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Data Governance Analyst

London – 3 days a week – £50,000

Company

A leading global professional services firm is investing heavily in its data capability and is expanding its Data Governance function. Operating across multiple regions and business lines, the organisation relies on high-quality, well-governed data to support decision-making at both operational and leadership level.

You’ll be joining a central data team with strong senior sponsorship and a clear mandate to improve how data is defined, managed, and used across the firm.

Responsibilities

As a Data Governance Analyst, you’ll play a hands-on, operational role in embedding and supporting the firm’s Data Governance Framework.

Key responsibilities include:

• Working closely with Data Stewards and business stakeholders to understand data needs and usage
• Supporting the implementation, adoption, and day-to-day use of the firm’s data governance framework
• Maintaining and curating the data catalogue, including business glossaries, metadata, lineage, and reference data
• Managing and prioritising the data governance issues log, ensuring issues are tracked, resolved, and documented
• Supporting metadata ingestion and configuration within the firm’s data management / catalogue tool
• Identifying opportunities to improve data quality, consistency, and accessibility
• Producing clear documentation such as user stories, use cases, and functional requirements
• Supporting testing, training, and onboarding for data governance tools and processes
• Using Power BI and other reporting tools to support governance insights and data quality monitoring
• Working cross-functionally to ensure data processes and usage are properly governed and understood

Requirements

This role would suit someone with experience in data, business analysis, or governance-focused roles, who is looking to deepen their expertise in data governance.

Key requirements include:

• Experience in a data-focused role (e.g. Data Analyst, Business Analyst, Data Governance Analyst)
• Strong understanding of data management and governance concepts (metadata, data quality, stewardship, reference data)
• Experience working with data catalogues or governance tools (any platform)
• Comfortable working with Power BI, Excel, and ideally SQL
• Strong analytical and problem-solving skills
• Excellent communication skills, with the ability to bridge business and technical teams
• Experience writing clear documentation, user stories, or business requirements
• Ability to manage multiple priorities in a fast-paced environment
• Familiarity with Agile and/or Waterfall delivery methods beneficial

Benefits

• Opportunity to work within a globally recognised organisation with strong investment in data
• High visibility role with exposure to senior stakeholders
• Clear pathway to build a long-term career in Data Governance
• Collaborative, intellectually rigorous working environment
• Competitive salary and benefits package
• Flexible working arrangements

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HEAD OF CRM (Revenue and Systems Architect)

SALARY UP TO £130,000

LONDON – HYRBID

We’re looking for an experienced CRM & Revenue Systems Architect to own and evolve the systems that power a high-growth, B2B revenue engine. Sitting at the intersection of data infrastructure and commercial strategy, this role will be responsible for designing, scaling and governing the core CRM and GTM technology stack, while ensuring teams across Marketing, Sales and Customer Success have access to high-quality data and actionable insight. This is a hands-on, strategic role focused on building the foundations that enable efficient growth, strong analytics and operational excellence.

THE ROLE AND RESPONSBILITIES:

• Customer Success and RevOps leadership
• Design, configure and optimise CRM architecture to support scaling across Marketing, Sales and Service functions
• Lead continuous assessment and optimisation of the GTM tech stack to ensure it remains scalable, secure and fit for future growth
• Deliver the CRM roadmap in partnership with engineering and automation teams
• Establish governance frameworks including permissions, security, documentation and system standards
• Maintain system health, troubleshoot issues and provide advanced support to revenue and operations teams
• Define and uphold data quality standards across the customer lifecycle, working closely with Marketing and RevOps teams
• Support lifecycle and funnel analysis by enabling clean, reliable data and insight to inform strategic decision-making
• Collaborate on workflow automation and process improvement to increase efficiency and performance

YOUR SKILLS:

• Significant experience (typically 5+ years) in a CRM, RevOps or Revenue Systems role, with ownership of CRM administration and architecture
• Strong understanding of GTM systems and customer lifecycle design within SaaS or high-growth environments
• Excellent analytical skills with the ability to turn data into clear, actionable insight
• Proven ability to bridge technical systems and commercial objectives, working effectively with both technical and non-technical stakeholders
• Experience designing scalable CRM architectures, governance models and data quality frameworks
• Familiarity with modern CRM ecosystems and automation tools
• Comfortable operating in fast-paced, scaling environments with a proactive, problem-solving mindset
• Interest in emerging technologies such as AI within CRM and revenue operations is an advantage

