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Data Governance Lead
Location: London (Hybrid, 3 days office based)
Salary: £70,000 to £85,000 plus bonus and benefits

This is a high impact opportunity to take ownership of Data Governance and Compliance within a growing, transformation focused organisation. You will play a central role in shaping how data is governed, trusted and used across the business, with the autonomy to lead tooling implementation and influence senior stakeholders.

The Company
They are a well established, consumer focused organisation with a strong digital and data agenda, serving millions of customers internationally. Data is central to their ongoing transformation, with significant investment being made in governance, quality and compliance. The data function is growing in maturity and influence, offering a collaborative environment with clear executive support.

The Role

• Own and lead Data Governance and Compliance across the organisation
• Drive the implementation of enterprise data governance tooling, owning delivery end to end
• Define and embed data ownership models and governance for data products
• Establish and manage data lineage from source systems through to reporting and BI
• Develop and embed data contracts, working closely with system and domain owners
• Manage data compliance activity including data subject access requests and retention policies
• Partner with technology, analytics and business teams to embed governance principles
• Assess data governance maturity and define a clear roadmap for improvement
• Potentially line manage a data quality analyst as the function grows

Your Skills & Experience

• Strong hands on experience in Data Governance and Data Compliance
• Proven capability in defining and managing data lineage and data ownership frameworks
• Experience implementing or working with data governance tooling
• Solid understanding of GDPR, data retention and customer data requests
• Confident stakeholder management skills with the ability to influence across teams
• Comfortable working autonomously in a changing, transformation led environment
• Background in industry or consulting, with transferable governance expertise

What They Offer

• Salary between £70,000 and £85,000 with flexibility for the right profile
• 10 percent annual bonus based on company performance
• Pension, 25 days holiday plus bank holidays
• Clear scope to grow ownership and leadership within Data Governance
• Hybrid working with three days per week in a central London office

How to Apply
If you are looking to take ownership of Data Governance in a business investing heavily in data, apply now to learn more.

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Analytics Engineer

Location: Remote First (London Office)

Salary: £65,000 to £70,000 plus benefits

This is a rare opportunity to join a lean, high impact data function at a pivotal point in its growth. You will play a key role in rebuilding and shaping a core analytics capability, working in a genuinely hands on role where your technical decisions will directly influence how data is used across the business.

The Company

They are a UK based, digital first consumer business with a strong focus on data led decision making. Operating with a community driven mindset, they place analytics at the centre of product development and customer experience. The organisation runs lean, values autonomy, and invests in modern data platforms to enable teams to build quickly and effectively.

The Role

As an Analytics Engineer, you will sit within the central data team, supporting multiple product areas and helping to establish best practice across analytics engineering.

• Design and build robust, scalable data models to support analytics and reporting
• Develop and maintain transformations using dbt on a modern cloud data platform
• Work closely with data infrastructure to ensure clean, well structured datasets
• Partner with product, data science and analytics stakeholders to enable self serve analytics
• Take ownership of core data assets and help rebuild central analytics capability

Your Skills and Experience

• Strong commercial experience using SQL to build and optimise data models
• Proven capability in dimensional data modelling, ideally using Kimball principles
• Hands on experience with dbt for data transformation
• Experience working with cloud data warehouses, particularly Snowflake
• Comfortable using Python or a similar language for logical problem solving
• A builder mindset, with a preference for technical delivery over heavy stakeholder management

What They Offer

• The chance to join a small core team with real influence and visibility
• Clear opportunity to shape the future of the analytics function as it scales
• Supportive, inclusive culture with a strong focus on learning and ownership

How to Apply

Apply now to find out more about this opportunity or to discuss whether it could be the right next step for you.

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Analytics Engineer (12 month FTC)

Up to £67,000

Remote (UK Based)

This is an opportunity to join a growing analytics engineering function at a pivotal point in its data transformation.

THE COMPANY

They are a large, established law firm operating nationally, with thousands of colleagues across multiple UK offices. Data and analytics play an increasingly strategic role, supporting both operational and client facing teams. The culture combines high technical standards with a strong focus on collaboration, flexibility and doing the right thing.

THE ROLE

As an Analytics Engineer you will own the design and delivery of analytics-ready data within a modern Lakehouse environment, shaping how data is modelled, curated and consumed across the organisation.

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

• Play a key role in a Lakehouse programme, sitting at the intersection of analytics, engineering and the business.
• Design and own analytics data models, transforming data from enriched layers into curated, analytics ready datasets.
• Develop and maintain robust SQL and PySpark transformations within Databricks.
• Work closely with data engineers, BI teams and stakeholders to translate complex requirements into trusted reporting.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience as an analytics focused engineer, rather than an analyst.
• Advanced data modelling capability, including dimensional modelling.
• Strong PySpark and SQL skills in production environments.
• Hands on experience with Databricks, including pipelines and governed data environments.
• A solid grounding in engineering best practices, testing and version control.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary up to £67,000 – depending on experience.
• A 35-hour working week that can be done as a 4-day working week.

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

Analytics Engineer (12 month FTC)

Up to £67,000

Remote (UK Based)

This is an opportunity to join a growing analytics engineering function at a pivotal point in its data transformation.

THE COMPANY

They are a large, established law firm operating nationally, with thousands of colleagues across multiple UK offices. Data and analytics play an increasingly strategic role, supporting both operational and client facing teams. The culture combines high technical standards with a strong focus on collaboration, flexibility and doing the right thing.

THE ROLE

As an Analytics Engineer you will own the design and delivery of analytics-ready data within a modern Lakehouse environment, shaping how data is modelled, curated and consumed across the organisation.

