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Senior Data Analyst

£80,000 – £90,000

Remote (UK-Based Only)

As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment.

THE COMPANY

They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience.

THE ROLE

As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights.

Specifically, you can expect to be involved in the following:

• Analysing customer behaviour, retention, churn, and lifecycle performance.
• Partnering with Product, Growth, CRM, Commercial, and Trading team.
• Translating ambiguous business challenges into structured analytical approaches.
• Building dashboards, reports, and decision-support tools.
• Supporting CRM and customer engagement strategies with data-driven insights.
• Identifying trends, risks, and commercial opportunities through analysis.
• Communicating insights clearly to both technical and non-technical audiences.

SKILLS AND EXPERIENCE

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

• Strong SQL and core analytical capability.
• Experience across customer, commercial, CRM, or product analytics.
• Proven ability to analyse customer behaviour, retention, or lifecycle metrics.
• Strong stakeholder management and communication skills.
• Strong BI and reporting experience.
• Comfortable working in fast-paced and ambiguous environments.
• Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous.

BENEFITS

The successful Senior Data Analyst will receive the following benefits:

• Salary between £80,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst

£80,000 – £90,000

Remote (UK-Based Only)

As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment.

THE COMPANY

They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience.

THE ROLE

As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights.

Specifically, you can expect to be involved in the following:

• Analysing customer behaviour, retention, churn, and lifecycle performance.
• Partnering with Product, Growth, CRM, Commercial, and Trading team.
• Translating ambiguous business challenges into structured analytical approaches.
• Building dashboards, reports, and decision-support tools.
• Supporting CRM and customer engagement strategies with data-driven insights.
• Identifying trends, risks, and commercial opportunities through analysis.
• Communicating insights clearly to both technical and non-technical audiences.

SKILLS AND EXPERIENCE

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

• Strong SQL and core analytical capability.
• Experience across customer, commercial, CRM, or product analytics.
• Proven ability to analyse customer behaviour, retention, or lifecycle metrics.
• Strong stakeholder management and communication skills.
• Strong BI and reporting experience.
• Comfortable working in fast-paced and ambiguous environments.
• Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous.

BENEFITS

The successful Senior Data Analyst will receive the following benefits:

• Salary between £80,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst

£80,000 – £90,000

Remote (UK-Based Only)

As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment.

THE COMPANY

They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience.

THE ROLE

As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights.

Specifically, you can expect to be involved in the following:

• Analysing customer behaviour, retention, churn, and lifecycle performance.
• Partnering with Product, Growth, CRM, Commercial, and Trading team.
• Translating ambiguous business challenges into structured analytical approaches.
• Building dashboards, reports, and decision-support tools.
• Supporting CRM and customer engagement strategies with data-driven insights.
• Identifying trends, risks, and commercial opportunities through analysis.
• Communicating insights clearly to both technical and non-technical audiences.

SKILLS AND EXPERIENCE

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

• Strong SQL and core analytical capability.
• Experience across customer, commercial, CRM, or product analytics.
• Proven ability to analyse customer behaviour, retention, or lifecycle metrics.
• Strong stakeholder management and communication skills.
• Strong BI and reporting experience.
• Comfortable working in fast-paced and ambiguous environments.
• Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous.

BENEFITS

The successful Senior Data Analyst will receive the following benefits:

• Salary between £80,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Data Analyst

£80,000 – £90,000

Remote (UK-Based Only)

As a Senior Data Analyst, you will have genuine influence across multiple teams, shaping how data is used to drive customer growth, retention, and product performance in a highly collaborative environment.

THE COMPANY

They are a high‑growth online gambling and sports betting platform backed by significant recent investment and focused on delivering an intuitive, mobile‑first user experience.

THE ROLE

As a Senior Data Analyst, you will partner with stakeholders across the organisation to turn complex questions into actionable insights.

Specifically, you can expect to be involved in the following:

• Analysing customer behaviour, retention, churn, and lifecycle performance.
• Partnering with Product, Growth, CRM, Commercial, and Trading team.
• Translating ambiguous business challenges into structured analytical approaches.
• Building dashboards, reports, and decision-support tools.
• Supporting CRM and customer engagement strategies with data-driven insights.
• Identifying trends, risks, and commercial opportunities through analysis.
• Communicating insights clearly to both technical and non-technical audiences.