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

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SENIOR RESEARCH DIRECTOR

SALARY UP TO £90,000

LONDON – HYRBID

We are seeking an experienced Senior Research Director to lead the delivery of high-impact research and insight programmes for a diverse portfolio of clients across multiple sectors. This is a senior leadership role within a fast-growing, entrepreneurial research and analytics consultancy, offering the opportunity to shape client strategy, drive business development and lead complex research engagements. The role combines deep methodological expertise with strong client partnership, strategic thinking and commercial acumen, working closely with both local and international teams.

THE ROLE AND RESPONSBILITIES:

• Lead end-to-end delivery of custom research projects, from design and methodology through to analysis and final recommendations
• Design and execute a range of qualitative methodologies including focus groups, in-depth interviews, online research and ethnographic studies
• Develop and oversee quantitative research programmes, including surveys and research clinics
• Translate complex datasets into clear, compelling insights and strategic recommendations for senior stakeholders
• Act as a senior client partner, building strong relationships and serving as the primary point of contact on key accounts
• Drive business development activity, including identifying opportunities, proposal development and pitching research solutions
• Collaborate effectively with global teams across multiple time zones to ensure seamless project delivery
• Provide leadership, mentoring and guidance to junior and mid-level team members

YOUR SKILLS:

• Extensive experience (typically 10+ years) in custom research, market analytics or insight consulting
• Strong expertise across qualitative and quantitative research methodologies
• Deep sector knowledge, ideally including experience within the automotive category alongside broader consumer or brand research
• Proven ability to deliver insight-led storytelling that influences senior decision-makers
• Excellent communication and presentation skills, with experience presenting to executive audiences
• Strong commercial mindset with experience supporting or leading business development initiatives
• Ability to manage multiple projects and stakeholders simultaneously in a fast-paced environment
• Comfortable working with global teams and adapting to different cultural and market contexts
• Experience with data visualisation tools, research automation or innovation within research workflows is an advantage

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

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PRODUCT ANALYST

SALARY UP TO £65,000

LONDON – HYBRID

We’re looking for a Product Data Scientist to join a growing Insights team within a consumer-facing, digital product environment. In this role, you’ll sit at the intersection of data, product, and experimentation – partnering closely with Product Managers, Engineers, and Machine Learning teams to deliver insights that shape product direction, user experience, and commercial outcomes.

This is a hands-on, high-impact role suited to someone who enjoys owning a product area end to end, working autonomously, and using data to influence decision-making in fast-paced, evolving environments.

THE ROLE AND RESPONSIBILITIES:

• Act as a go-to data scientist for a core product area, developing a deep understanding of user behaviour and product performance
• Provide actionable analytics and insights to support product and business decisions
• Design, monitor, and evaluate A/B tests and experiments, from hypothesis definition through to post-test analysis and recommendations
• Partner closely with product, engineering, and platform teams to ensure high-quality, scalable datasets
• Build and maintain dashboards and reporting that enable self-serve, data-driven decision making
• Translate complex analyses into clear, compelling narratives for non-technical stakeholders
• Balance user impact with commercial outcomes, helping teams understand trade-offs and opportunities

YOUR SKILLS:

• Strong SQL skills with experience querying large, complex datasets
• Basic working knowledge of Python for analysis or experimentation
• Experience with A/B testing design, execution, and interpretation
• Familiarity with ETL workflows and debugging data quality issues
• Hands-on experience with data visualisation tools (e.g. Looker, Tableau, or similar)
• Excellent communication and stakeholder management skills
• Commercial mindset with the ability to link data insights to business outcomes
• High level of ownership, organisation, and proactivity
• Comfortable working in ambiguous, fast-changing environments

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

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Data Engineer

Location: London (Hybrid – Remote First)

Salary: £75,000

Shape the future of audio analytics at a global media giant by building scalable data platforms, standardised infrastructure and cutting-edge frameworks that power smarter audience insight, stronger engagement, and high-impact digital experiences across multiple international markets.

The Opportunity

This opportunity offers the chance to join a global media organisation as it modernises and elevates its audio data capabilities. You’ll play a key role in building unified data platforms and standardised infrastructure that will be used across multiple international markets. Central to the role is creating robust pipelines and analytics layers that enable deeper audience insights and more impactful digital engagement.

