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Senior Data Analyst
London (Hybrid) | Up to £75,000 + Benefits

Looking for an opportunity to shape subscription growth and customer retention through data? This is a chance to join a fast-growing digital business where your insights will directly influence product strategy, audience engagement, and commercial performance. You’ll work with large-scale user data, build predictive models, and help drive critical decisions across the organisation.

The Company
They are a technology-led digital business with a large global audience and a strong focus on innovation, data, and customer experience. Operating at scale, they use data to inform product development, subscription growth, and engagement strategies. Their collaborative environment brings together teams across analytics, product, marketing, and engineering to solve complex challenges and deliver measurable impact.

The Role

• Analyse the end-to-end subscription funnel to identify conversion opportunities and areas for optimisation.
• Deliver insight into customer behaviour, retention trends, and subscriber engagement.
• Develop and enhance Lifetime Value (LTV) and churn prediction models.
• Build dashboards and reporting solutions that monitor key subscription and business metrics.
• Partner with Product, Marketing, and Engineering teams to improve data collection and measurement frameworks.
• Conduct deep-dive analysis to support growth initiatives and strategic decision-making.
• Present actionable recommendations to both technical and non-technical stakeholders.
• Support experimentation and measurement strategies to evaluate business performance.

Your Skills & Experience

• Strong commercial experience in data analysis, customer analytics, lifecycle analytics, or subscription analytics.
• Advanced SQL skills with experience working in cloud-based data environments.
• Experience building analytical datasets, data models, or data pipelines.
• Strong understanding of retention analysis, cohort analysis, experimentation, and predictive modelling.
• Experience with BI and data visualisation tools such as Looker Studio, Power BI, or similar.
• Ability to communicate complex findings clearly and influence business stakeholders.
• Experience working cross-functionally within product, marketing, or growth-focused teams.
• Exposure to Python or R for advanced analytics is beneficial.
• Experience within subscription, membership, media, digital product, or customer-focused environments is advantageous.

How to Apply
If you’re a commercially minded Senior Data Analyst with a passion for customer analytics, retention, and subscription growth, apply today to learn more about this opportunity.

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Senior Analyst – Sports Media Rights | London | £40k-£50k

We’re working with a leading global sports intelligence and analytics business that is growing its Media Rights team and looking to hire a Senior Analyst in London.

This is a great opportunity for someone with 2-4 years’ experience and a strong understanding of sports media rights, broadcasting and the wider sports media landscape.

The role will involve:

• Tracking and analysing the global sports media rights market
• Researching and maintaining a database of rights deals
• Analysing deal structures and commercial trends
• Using proprietary models to value sports media rights
• Working with data to identify trends and generate insights
• Producing reports and client-ready analysis
• Supporting dashboards and data-driven products
• Responding to bespoke client questions and research requests

We’re particularly interested in candidates with experience from sports rights holders, broadcasters, sports agencies, media businesses or sports/media consultancies.

You’ll need strong Excel, data analysis and modelling skills, as well as the ability to understand the commercial logic behind rights valuations and challenge whether outputs and assumptions make sense.

Sports media rights / TV broadcasting knowledge is essential – this could come from experience working directly with rights, broadcasting, media deals, sports commercial strategy or related areas.

Salary: £40k-£50k
Location: London

If you have a background in sports media rights, broadcasting or sports commercial analysis and are open to a new opportunity, please get in touch for more information.

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Customer Analytics Consultant (Selections) – 12 Month FTC
Up to £50,000 + 17.5% Bonus | Warwickshire | 2 days per month in office

We’re working with a leading financial services business looking for a Customer Analytics Consultant – Selections to join their customer analytics team on a 12-month FTC.

You’ll use SQL and customer data to build campaign selections, evaluate performance and provide insights to improve customer targeting and campaign ROI.

Key skills:

• Strong SQL – essential
• Customer selections, campaign analytics and customer data experience
• Experience working across multiple datasets
• Power BI or other data visualisation experience
• Strong stakeholder management and communication skills
• Ability to translate data into clear business insights
• Regulated industry experience desirable

The role offers:

• £45k-£50k salary
• 17.5% bonus
• 12-month FTC
• 2 days per month in the Warwickshire office
• Exposure to wider customer analytics and data initiatives

Interview process: 1-stage interview following a SQL test.