SKILLS AND EXPERIENCE

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

• Strong SQL and core analytical capability.
• Experience across customer, commercial, CRM, or product analytics.
• Proven ability to analyse customer behaviour, retention, or lifecycle metrics.
• Strong stakeholder management and communication skills.
• Strong BI and reporting experience.
• Comfortable working in fast-paced and ambiguous environments.
• Familiarity with modern data tools such as Snowflake, dbt, or similar platforms is advantageous.

BENEFITS

The successful Senior Data Analyst will receive the following benefits:

• Salary between £80,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

This leader will develop the overarching lifecycle strategy, build scalable retention systems, and lead cross-functional execution to improve both short-term revenue performance and long-term customer value. The ideal candidate brings deep experience owning lifecycle revenue and retention metrics, not simply campaign execution. They are analytical, highly strategic, and able to translate customer behavior into scalable programs that drive measurable business impact.

Responsibilities

Own Lifecycle Revenue and Retention Performance

• Lead lifecycle marketing as a core revenue channel with accountability for retention, repeat purchase rate, customer lifetime value (LTV), contribution margin, and subscriber revenue performance
• Develop strategies that maximize long-term customer value while supporting near-term business goals

Develop and Execute Lifecycle Strategy

• Create and lead a comprehensive lifecycle marketing strategy spanning onboarding, retention, engagement, and reactivation
• Align lifecycle initiatives with broader company revenue and profitability objectives

Optimize the Customer Journey

• Own and improve the end-to-end customer experience from first purchase through repeat purchases and subscription engagement
• Improve key metrics including product adoption, time to second purchase, retention, and overall customer engagement

Lead Subscription Growth Initiatives

• Drive subscription growth through improvements in conversion, post-purchase upsell, retention programs, and ongoing engagement strategies
• Optimize subscription economics including attach rate, churn reduction, and subscriber LTV

Manage Revenue Optimization Programs

• Partner cross-functionally to optimize pricing communication, promotional strategy, bundling, upsell/cross-sell initiatives, and incentive structures
• Balance conversion performance with profitability and brand positioning

Oversee Lifecycle Campaigns and Automation

• Own lifecycle campaign planning and execution across key customer touchpoints including welcome, cart abandonment, replenishment, post-purchase, and win-back programs
• Ensure lifecycle marketing supports major launches, promotional periods, and company initiatives

Drive Testing and Performance Optimization

• Build and manage a robust experimentation roadmap across lifecycle channels
• Continuously improve conversion, average order value (AOV), engagement, and revenue performance through testing and analysis

Own Lifecycle Platforms and Operations

• Manage lifecycle marketing platforms and tooling, ensuring strong execution across segmentation, automation, deliverability, reporting, and compliance
• Establish scalable operational processes and reporting frameworks

Lead Team and Cross-Functional Collaboration

• Build, mentor, and manage a high-performing lifecycle marketing team
• Partner closely with Growth, eCommerce, Product, Customer Experience, and Creative teams to ensure lifecycle initiatives are integrated into broader go-to-market efforts

Qualifications

• 8+ years of experience in lifecycle marketing, CRM, retention marketing, or related disciplines
• Proven experience owning lifecycle revenue, retention, or LTV metrics
• Experience within direct-to-consumer (DTC) or consumer-focused brands
• Strong background supporting subscription or repeat-purchase business models
• Experience building lifecycle programs and retention strategies from the ground up
• Hands-on experience with lifecycle marketing and automation platforms such as Klaviyo, Attentive, or similar tools
• Experience leveraging direct mail within performance marketing programs is a plus
• Strong leadership, communication, and cross-functional collaboration skills
• Highly analytical with a deep understanding of customer behavior and retention drivers
• Systems-oriented thinker who can connect lifecycle strategy with product, customer experience, pricing, and broader business objectives

To Apply for this Job Click Here

To Apply for this Job Click Here

DATA ENGINEERING MANAGER
£120,000
LONDON

This is a unique opportunity to sit at the centre of a value creation function, shaping data platforms and AI capability across multiple businesses. You’ll combine hands-on engineering with strategic influence, working closely with senior leaders to drive real commercial impact.

