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Senior Content Marketing Manager

Up to £45,000 | Hybrid (3 days a week in London)

Are you a content leader ready to take ownership of a growing function and drive a digital-first strategy across multiple consumer brands? This is a brilliant opportunity to shape the content direction for one of the UK’s most established property services groups.

The Opportunity

We’re looking for a Senior Content Marketing Manager to lead a small team and evolve our approach to multi-channel storytelling – from traditional comms to SEO-led digital content. You’ll oversee strategy, tone of voice, and output across several well-known national brands, bringing structure, creativity and innovation to how we communicate with customers.

What You’ll Do

• Own and develop the content strategy across multiple brands and audiences

• Lead and mentor two content executives (digital + editorial focus)

• Shift the business toward richer, digital-first content (blogs, SEO pages, journey content)

• Support lifecycle campaigns across email, print, programmatic and web

• Collaborate with senior stakeholders on content initiatives across marketing, FS and compliance

• Champion new formats – podcasts, AI-assisted writing, SEO optimisation and more

About You

• Experienced content marketer with a strong digital background

• Confident leading and mentoring a small team

• Skilled in adapting tone of voice for multiple audiences

• Comfortable engaging with senior stakeholders

• Passionate about modern content formats, SEO and content performance

The Details

• Salary: Up to £45,000

• Location: Hybrid – 3 days per week in London (Tues/Weds/Thurs)

• Travel: Occasional (approx. twice monthly to other UK offices)

Join a collaborative, forward-looking marketing team and help redefine how a major UK property group connects with its audiences.

Find out more and apply via the link below.

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Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

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To Apply for this Job Click Here

Senior Data Analyst – Dating App

Location: London (Hybrid)
Salary: £55,000 – £60,000

We are looking for a Senior Data Analyst to join our fast-growing dating product team. In this role, you’ll drive insights that directly shape product strategy, user experience, and feature development.

Key Responsibilities

• Own analysis of key dating funnel metrics (sign-ups, matches, retention, conversions).

• Build dashboards to track engagement and performance across markets.

• Design and analyse A/B tests to validate new product features.

• Provide clear insights that influence product, marketing, and leadership decisions.

Ideal Candidate

• 8+ years’ experience in data analytics, ideally in consumer apps or online platforms.

• Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI).

• Experience working with subscription, engagement, or conversion funnel data.

• Strong communicator, able to present complex findings in simple, actionable ways.

Find out more and apply via the link below.

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To Apply for this Job Click Here

Senior Analytics Specialist – Digital Agency – £45-55k – x2 days a week in London

I’m working with a fast-growing digital agency that partners with leading brands across hospitality, travel, food & drink and entertainment. They’re now looking for an experienced Senior Analytics Specialist to join their performance team.

This is a great opportunity for someone who loves diving into data, setting up robust tracking frameworks, and turning insights into clear, actionable recommendations for clients.

The role:

• Lead on analytics setup and management, including GTM containers and GA4

• Implement analytics accounts, dashboards and reporting structures

• Analyse customer behaviour and campaign performance across multiple data sources

• Communicate insights clearly to internal teams and clients

• Line manage a remote analytics specialist and collaborate across departments

The ideal candidate:

• 5+ years’ analytics experience (agency background desirable)

• Hands-on experience with GA4, GTM and related tools

• Strong analytical mindset with excellent communication skills

• Confident presenting data insights to clients and stakeholders

Benefits:

• UK-remote working, with travel to London when required

• 25 days’ holiday + wellbeing budget

• Great agency culture with socials and team events

If you’re a proactive analytics professional looking for your next step in a creative, fast-moving environment, I’d love to hear from you.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Product Manager – AI / ML Platform (Fully Remote, UK)

Salary: £100,000 + benefits
Location: Fully Remote (occasional meet-ups in London)
Type: Permanent | Individual Contributor

We’re partnering with a market-leading AI-driven search intelligence company helping global enterprise brands optimise paid search performance and gain competitive insight through large-scale data and machine learning.

As a Data Product Manager, you’ll take ownership of the company’s data platform and ML ecosystem – shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights.

The Opportunity

You’ll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data engineering and data science teams. This is a hands-on product role – ideal for someone who thrives at the intersection of data, ML, and product strategy.

Focus areas:

• Data integrity, scalability, and cost efficiency

• Managing complex data workflows and ML pipelines

• Ensuring model quality and performance

• Partnering cross-functionally across engineering, science, and product

Tech Stack: Spark, Cassandra, Redshift
AI / ML Use Cases: Predictive click models, data quality optimization, GenAI search applications

What You’ll Bring

• 5-10 years’ experience overall, with 3+ years in data engineering or data science

• Proven experience managing large-scale data platforms or pipelines

• Strong understanding of ML workflows and data architecture

• Product mindset – comfortable owning discovery, roadmaps, and delivery

• Excellent communicator – able to present technical concepts clearly to non-technical audiences

• Experience in SaaS, digital, or tech product environments

(Please note: This role is not suited to project managers or senior people managers – it’s a highly collaborative IC role.)

Why Apply?

You’ll join a collaborative, data-focused product team that values ownership, transparency, and smart execution. You’ll have a genuine opportunity to influence the evolution of an AI platform used by leading brands worldwide.

Next Steps:
If you’re a technically credible Product Manager passionate about data and ML – and ready to own a data platform roadmap in a high-impact environment – we’d love to hear from you.

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Analyst (Digital & Marketing Focus)

London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits

The Company

Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.

With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.

The Role

They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.

You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.

Responsibilities

• Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).

• Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).

• Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.

• Present insights and recommendations confidently to clients via Zoom and face-to-face.

• Support client strategy by identifying opportunities to optimise spend and improve ROI.

Candidate Profile

• 2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).

• Strong SQL and Python skills, with a good grounding in statistics.

• Experience with Google Analytics or Adobe Analytics.

• Hands-on dashboarding experience (Looker Studio, Tableau or similar).

• Comfortable working directly with clients and explaining insights to non-technical stakeholders.

• 2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).

Package & Benefits

• Salary up to £50,000 (depending on experience).

• Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).

• 25 days holiday, state pension, profit share scheme.

• Direct exposure to senior leadership, with clear progression opportunities.

Interview Process

1. Introductory interview with senior team members.

2. Technical assessment (SQL + GA data integration & dashboard creation).

3. Final stage with leadership and chance to meet the wider team.

Find out more and apply via the link below.

To Apply for this Job Click Here

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Senior Customer Analyst – CDM
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst to join a leading global online marketplace. This role focuses on understanding, optimising, and growing the customer base through data-driven insights, particularly around loyalty, retention, and acquisition.

What You’ll Do:

• Analyse customer behaviour across the lifecycle using SQL and modern analytics tools.

• Deliver actionable insights through dashboards and storytelling (Tableau/Looker).

• Run and evaluate A/B and multivariate tests to inform marketing and growth strategies.

• Support growth targets by identifying opportunities to move customers through lifecycle stages.

• Collaborate with marketing and senior stakeholders to influence customer strategy.

What We’re Looking For:

• Advanced SQL and experience with a dashboarding tool.

• Proven experience with customer analytics projects: single customer view, segmentation, churn, acquisition, LTV.

• Desirable: Python for stats analysis, experience designing and running A/B tests.

• Experience in e-commerce or tech environments with modern data stacks is a plus.

Find out more and apply via the link below.

To Apply for this Job Click Here