership, this is a role where your recommendations will make a meaningful difference from day one.

The Company
They are a well‑established retail brand with a growing focus on digital excellence. With increasing investment in ecommerce, data, and customer experience, they are building out their digital operations capability to better link online demand with merchandising, planning, and inventory functions. You will join a collaborative environment that values insight, proactivity, and continuous improvement.

The Role
You will sit within the digital visual merchandising organisation and act as the dedicated digital counterpart to Buying, Planning, Inventory, Site Operations, and Commercial teams.

Your responsibilities will include:
* Providing insight across customer behaviour, onsite performance, availability metrics, and digital trading trends to influence pre‑season planning and in‑season decisions.

• Be the link between merchandising and digital metrics, using product views, conversions etc as part of your KPIs and decision making.

* Consolidating product, availability, and demand insight to shape assortment strategy and highlight opportunity areas.
* Flagging risks early, such as light stock positions or delivery timings that may impact digital performance.
* Using availability and performance data to support removal decisions, size depth alignment, and commercial optimisation.
* Acting as a key partner in trading forums, planning meetings, and digital alignment sessions.
* Managing weekly and monthly reporting to surface trends across product performance, zero sellers, customer navigation, and demand signals.

Your Skills and Experience
* Strong stakeholder management experience, particularly with buying, planning, or inventory teams.
* Commercial experience in ecommerce or retail, with exposure to digital performance metrics such as conversion, product views, and availability.
* Confident working with data, using Excel and reporting tools to translate insight into clear, actionable recommendations.
* Comfortable working cross‑functionally and presenting insight to senior partners.
* Highly organised, detail‑focused, and able to operate proactively in a fast‑paced environment.
* A collaborative, communicative personality suited to influencing decisions and championing the digital customer.

What They Offer
* Salary up to £60,000 plus benefits.
* Hybrid working with two days per week in their central London office.
* The chance to shape a newly created function with strong senior sponsorship.
* Clear visibility and impact across commercial, digital, and merchandising teams.
* Opportunities for progression as the digital operations capability continues to grow.

How to Apply
If this sounds like the right next step for you, please apply with your CV for immediate consideration.

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Senior Digital Merchandising Operations Manager
London (Hybrid, 2 days in London)
Up to £70,000

This is an exciting opportunity to join a high‑profile digital function where you will shape assortment strategy, influence senior stakeholders, and act as the digital voice across the full buy cycle. With the role newly created, you will have a blank slate to build best‑in‑class merchandising operations and directly impact customer experience, NPS performance, and commercial results.

The Company
They are a global retail brand recognised for premium product and a strong digital vision. The organisation is investing heavily in elevating customer experience and ensuring digital insights sit at the heart of buying, planning, and trading decisions. You will join a collaborative environment where digital performance is highly visible, and your recommendations directly shape commercial strategy. With a new Merch Ops structure in place, this is a rare chance to influence the operating model from day one.

The Role
As Senior Merchandising Operations Manager, you will:
* Act as the digital voice throughout the buy cycle, shaping pre‑season planning and in‑season trading decisions.
* Provide insight on customer behaviour, onsite performance, availability metrics, and product trends.
* Influence buying, planning, and inventory teams with clear, data‑led recommendations.
* Own availability visibility, depth optimisation, size analysis, and zero‑seller reduction initiatives.
* Identify risks and opportunities across categories, ensuring digital priorities are represented at senior forums.
* Build and deliver digital hindsight packs, seasonal reviews, and commercially relevant insight summaries.
* Strengthen cross‑functional alignment with Buying, Planning, Inventory, Site Operations, Connected Retail, and Business Planning teams.

Your Skills and Experience
You will bring:
* Strong commercial experience in merchandising operations, digital trading, planning, or allocation.
* Direct ecommerce and retail knowledge with a deep understanding of digital KPIs such as conversion and product engagement.
* Advanced analytical capability across Excel and reporting tools, with the ability to translate data into simple, actionable guidance.
* Proven experience influencing senior stakeholders and navigating complex cross‑functional environments.
* Confidence challenging assumptions and driving alignment across multiple teams.
* A proactive, collaborative approach and the ability to thrive in a fast‑paced, evolving digital organisation.