Interested? Apply now or get in touch for more information.

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Data Analyst – Digital Commerce
Up to £40,000 | Hybrid – London (3 days per week)

We’re partnered with a leading international business looking for a Data Analyst to join their Digital Commerce team.

You’ll analyse e-commerce and customer data across 74 markets, using insights to improve the digital customer journey, performance marketing and commercial performance.

Key skills:

• Strong SQL
• Adobe Analytics or Google Analytics
• Power BI preferred
• 2+ years’ analytics experience (flexible)
• Retail/e-commerce or strong customer journey experience
• Strong stakeholder communication and data storytelling skills

You’ll work across digital analytics, customer journeys, A/B testing, marketing attribution and dashboarding, with exposure to Databricks and Power BI.

Interested? Find out more and apply via the link below!

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Data Analytics Engineer

Location: 100% Remote (U.S.)

Employment Type: Full-Time

Compensation: $110-125k base

A global organization undergoing a major data transformation is hiring multiple Data Analytics Engineers to help build and scale a modern, best-in-class analytics platform.

This role sits at the intersection of data engineering, analytics engineering, BI, and software development. You’ll help build data products that turn complex datasets into scalable reporting, embedded analytics, visualizations, and self-service capabilities used by both internal stakeholders and external customers.

This is a great opportunity for someone who enjoys owning analytics solutions end-to-end – from the underlying data and semantic layer through to the applications and visualizations users interact with.

What You’ll Do:

• Build and enhance scalable analytics products, reporting solutions, dashboards, and embedded analytics applications.
• Develop semantic models across complex datasets with a focus on scalability, performance, and maintainability.
• Work across the full data lifecycle, including data pipelines, warehouse architecture, modeling, reporting, and analytics enablement.
• Partner closely with engineering, IT, analytics, and business stakeholders to translate requirements into technical solutions.
• Develop visualizations and self-service analytics capabilities that make data more accessible and actionable.
• Work with raw and transformed data across multiple sources and data marts.
• Identify opportunities to improve query, system, and analytics-product performance.
• Support data governance, quality, and compliance initiatives across analytics products.
• Contribute to the development of custom data products that integrate analytics and BI platforms with broader applications.

Must Have:

• 5+ years experience in analytics engineering, data engineering, BI engineering, or a similar role.
• Advanced SQL and experience working with relational databases and other modern data stores.
• Programming experience with Python, R, Scala, or a similar language.
• Strong experience with modern BI/analytics platforms such as Looker, Tableau, or Power BI.
• Experience developing semantic/data models for scalable analytics and reporting.
• Understanding of the full data lifecycle, including pipelines, data warehouses, modeling, reporting, and analytics.
• Experience working with cloud platforms such as AWS, Azure, or GCP.
• Exposure to modern cloud data platforms such as Snowflake, Databricks, or Azure Data Lake.
• Experience with Git and modern software development practices.
• Strong communication skills and the ability to work cross-functionally with technical and business stakeholders.

Nice to Have

• Snowflake experience.
• Looker and LookML modeling experience.
• Experience building embedded analytics applications or bespoke data products from the ground up.
• Front-end development experience with React, Vue.js, or similar frameworks.
• Familiarity with middle- and back-end software development.
• Experience implementing analytics governance and compliance frameworks.
• Experience with query optimization and system performance tuning.

Why Join?

• Join a major data transformation and help shape a modern analytics ecosystem.
• Build products from the ground up rather than simply maintaining legacy reporting.
• Work across analytics engineering, data engineering, BI, and software development.
• Create analytics products with direct visibility and impact across the organization and its customers.
• 100% remote opportunity.
• Comprehensive benefits including medical, dental, vision, retirement programs, wellness resources, and additional employee benefits.

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Customer Selections and Analytics Consultant

Stratford-upon-Avon | £45,000 – £50,000

An exciting opportunity for a data and analytics professional to use customer data to improve campaign targeting and performance. You will combine strong SQL skills with data visualisation and commercial insight to support data-driven marketing decisions.

The Company
They are an established organisation with a strong focus on using customer data to improve decision-making. Their analytics function works closely with stakeholders to understand campaign performance and optimise customer targeting. You will join a collaborative environment where your insights can directly influence marketing activity and customer communications.