Working within a small, forward-thinking engineering team, you’ll act as part of an internal consultancy driving best practice across the business. It’s a chance to influence architecture, shape frameworks from the ground up, and directly enhance everything from competitions to large-scale campaign performance.

Role and Responsibilities

In this role, you’ll build and maintain robust data pipelines using Python and SQL to ensure clean, reliable, and well-structured data. You’ll design and optimise workflows using tools such as Airflow and dbt to support scalable, high-quality analytics layers. You’ll help architect and evolve cloud-based data platforms across technologies like BigQuery, Redshift, and Terraform.

You’ll contribute to creating a standardised, self-serve data infrastructure that can be adopted across multiple international teams. You’ll also work closely with engineers and stakeholders to validate data quality, improve processes, and drive best-practice engineering across Kubernetes-based environments.

Interview Process

1. Introductory Conversation – Discussing Experience and CV
2. Technical Test
3. Culture Fit Conversation

If you’re excited by the chance to help build standardised data platforms, enhance audience analytics, and influence architecture within a global media group’s growing audio data team, apply now.

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Job Opportunity: MLOps Engineer (Full-Lifecycle) | Early-Stage Startup

Location: Remote or Hybrid (HQ in [City])

Role Type: Full-Time

Start Date: ASAP

About the Company

The company is a small, fast-moving startup building [short description of product/mission]. With a lean, collaborative team focused on delivering real value through AI, they are seeking an experienced MLOps Engineer to own and optimize their end-to-end machine learning pipeline as they scale.

The Role

As the company’s first dedicated MLOps hire, the successful candidate will be responsible for establishing and maintaining the full MLOps lifecycle-from data ingestion and experimentation to deployment, monitoring, and continuous optimization. They will work closely with ML engineers and the product team to ensure models move into production smoothly, reliably, and efficiently.

Responsibilities

• Designing, building, and maintaining scalable ML pipelines (training, validation, deployment).
• Developing CI/CD workflows for ML models and data pipelines.
• Implementing model and data versioning, lineage tracking, and reproducibility best practices.
• Managing infrastructure for training and inference (cloud, containers, orchestration).
• Building monitoring systems for data drift, model performance, and operational reliability.
• Optimizing cost, performance, and automation across the ML lifecycle.
• Collaborating with ML engineers to transition prototypes into production-ready systems.
• Promoting engineering excellence, documentation, and observability.

Qualifications

• 3+ years of industry experience in MLOps, ML Engineering, or DevOps for ML systems.
• Proven experience managing the full ML lifecycle in production environments.
• Strong experience with cloud platforms (AWS/GCP/Azure) and infrastructure-as-code tools (Terraform, CloudFormation).
• Hands-on expertise with containerization and orchestration (Docker, Kubernetes).
• Familiarity with ML pipeline tools (Kubeflow, Airflow, MLflow, Vertex AI, SageMaker, etc.).
• Strong programming skills in Python and experience with CI/CD tools (GitHub Actions, GitLab CI, etc.).
• Understanding of monitoring, tracing, alerting, and model observability tools.
• A startup mindset: autonomous, resourceful, and comfortable building systems from scratch.

What the Company Offers

• High ownership and the opportunity to shape the ML infrastructure from the ground up.
• A collaborative team culture that values creativity, speed, and experimentation.
• Competitive salary + equity package.
• Flexible work environment.
• A chance to have significant impact on a product used by real customers.

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SENIOR DATA ENGINEER

LONDON – HYBRID – £80,000 – £95,000

Company

Our client is a fast-growing, data-driven organisation building a modern analytics and ML platform. The team works across multiple data domains, enabling business partners to access reliable, high-quality datasets and drive impactful insights.

