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Senior Insight Analyst – £55,000 + Benefits

Remote (UK-Based)
Modern BI Stack | Data Transformation | Commercial Insight

Are you a commercially minded analyst who loves turning complex data into actionable business insight?
Our client – a leading UK distributor and supplier of industrial products – is undergoing a major data transformation and is seeking a Senior Insight Analyst to help drive smarter, data-led decisions across the business.

This is a fantastic opportunity to play a key role in shaping how data supports pricing, profitability, and operational performance within a dynamic, product-heavy environment.

The Role

As Senior Insight Analyst, you’ll sit within a forward-thinking transformation team, working closely with senior stakeholders across sales, marketing, finance, and supply chain.

You’ll analyse performance across thousands of SKUs and customers, deliver pricing and margin insights, and help build the foundations of a modern, connected BI environment under Microsoft Fabric.

This role is ideal for someone who enjoys blending commercial thinking with technical analytics – not just reporting numbers, but understanding the why behind them.

What You’ll Be Doing

• Lead analytical work across pricing, rebates, and margin performance, helping identify where value is gained or lost.

• Deliver actionable insights across sales, marketing, finance, and supply chain.

• Partner with ecommerce teams to improve visibility of digital performance and customer behaviour.

• Support key data integration and transformation projects within the Microsoft Fabric environment.

• Translate large datasets into clear, commercial recommendations for senior stakeholders.

• Contribute to key strategic initiatives, including price, volume, and mix analysis and margin optimisation.

Tech Environment

Core Skills: SQL (essential), Power BI (advantageous)
Platform: Microsoft Fabric (mid-implementation)
Languages: Python (pandas/numpy – desirable, not essential)
Other: Salesforce & Google Analytics exposure beneficial

About You

• Proven experience as an Insight Analyst, ideally in wholesale, distribution, or another product-heavy industry.

• Strong knowledge of pricing, rebates, and margin analysis.

• Excellent SQL skills and analytical problem-solving capability.

• Commercially aware – able to tell stories with data and influence decisions.

• Confident communicator who can engage across multiple business areas.

• Naturally curious, proactive, and adaptable in a fast-changing environment.

Why Apply?

• Join a business at the heart of a major BI and data transformation.

• Blend commercial strategy with technical analytics.

• Work within a supportive team driving real change and visibility.

• Exposure to Microsoft’s modern Fabric BI stack.

• Flexible, fully remote working with occasional collaboration days in the Midlands.

If you’re passionate about using data to drive profitability and operational excellence – and want to make a real impact within a modern, evolving BI landscape – apply in confidence today.

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PRODUCT DATA ANALYST – LONDON

UP TO £80,000

THE COMPANY

We are working with a fast-paced membership platform on a pivotal product-centric hire.

THE ROLE

The successful Product Data Analyst responsibilities will include:

• Collect, clean, and analyse product data across web, app, and digital platforms to identify opportunities for growth and optimisation.
• Partner with product managers, designers, and engineers to define KPIs, tracking plans, and success metrics for new features and initiatives.
• Conduct A/B tests, funnel analysis, and cohort analysis to measure impact and recommend next steps.
• Build and maintain dashboards and reports to monitor product performance, customer journeys, and digital engagement.
• Liaise with different business units to drive insights and recommendations.

YOUR SKILLS AND EXPERIENCE

The successful Product Data Analyst will have the following skills and experience:

• Proven experience as a Product/Data/Digital Analyst, ideally within a web, app, or digital product environment.
• Strong proficiency in SQL for querying and manipulating large datasets.
• Experience with A/B testing frameworks and product experimentation.
• Strong data storytelling and visualisation skills using tools such as Tableau, Looker, or Power.
• Strong stakeholder engagement and influencing skills.

THE BENEFITS

The successful Product Data Analyst will receive a salary of up to £80,000, plus an array of additional benefits.

HOW TO APPLY:

Please register your interest by sending your CV to Harry Mincer via the apply link below.

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Job Title: Marketing Director – Consumer Tech / Wellness (Foundational Role)

Location: West Palm Beach, FL (Hybrid)

Salary: Up to $150,000 Basic

Company Overview & Mission
A well-funded, early-stage technology business is building an AI-enabled consumer platform focused on emotional well-being. With a fully functional beta already live across mobile and web, the company is entering an exciting phase of growth, preparing for go-to-market and international brand scaling.