What They Offer
* Salary up to £70,000 depending on experience.
* Hybrid working with two days a week in their central London office.
* High organisational visibility with the opportunity to shape a brand‑new function.
* Strong career development with exposure to senior leadership and strategic decision‑making.

How to Apply
If you are interested in this Senior Merchandising Operations Manager role, please apply with your CV and the team will be in touch.

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Marketing Data Analyst
London – hybrid – 4 days per week onsite
Up to £50,000

This is a great opportunity to join a data driven marketing environment where you will help major consumer brands understand their customers, optimise digital campaigns, and use data to drive measurable commercial impact. If you enjoy solving problems, working closely with clients, and telling stories through data, this role offers both variety and real influence.

The Company
They are a well-established marketing and technology business trusted by leading retail and ecommerce brands. Their work centres on helping clients understand audiences, target customers more effectively, and measure performance using advanced data and digital tools. They operate in a highly collaborative environment where data, analytics, and technology come together to deliver smarter marketing. You will join a growing London based team who partner closely with clients to shape decisions and improve campaign performance.

The Role
You will work as part of a multi-skilled analytics team to deliver actionable insights across customer, media, and campaign data. Your work will include:
* Analysing digital campaigns to understand audience behaviour, performance drivers, and opportunities to optimise.
* Manipulating large datasets using SQL to uncover insights and support client decision making.
* Identifying trends in customer and transactional data, including VIP or high value customer segments.
* Supporting the development of data led strategies across multiple client accounts.
* Contributing to presentations and discussions with clients as part of a wider team.
* Collaborating with commercial, media, and product teams to help shape measurement and targeting approaches.

Your Skills and Experience
* Strong commercial experience working as an analyst in marketing, digital, CRM, or customer analytics.
* Confident manipulating data using SQL.
* Experience with a BI or data visualisation tool. Tableau is preferred but not essential.
* Comfortable working with customer, audience, or transactional data.
* Able to interpret performance, tell a clear story, and contribute to client facing discussions.
* Curious, proactive, and keen to contribute ideas in a collaborative environment.
* Agency or consultancy experience is beneficial but not required.
* Knowledge of digital advertising or measurement methods such as MMM is an advantage.

What They Offer
* The chance to work with well-known consumer brands across retail, ecommerce, and delivery.
* Clear opportunities to broaden your skills in digital analytics, customer insight, and marketing measurement.

How to Apply
If this role sounds like a good match, please apply with your CV to be considered.

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Senior Product Analyst
London – hybrid 3x a week
Up to £70,000 + bonus

This is an opportunity to join a fast-scaling digital bank at a pivotal stage of growth, where product analytics plays a central role in shaping strategy and driving commercial impact. You will work on high profile, customer facing products and be trusted to influence decisions from day one in an environment that values curiosity, rigour and clear thinking.

The Company
They are a well-established, profitable fintech bank with a strong consumer focus and a reputation for high hiring standards across data and product. Following significant growth in customers, revenue and product range, the business continues to invest heavily in analytics as a core capability. With a modern tech stack, strong leadership and a collaborative culture, they offer a setting where analysts are empowered to make a real difference.

The Role
You will sit within a large, central product analytics function, embedded directly into a specific product area. Depending on your interests and background, this could sit amongst a specific financial product. Your focus will be on turning complex data into clear, actionable insight that drives value.

Key responsibilities include:

• Partnering closely with Product Managers, Engineers and senior stakeholders to inform product strategy
• Defining and owning core product metrics that measure performance and customer outcomes
• Analysing large, complex datasets to uncover opportunities, risks and trends
• Structuring ambiguous problems into clear analytical approaches
• Designing and evaluating experiments to test hypotheses and guide product development
• Communicating insight clearly to both technical and non technical audiences

Your Skills & Experience

• Strong commercial experience in a product analytics or data analytics role
• Strong experimentation-focused experience and background
• Advanced SQL capability, including complex joins, aggregations and analytical problem solving
• Experience working with large datasets in fast paced, data driven environments
• Confidence translating analysis into recommendations that influence decision making
• Ability to reason from first principles and clearly explain your thinking
• Python experience is beneficial but not essential

How to Apply
If you are a commercially minded Product Analyst looking to make a tangible impact within a high growth digital bank, apply now to find out more about this opportunity.

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