Responsibilities

As a Senior Data Engineer, you will:

• Build and maintain central data models for ML, insights, and search pipelines

• Design production-ready data pipelines delivering high-quality datasets to partner teams

• Work with Databricks, AWS, dbt, Airflow, and Looker to implement robust solutions

• Lead technically complex initiatives and contribute to the team’s roadmap

• Improve engineering efficiency through internal tooling, CI/CD, and monitoring

• Mentor junior engineers and support business teams in self-service data capabilities

• Foster a collaborative data culture and promote best practices across the organisation

Requirements

• Proven track record delivering production-ready data engineering projects end-to-end

• Strong SQL and Python skills, with experience on platforms like Databricks, Airflow, dbt, and Looker

• Experience in data modelling, data warehousing, and performance/cost optimisation

• Skilled in stakeholder management, documentation, and project planning

• Experience developing CI/CD pipelines with GitHub Actions or Jenkins

• Familiarity with Terraform and infrastructure as code best practices

• Passion for mentoring and fostering growth in less experienced engineers

Benefits

• Work with a cutting-edge analytics and ML platform

• Influence the data strategy and shape central data models

• Mentorship and collaboration opportunities within a high-performing team

• Exposure to the full data stack, from pipelines to BI and ML

• Competitive salary and professional development opportunities

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DIRECTOR OF CREDIT RISK – ECM

UP TO £160,000 + 20% BONUS

LONDON

An exciting unsecured lending Fintech company is currently hiring for a Director to lead their Existing Customer Management programme. This role will build out a team for ECM within the business and work very closely with the Director of Acquisitions and Director of Collections.

This role is an excellent opportunity to move into a fast-paced environment and take on real responsibility for business decisions and grow a small team.

This position can also be a step below at head of level.

THE ROLE

You can expect to be involved in the following day to day:

• Own overall performance of a consumer credit card portfolio, including commercial, risk, and customer outcomes.
• Design and optimise customer lifecycle, segmentation, credit limit, and decisioning strategies.
• Drive data-led change initiatives, including scorecard, policy, and decision engine enhancements.
• Partner cross-functionally to improve acquisition, in-life management, collections, and customer engagement outcomes.
• Lead, develop, and set clear standards for a high-performing team.

SKILLS AND EXPERIENCE

• Credit Cards experience is a must
• Must have owned and ran an ECM function for a lender
• Strong numerical degree

SALARY AND BENEFITS

• Up to £160,000 base salary
• 20% Bonus
• Private Medical
• Enhanced pension contribution

HOW TO APPLY

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

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SENIOR MARKETING ANALYST (MMM/ICREMENTALITY)

UP TO £55,000 – £65,000 + BENEFITS

LONDON

THE COMPANY

A role as a Senior Marketing Analyst, within a household brand name in the entertainment space. This company are at the forefront of Marketing Effectiveness using the most advanced techniques across MMM, Econometrics, ML, AI and more. This is an opportunity to work amongst talented individuals across a wide range of projects in a fast-paced environment.

THE ROLE

You will be working on the following;

• Working with global stakeholders to steer marketing effectiveness strategy
• Using econometric/MMM methods to analyse marketing effectiveness and give essential recommendations
• Using tools such as SQL, Python or R
• Building technical models from scratc
• Embedding MMM and Econometric learnings into tangible outcomes

YOUR SKILLS AND EXPERIENCE

The successful Senior Marketing Analyst, (MMM, Client-side) will have the following skills and experience:

• Experience building MMM models from scratch in either R or Python
• Running incrementality tests to improve marketing effectiveness
• Strong SQL for data manipulation
• Good understanding of marketing effectiveness
• Good communication and stakeholder skills

THE BENEFITS

The successful Senor Marketing Analyst, (MMM, Client-side) will receive a salary between £55,000 to £65,000 and an extensive benefits package.

HOW TO APPLY:

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

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Founding Data Engineer

London – Hybrid (3 days) – £70,000-£80,000 + meaningful equity

Company

Our client is a London-based, well-funded startup specialising in analytics and predictive ML models. They help mobile apps optimise ad spend by analysing behavioural data and delivering predictive signals for high-value conversions. As the first data engineer, you’ll work directly with the founders to build core data infrastructure that powers real business impact.