Their mission is to make personal wellness more accessible, engaging, and stigma-free through cutting-edge technology and creative brand storytelling.

Role Overview
We’re looking for a Marketing Director to take full ownership of the brand, growth, and customer acquisition strategy. This is a foundational hire who will sit at the leadership table, work directly with the executive team, and act as the strategic and creative lead across all marketing functions.

You’ll manage a marketing budget (~$1M in year one), oversee agency relationships, and scale performance across key channels including paid social, influencer, content, and SEO/SEM.

Key Projects

• Define and execute the go-to-market and brand strategy
• Build a consistent brand voice and visual identity across all channels
• Manage and scale paid digital campaigns across platforms (Google, Meta, TikTok)
• Lead influencer, content, and social marketing efforts
• Evaluate and manage agency partners and outsourced resources
• Collaborate cross-functionally with product, engineering, and finance teams

Required Background

• Strong track record in leading marketing efforts for a B2C tech or digital product
• Hands-on experience with paid social, SEO/SEM, content, and performance marketing
• Able to develop brand from zero to scale, with a creative-first mindset
• Experienced in managing budgets and agency relationships
• Confident operating in fast-moving, high-ownership environments

Nice to Have

• Experience in wellness, healthtech, or AI-driven products
• Exposure to consumer psychology or emotional wellness sectors
• Familiarity with international expansion or multilingual audiences

Why Apply?

• Foundational role with ownership over all marketing decisions
• Stable funding and long-term product roadmap
• Mission-led business with real social impact potential
• Full autonomy to shape brand, growth, and creative direction
• Fast-moving environment with access to executive-level decision making

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Senior Adobe Enablement Lead

Up to £80,000

Hybrid – London

A great opportunity to join a leading web analytics consultancy as a Senior Adobe Enablement Lead

THE COMPANY

This company is looking for a Senior Enablement Lead to join their specialist Adobe team to lead on Adobe Analytics implementations for clients, with the aim of maximising client value return on data and technology.

THE ROLE

Ensure all client requirements are understood and met, defining requirements

Manage the delivery of tasks for clients including building implementation & deployment plans and managing the implementation process of Adobe Analytics

Management of client relationships

Supporting digital strategies for clients

YOUR SKILLS AND EXPERIENCE

Highly experienced in Adobe Analytics implementations

Experienced in managing client relationships

Excellent communication and time management skills

THE BENEFITS

Up to £78,000

Flexible hybrid working pattern

Opportunity to grow and develop your career

HOW TO APPLY

Please register your interest by sending your CV to Jordan Victor via the Apply link on this page.

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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.

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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.

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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.

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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.

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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

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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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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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Senior Customer Analyst – Loyalty
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 focused on loyalty and customer engagement to join a leading global online marketplace. This strategic role uses data and analytics to shape loyalty initiatives that drive retention, repeat behaviour, and long-term customer value.

What You’ll Do:

• Analyse customer behaviour across loyalty programmes to identify opportunities for engagement and retention.

• Build and manage the Single Customer View (SCV) to unify customer data and enable personalised experiences.

• Recommend improvements to loyalty propositions, including tiers, rewards, and experience enhancements.

• Partner with marketing, data, and global teams to deliver and measure loyalty initiatives.

• Use advanced analytics and storytelling to influence loyalty strategy and maximise customer lifetime value.

Example Projects:

• Redesign loyalty programmes to increase engagement and repeat purchases.

• Develop SCV integrating purchase, engagement, and loyalty data.

• Model customer value to understand the impact of loyalty participation.

• Benchmark competitor loyalty schemes and propose differentiators.

• Share insights globally to replicate successful loyalty initiatives.

Requirements:

• Advanced SQL and experience with a dashboarding tool (Tableau/Looker).

• Strong understanding of loyalty programmes, CRM strategy, and customer engagement.

• Experience in loyalty analytics in e-commerce, retail, or telco environments.

• Analytical skills to interpret data and strategic mindset to design propositions.

• Confident working cross-functionally and internationally, with excellent stakeholder management.

Desirable:

• Python for statistical analysis.

• Experience designing and running A/B tests.

Application Process:

1. SQL test on Kaggle – 2 live-coding questions, interactive.

2. Skills-based interview – 45 minutes (30 minutes questions, 15 minutes candidate questions).

3. Case study/data analysis presentation – face-to-face in the office.

Find out more and apply via the link below.

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