THE COMPANY

Our client is a highly successful investment firm focused on the lower mid-market. They are known for strong fund performance and a long-term, hands-on approach to supporting their portfolio companies. Data, technology and AI are core to how they drive value, and this role has been created as part of continued investment in that capability.
You’ll be joining a growing value creation team that works directly with leadership teams across the portfolio, helping businesses modernise their data foundations and make better decisions.

THE ROLE

• Design, build and scale modern data platforms across portfolio companies
• Establish robust data engineering foundations to enable analytics and AI use cases
• Act as a technical and commercial advisor to senior stakeholders
• Support AI enablement, ensuring platforms are fit for future innovation
• Balance architecture, strategy and hands-on delivery across varied environments

This role offers rare exposure to multiple businesses at different stages of data maturity, with the opportunity to shape both strategy and execution.

YOUR SKILLS AND EXPERIENCE

• Strong background in data engineering with hands-on delivery experience
• Advanced SQL and Python skills
• Experience building end-to-end data platforms and scalable architectures
• Ability to communicate technical concepts clearly to non-technical stakeholders
• Commercially minded with experience prioritising work based on business impact
• Consulting, transformation or PE-backed experience is advantageous

SALARY AND BENEFITS

• £100,000 – £120,000 base salary
• Large discretionary bonus
• Pension scheme
• Hybrid working model
• Modern London office

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

To Apply for this Job Click Here

To Apply for this Job Click Here

Customer Selections & Analytics Consultant

£45,000 to £50,000

Stratford-upon-Avon (1 day per week on-site)

This is an excellent opportunity to join a well-established organisation investing in its customer data and campaign capabilities. You will play a key role in delivering data-driven marketing activity while gaining exposure to modern data platforms, customer analytics, and advanced campaign optimisation.

THE COMPANY

They are a highly regarded UK-based organisation operating across insurance and financial services, with a strong reputation for customer-centricity and long-term value.

THE ROLE

As a Customer Selections & Analytics Consultant you will sit within a specialist Customer Selections and Analytics team, working alongside SQL specialists and analytics professionals to deliver high-quality campaign selections and insights.

Specifically, you can expect to be involved in the following:

• Translating campaign briefs into structured technical requirements.
• Building and executing customer selections using SQL.
• Joining and manipulating large datasets across CRM, transactional and behavioural data.
• Supporting campaign deployment via API integrations with CRM platforms.
• Partnering with analytics teams to support test-and-learn initiatives and performance measurement.
• Planning and delivering selections aligned to campaign timelines and business priorities.
• Communicating insights clearly to stakeholders to support data-driven decisions.

SKILLS AND EXPERIENCE

The successful Customer Selections & Analytics Consultant will have the following skills and experience:

• Strong SQL skills and experience working with complex datasets.
• Background in campaign selections, CRM data or customer analytics.
• Ability to translate business requirements into technical outputs.
• Exposure to data visualisation tools such as Power BI or similar is beneficial.

BENEFITS

The successful Customer Selections & Analytics Consultant will receive the following benefits:

• Salary between £45,000 – £50,000 – depending on experience
• A 17.5% bonus and other benefits

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Full Stack Software Engineer (AI and Analytics Platform)
New York – 4 Days Per Week in Office
Up to $225,000 + 20% Bonus

This is an opportunity to join a small, high-impact innovation team building a production-grade analytics product from scratch. You will work directly with senior stakeholders, shaping both the technical direction and the product itself, with real ownership from day one.

The Company
They are a large, asset-backed organisation investing heavily in innovation and technology to transform how data is used across investment and asset management functions. Within this, they have built a startup-style team focused on developing predictive analytics tools that directly influence buying, selling, and operational decisions. The team is intentionally lean, fast-moving, and highly product-driven.

The Role
You will operate as a full stack engineer within a small, cross-functional team, working closely with product and leadership to build and scale a new analytics platform.