Responsibilities

As the founding Data Engineer, you will own the design and implementation of data pipelines and infrastructure, including:

• Build production ETL pipelines processing millions of mobile analytics events from MMPs like AppsFlyer and Adjust
• Engineer features for ML models, including temporal patterns, user behaviour sequences, and campaign attribution
• Ensure data quality via validation, deduplication, schema checks, and defensive programming
• Optimise pandas/Polars pipelines for performance at scale
• Handle messy real-world data: duplicates, nulls, schema drift, and out-of-order events
• Build and orchestrate pipelines using Prefect and monitor BigQuery operations
• Establish CI/CD practices and maintain clean, maintainable code
• Integrate APIs with MMPs and advertising platforms, and collaborate with data scientists to productionise ML models
• Set data quality standards and influence the technical strategy for the platform

Requirements

• 4-6+ years of building production data pipelines with measurable business impact
• Deep expertise in Python, SQL, and pandas, with experience in memory optimisation and vectorisation
• Experience managing messy real-world data and maintaining high data quality standards
• Strong code quality practices (e.g., ruff, mypy, pytest, SQLFluff, pre-commit)
• Right to work in the UK and ability to work 3 days/week from Central London office
• Strong problem-solving skills, attention to detail, and ability to work independently
• Experience with workflow orchestration (Prefect, Airflow, Dagster), cloud data warehouses (BigQuery, Snowflake), or backend Python frameworks (Django, FastAPI) is a plus

Benefits

• 25 days annual leave plus bank holidays
• Meaningful equity options as the first engineering hire
• Flexible working: 3 days/week in London office, remote otherwise
• Learning budget for courses, conferences, and professional development
• Direct founder-adjacent experience with strategic input
• Ownership of core systems from near-scratch with full autonomy
• Immediate impact: your code drives production outcomes and company revenue
• Opportunity to shape engineering culture and grow with the company

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Senior Credit Strategy Analyst

Up to £80,000

Hybrid

London

The Company

I am hiring a Senior Credit Strategy Analyst leading dynamic FinTech based in London. Within this role you will be bringing your credit risk strategy experience to focus on driving business growth and profitability using tools like SQL and Python alongside your credit commercial background

The Role

As a Senior Credit Strategy Analyst, you will be:

• Developing new insights to drive optimisation of credit risk strategies.
• Detecting new trends on customer data to develop wider business strategies
• Developing credit risk strategies for Acquisitions and Existing Customers.
• Working with senior leadership to implement/improve strategy.
• Using SQL and Python daily for strategy development

Your skills and experience

To be successful as a Senior Credit Strategy Analyst, you will need:

• Experience as a credit risk strategy analyst
• Experience working in a fast-paced environment
• Experience developing credit risk strategies for Acquisitions and/or Existing Customer
• Experience working with SQL and Python
• STEM Degree from a top university

Benefits

Up to £80,000 + Benefits

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PRODUCT ANALYST

SALARY UP TO £60,000

LOCATION – LONDON – HYBRID – 2 days a week in office

THE COMPANY

A global media organisation which owns and operates multiple high-traffic digital brands across sport and entertainment, attracting millions of users!

THE ROLE

This is an Analyst role focused on audience analytics, engagement, and monetisation across large-scale publishing platforms. You’ll work closely with product, editorial, commercial, and tech teams to understand user behaviour and help shape how audiences are acquired, retained, and monetised.

Key responsibilities include:

• Analysing the effectiveness of registration walls and audience capture strategies, including how interest data is collected and used
• Assessing whether premium content, paywalls, or subscription models can drive incremental revenue
• Designing and analysing A/B tests to improve engagement, relevance, and retention
• Working across multiple areas of the business as priorities evolve
• Audience forecasting and traffic modelling
• Evaluating the impact of AI-driven initiatives (e.g. content summarisation)
• Partnering with stakeholders to translate insights into practical changes, while managing expectations and pushing back where needed

YOUR SKILLS AND EXPERIENCE

• Strong SQL capability, with experience querying large-scale datasets
• Experience working with high-volume user or audience data
• Background in media, publishing, agency, or similarly fast-paced digital environments preferred
• Confident working with web analytics tools (GA experience beneficial)
• Comfortable holding your own with stakeholders, managing direct communication styles, and challenging assumptions
• Ability to balance technical depth with commercial and product-focused thinking

NICE TO HAVE

• Experience with cloud data warehouses (e.g. GCP)
• Python experience or interest
• Exposure to experimentation frameworks or forecasting models

BENEFITS

• Salary around £60,000
• Hybrid working: two days per week in a Central London office
• Core collaboration hours with flexibility around start and finish times
• Opportunity to work on globally recognised platforms with significant scale and data complexity
• Join a growing analytics function with exposure to product, media, and commercial strategy

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