The Role

• Develop customer selections for marketing, research and service communications.
• Use SQL to extract and analyse customer data for campaign targeting.
• Build and enhance self-service dashboards to evaluate campaign performance and ROI.
• Deliver actionable insights from test and learn activity.
• Work with stakeholders to translate business requirements into analytical solutions.
• Develop quality assurance processes to ensure accurate and compliant outputs.
• Present complex analysis clearly to technical and non-technical stakeholders.

Your Skills & Experience

• Strong commercial SQL experience.
• Experience with data visualisation, ideally Power BI or a similar platform.
• Experience delivering customer, campaign or marketing analytics.
• Strong stakeholder management and communication skills.
• Ability to translate data into insights that support strategic decisions.
• Experience within a compliance-led environment would be beneficial.
• Degree-level education or equivalent.

What They Offer

• Competitive salary.
• Opportunity to work across customer selections, campaign analytics and data visualisation.
• Exposure to a broad range of stakeholders and commercially focused projects.
• Scope to develop your technical and consultative analytics capabilities.

How to Apply
Apply via LinkedIn or contact me directly!

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Data Analyst, Digital Commerce
Up to £40,000
Hybrid – London (x3 days a week)

The Team

• Sits within the Business Planning and Analytics, Digital Commerce Team
• Work across EMEA and 74 different markets
• Supporting delivering insights, reporting and advanced analytics to drive business decision and support optimizing the digital customer journey, customer services, and performance marketing
• Look at everything from when a customer lands on the website to the end of the process
• Big emphasis from the team on data storytelling – not just churning out reports, self-serve analytics
• Have self-serve reporting suite – more ad-hoc analysis

Role and Responsibilities

• Analyse digital and e-commerce data across EMEA markets.
• Use SQL, Adobe Analytics and web analytics to understand customer behaviour.
• Analyse customer journeys and on-site activity to identify opportunities.
• Support performance marketing and attribution analysis.
• Build and maintain dashboards and reporting across the Digital team.
• Translate data into clear insights and recommendations for stakeholders.
• Partner with the Customer Journey team on A/B testing and experimentation.
• Support web analytics QA, including tagging and tracking validation.
• Bring together data from different sources, including marketing, customer and inventory data.
• Help develop the reporting environment as the team moves towards Databricks and Power BI.

Profile

• Need strong SQL and Google Analytics or Adobe Analytics
• Power BI ideally
• Retail background – or need to be from an environment really strong with customer journeys and think about how a customer behaves
• Ideally 2+ years of experience

Interview Process

• 1^st stage – Competency and Behavioral Interview
• 2^nd stage – In-person task interview
• 3^rd stage – Potential Sign-off chat

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The Opportunity

We’re looking for an entrepreneurial Technical Product Manager to help shape and scale the next generation of AI-powered technology platforms across the firm. This is not a traditional product management role centered around maintaining roadmaps, coordinating large teams, or managing extensive stakeholder processes. Instead, you’ll identify high-value opportunities, formulate hypotheses, work closely with engineers and business leaders, and drive solutions from concept through execution.

You’ll join a lean team currently consisting of Principal and Senior Engineers and work at the intersection of product, data, AI, and business operations. The ideal candidate thrives in ambiguity, enjoys solving difficult problems, and can balance business needs with technical realities.

This role is especially attractive for product leaders who have demonstrated an ability to operate in startup environments, build from scratch, and create meaningful outcomes without significant organizational support.

What You’ll Do

Drive High-Impact Product Initiatives

• Identify and prioritize opportunities across the firm’s AI and technology ecosystem.
• Develop hypothesis-driven approaches to solving complex operational and business challenges.
• Translate business needs into technically viable product solutions.
• Partner closely with engineering leaders to evaluate feasibility and execution paths.

Build AI Platform Capabilities

• Help evolve existing AI prototypes and successful proof-of-concept projects into scalable platforms.
• Lead initiatives focused on AI enablement, agentic workflows, and enterprise productivity.
• Define and measure business impact, adoption, and value realization.
• Drive the maturation of internally developed solutions from experimentation into production-grade offerings.

Operate Across Business and Technology

• Work closely with investment professionals, operating teams, engineers, and business stakeholders.
• Serve as a bridge between technical teams and business decision makers.
• Evaluate how emerging technologies can create leverage across the firm’s platform and portfolio.