• Build and deploy full stack applications that surface predictive analytics and ML insights
• Work directly with stakeholders to translate business requirements into production-ready features
• Develop backend services using Python and Node.js, alongside modern frontend frameworks such as React
• Contribute to AI and ML-driven functionality, including LLM-powered workflows
• Make architectural decisions and shape the platform as it scales
• Deliver high-quality, production-ready code in a fast-moving environment
• Collaborate closely with product and design in a highly iterative, feedback-driven process

Your Skills & Experience

• Strong commercial experience as a full stack engineer in product-focused environments
• Proficiency in Python for backend development; Node.js is beneficial
• Experience with React or similar modern frontend frameworks such as Angular or Vue
• Exposure to cloud platforms such as Azure, AWS, or GCP
• Experience building and deploying production-grade applications end to end
• Understanding of ML or AI concepts and how they integrate into applications
• Strong product mindset and ability to work closely with non-technical stakeholders
• Comfortable operating in small, ambiguous, high-ownership environments

What They Offer

• Opportunity to join a startup-style team within a well-funded organisation
• High level of ownership and influence over product and technical direction
• Exposure to AI, ML, and predictive analytics use cases in a commercial setting
• Collaborative, fast-paced environment with direct access to senior stakeholders
• Clear scope for progression as the team grows

How to Apply
If you are excited by the challenge of building an AI first data foundation within a scaled fintech, apply now by emailing resumes if interested or pass on if you know someone who’d be a great fit.

To Apply for this Job Click Here

To Apply for this Job Click Here

Front Office Software Engineer
New York City – 4 Days In Office

Up to $200,000 + 50% Bonus

The Company
They are a global investment manager specialising in derivatives and multi-asset strategies, operating across major financial hubs with a strong engineering and research-led culture. Their structure is highly collaborative, with technology embedded directly into investment teams.

The Role
This role sits within the front office technology team, with opportunities across both pricing and core risk systems.

• Design, build, and enhance a global pricing platform focused on performance, scalability, and reliability
• Develop real-time systems that deliver pricing, risk, and analytics to front office users
• Work directly with traders, portfolio managers, and quants to understand requirements and deliver solutions
• Contribute to systems that process market data and generate real-time valuations
• Play a key role in shaping architecture and improving system performance in a low-latency environment

Your Skills and Experience

• Strong commercial experience building production systems in Java
• Exposure to Python or C++ in a backend or quantitative environment
• Understanding of financial markets, trading, or risk systems
• Experience working with market data, pricing engines, or execution systems is beneficial
• Interest in working in a front office, fast-moving environment with direct business impact

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Scientist

London – 2x a week

The Company
They are a rapidly scaling European insurer with a strong track record of growth and significant external investment. Their operating model is highly data driven, with advanced analytics underpinning pricing and underwriting decisions. The business fosters a high performance culture and invests heavily in developing talent, particularly individuals with strong academic foundations and high potential. Their UK presence is a key strategic focus, with continued expansion of their analytics function.

The Role
You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include:

• Developing and improving pricing models to optimise competitiveness in the market
• Identifying and integrating new data sources into modelling approaches
• Building predictive models to simulate customer behaviour and risk outcomes
• Enhancing tariff structures and pricing strategies using advanced analytics
• Collaborating with cross functional teams to drive customer acquisition and growth
• Applying logical reasoning and structured thinking to complex business problems

Your Skills and Experience

• Strong academic background in Mathematics, Physics or a related quantitative discipline
• Proven ability to apply data science or statistical modelling techniques in a commercial or academic setting
• Proficiency in Python or strong capability to learn quickly
• Excellent problem solving skills, with an ability to think logically and communicate reasoning clearly
• Motivated, intellectually curious, and comfortable working in a fast paced environment
• For experienced candidates, commercial exposure to modelling in any industry is welcomed

What They Offer

• Hybrid working with a London base
• Clear progression opportunities in a scaling analytics team
• Exposure to impactful, end to end data science projects
• A high performance environment with strong investment in training and development

How to Apply
Please apply with your CV to be considered for this opportunity.

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