Deliver Through Influence

• Operate effectively in a lean environment where outcomes matter more than organizational structure.
• Navigate ambiguity and independently drive initiatives forward.
• Build alignment without relying on formal authority or large teams.

Example Projects

Recent and upcoming initiatives include:

• Scaling a data substrate designed to support an emerging agentic AI ecosystem.
• Consolidating successful AI use cases and prototypes into a unified enablement platform.
• Defining frameworks to measure AI adoption, business impact, and operational value creation.
• Identifying opportunities to modernize workflows and decision-making processes across a private equity environment.

What We’re Looking For

Required Qualifications

• Experience in Product Management, Technical Product Management, Founder/Product Leader roles, or similar positions with significant ownership and execution responsibility.
• Strong understanding of data platforms, data architecture, and how data moves through complex systems.
• Ability to work effectively with engineers and understand technical tradeoffs.
• Familiarity with software development concepts and at least one programming language.
• Demonstrated ability to solve complex business problems in ambiguous environments.
• Entrepreneurial mindset with a history of building, launching, or driving impactful initiatives.
• Strong analytical and hypothesis-driven problem-solving approach.
• Exceptional communication skills and ability to work across diverse stakeholder groups.

Preferred Qualifications

• Experience building, deploying, or scaling AI-enabled products.
• Exposure to generative AI, agentic systems, machine learning, or modern data platforms.
• Startup founder or early-stage startup experience.
• Experience within private equity, venture capital, investment management, management consulting, or technology organizations serving investment firms.
• Understanding of how technology can drive value creation across portfolio companies and investment organizations.

Who Will Thrive Here

You may be a fit if you:

• Have started a company or helped build one from the ground up.
• Are known for stepping into difficult situations and solving important problems.
• Enjoy operating with autonomy and ownership.
• Prefer building solutions over building large organizations.
• Can move comfortably between technical discussions and business conversations.
• Are energized by urgency and high-impact work.
• Want to help define how AI transforms a modern private equity platform.

You may not enjoy this role if you:

• Require highly structured requirements and extensive direction.
• Prefer managing large teams instead of personally driving outcomes.
• Focus primarily on roadmap management rather than problem-solving.

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Director or VP of Product, AI Platform

• Location: Fully remote within the United States with occasional travel to SF.
• Client: Confidential – Private Equity Firm

Overview

Our client is reimagining how a leading private equity firm operates in an AI-native era.

A small, high-caliber engineering team has begun building the firm’s core AI platform. The Director / VP of Product will define what that platform is for: where AI can create disproportionate leverage, which problems are worth solving, and how the firm’s distinct judgment, workflows, and operating model should shape what gets built.

This is a senior, hands-on product leadership role for someone who thrives in ambiguity and creates things that do not yet exist. You will work closely with investment professionals, operating teams, functional leaders, and engineers to turn complex, often competing needs into a clear and evidence-based product direction.

The mandate is enablement, not centralization. This role will help remove friction and increase capability across the firm without creating an AI gatekeeping function. You will not run the engineering team’s process or simply convert requests into tickets. You will own the platform’s value thesis, prioritization logic, and evolving product direction.

Responsibilities

• Develop and maintain a living, ranked set of AI product hypotheses, including expected value, user needs, assumptions, supporting evidence, risks, and the criteria that would validate or disprove each bet.
• Identify where AI can create outsized leverage across investment, deal, portfolio, operating, and internal business workflows, with a focus on differentiated and reusable capabilities rather than incremental point solutions.
• Partner directly with senior stakeholders across the firm to understand how work is actually done, where friction exists, and where technology can materially improve decision-making, speed, quality, consistency, or scale.
• Prototype and pressure-test concepts using modern AI-native tools, such as Claude, Claude Code, Claude Cowork, Claude Design, or equivalent tools, before asking engineering to commit resources.
• Use prototypes, workflow analysis, user feedback, and direct observation to test assumptions quickly, advance strong opportunities, and kill weak or disproven ideas rather than allowing them to accumulate in a backlog.
• Partner closely with a small, high-leverage engineering team to provide product context, shape outcomes, evaluate tradeoffs, and determine when to push on a solution versus when to let engineering lead implementation.
• Challenge generic or off-the-shelf AI solutions when they do not fit the firm’s actual workflows, decision-making patterns, or differentiated judgment.

Requirements

• Significant product leadership experience at the Director, VP, Head of Product, or comparable level in Private Equity or adjacent industries.
• Demonstrated success building products, platforms, internal tools, workflow systems, or new capabilities in ambiguous, early-stage, or otherwise undefined environments.
• Strong product judgment grounded in user behavior, workflow design, adoption, and business value rather than feature volume, delivery process, or system design alone.
• Experience working with senior stakeholders in complex, high-expectation environments with competing priorities and limited tolerance for unnecessary process.
• Ability to identify the underlying need behind a stakeholder request, challenge assumptions constructively, and translate broad needs into a stronger product direction.
• Technical fluency sufficient to collaborate credibly with engineers, evaluate practical tradeoffs, understand modern AI capabilities and limitations, and prototype ideas independently.
• Hands-on familiarity with generative AI tools and AI-assisted prototyping or development workflows, such as Claude, ChatGPT, Cursor, Claude Code, Replit, Figma AI, or similar tools.
• Strong communication, facilitation, and relationship management skills, including the ability to build trust with senior leaders, hold productive conversations amid disagreement, and drive alignment without relying on hierarchy.
• Comfortable operating without a complete specification, formal roadmap, established product organization, or clearly defined playbook.
• A low-ego, high-ownership mindset with the ability to move between strategic direction and hands-on experimentation.

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Data Engineer

Hybrid | Miami, FL or Austin, TX – need to be local – relocation not offered
U.S. Citizens & Green Card Holders Only
Build the Future of Data at a Growing Company

Looking to take the next big step in your data engineering career?

We’re partnering with a rapidly growing organization that is investing heavily in its modern data platform and analytics capabilities. This is an opportunity for a Data Engineer with strong SQL, Python, and dbt skills to join a team that’s building a scalable cloud-based data environment from the ground up.

You’ll work alongside experienced data professionals and implementation partners to develop pipelines, transform data, and help create the foundation that powers reporting, analytics, and future AI initiatives across the business.

This role is perfect for someone who enjoys solving data problems, learning modern technologies, and making a visible impact on a growing organization.

What You’ll Do

• Build and maintain data pipelines using SQL, Python, and modern ELT practices
• Develop and optimize dbt models that support analytics and business reporting
• Integrate data from multiple business systems into a centralized cloud data warehouse
• Improve data quality, reliability, and accessibility across the organization
• Partner closely with analytics and business teams to deliver trusted datasets
• Support the implementation of a new Snowflake environment and modern data platform
• Contribute to data governance, documentation, and best practices as the platform grows

Technologies You’ll Work With

• SQL
• Python
• dbt
• Snowflake
• Fivetran
• Domo
• Modern Cloud Data Warehousing
• ELT / Data Transformation

What We’re Looking For

• Approximately 3+ years of experience in Data Engineering, Analytics Engineering, or a related field
• Strong SQL skills with experience working with large datasets
• Hands-on Python experience for data processing and automation
• Experience building and maintaining dbt models
• Exposure to data warehousing concepts and cloud-based data platforms
• Understanding of ETL/ELT processes and data transformation best practices
• Strong problem-solving skills and desire to learn in a fast-paced environment
• Excellent communication skills and ability to collaborate across technical and business teams

Nice to Have

• Snowflake experience
• Fivetran experience
• Experience supporting BI or analytics teams
• Exposure to data governance or data quality initiatives
• Experience working in a cloud data environment

Why Join?

• Work on a modern data stack centered around SQL, Python, dbt, and Snowflake
• Be part of a major data transformation initiative from the beginning
• Gain exposure to enterprise-scale data engineering projects
• Work directly with experienced leaders and consultants who can accelerate your growth
• High visibility and real ownership of impactful projects

Clear opportunities for career advancement as the data team expands

Logistics

Miami, FL or Austin, TX – local candidates only

Up to $165,000 Base Salary

U.S. Citizen or Green Card Holder required

Target Start: October 2026

Ideal Candidate

A Data Engineer with around 3 years of experience who is confident with SQL, Python, and dbt, eager to grow in a modern cloud environment, and excited by the opportunity to help build something from the ground up rather than maintain legacy systems.

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