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

• Play a key role in a Lakehouse programme, sitting at the intersection of analytics, engineering and the business.
• Design and own analytics data models, transforming data from enriched layers into curated, analytics ready datasets.
• Develop and maintain robust SQL and PySpark transformations within Databricks.
• Work closely with data engineers, BI teams and stakeholders to translate complex requirements into trusted reporting.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience as an analytics focused engineer, rather than an analyst.
• Advanced data modelling capability, including dimensional modelling.
• Strong PySpark and SQL skills in production environments.
• Hands on experience with Databricks, including pipelines and governed data environments.
• A solid grounding in engineering best practices, testing and version control.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary up to £67,000 – depending on experience.
• A 35-hour working week that can be done as a 4-day working week.

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

Analytics Engineer (12 month FTC)

Up to £67,000

Remote (UK Based)

This is an opportunity to join a growing analytics engineering function at a pivotal point in its data transformation.

THE COMPANY

They are a large, established law firm operating nationally, with thousands of colleagues across multiple UK offices. Data and analytics play an increasingly strategic role, supporting both operational and client facing teams. The culture combines high technical standards with a strong focus on collaboration, flexibility and doing the right thing.

THE ROLE

As an Analytics Engineer you will own the design and delivery of analytics-ready data within a modern Lakehouse environment, shaping how data is modelled, curated and consumed across the organisation.

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

• Play a key role in a Lakehouse programme, sitting at the intersection of analytics, engineering and the business.
• Design and own analytics data models, transforming data from enriched layers into curated, analytics ready datasets.
• Develop and maintain robust SQL and PySpark transformations within Databricks.
• Work closely with data engineers, BI teams and stakeholders to translate complex requirements into trusted reporting.

SKILLS AND EXPERIENCE

The successful Analytics Engineer will have the following skills and experience:

• Strong commercial experience as an analytics focused engineer, rather than an analyst.
• Advanced data modelling capability, including dimensional modelling.
• Strong PySpark and SQL skills in production environments.
• Hands on experience with Databricks, including pipelines and governed data environments.
• A solid grounding in engineering best practices, testing and version control.

BENEFITS

The successful Analytics Engineer will receive the following benefits:

• Salary up to £67,000 – depending on experience.
• A 35-hour working week that can be done as a 4-day working week.

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

BI ANALYST
REMOTE/ OCCASIONAL SHEFFIELD TEAM DAYS
UP TO £55,000

This is a high impact Data Analyst role where you will help shape how a growing digital business uses data.
You will play a central role in building core reporting foundations, defining meaningful commercial metrics, and enabling better decision making across the organisation during an exciting period of data transformation.

ROLES AND RESPONSIBILITIES:
The BI Analyst will:

• Build and maintain core analytics data models using SQL, including star schema designs
• Develop dashboards and reporting layers using modern BI tools
• Translate commercial questions into clear, actionable insights
• Partner with stakeholders to define KPIs and reporting requirements
• Conduct exploratory analysis to identify trends, opportunities, and risks
• Bring structure and scalability to existing ad hoc reporting processes
• Work closely with a Data Engineer as the data platform evolves

YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:

• Strong commercial experience using SQL for analysis and data modelling
• Proven ability to design structured datasets for reporting and insight
• Experience building dashboards in at least one modern BI tool, with adaptability across tools
• Comfortable working in modern data environments and evolving tech stacks
• Confident communicator who can bridge the gap between data and commercial teams
• Curious, proactive mindset with the ability to turn ambiguity into structured outputs

APPLY BELOW!

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Head of Data Science
London | Hybrid working (2 to 3 days in office) | £150,000 to £170,000 base salary

This is a rare opportunity for you to take ownership of a large, highly influential data science function within a profitable, data driven organisation where modelling and AI directly shape commercial outcomes. You will have executive level visibility, genuine autonomy, and the chance to define how data science and AI are applied at scale.

The Company

They are a well established UK fintech operating in the SME lending space, with data science embedded at the core of their decision making. The business is profitable, growing, and known for applying rigorous probabilistic and statistical models in production environments. Data science is not an advisory function here; it directly underpins lending decisions, forecasting, and commercial strategy across the organisation.

The Role

• You will lead a multi team data science function spanning credit, product, and operations
• You will set the strategic direction for how data science delivers measurable commercial value
• You will scale and optimise ways of working, standards, and tooling across teams
• You will partner closely with senior stakeholders across engineering, product, and commercial functions
• You will drive AI adoption and transformation, focusing on productivity, efficiency, and decision quality
• You will oversee hiring, development, and progression of managers and senior individual contributors
• You will contribute to modelling, architectural, and probabilistic machine learning strategy where needed

Your Skills & Experience

• Strong experience leading and scaling data science teams, including managing managers and senior ICs
• Clear examples of commercial impact delivered through data science or AI initiatives
• Experience working with models in production and understanding trade offs between rigour, speed, and value
• Ability to operate strategically while remaining technically credible at model and methodology level
• Recent experience driving AI adoption or transformation, with evidence of value created
• Strong stakeholder management and communication skills with senior decision makers
• Academic background in a quantitative discipline such as statistics, mathematics, physics, or similar

What They Offer

• Base salary of £150,000 to £170,000
• Hybrid working with 2 to 3 days per week in the London office
• A senior leadership role with high autonomy and strong executive sponsorship
• The chance to shape how data science and AI are applied across a profitable, scaling business
• A comprehensive benefits package and long term progression opportunities

How to Apply
If you are a senior data science leader looking to drive impact at scale in a commercially focused environment, please apply to learn more.

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Senior Research Executive
London, Hyrbid
Salary up to £45,00

This is a standout opportunity for a Senior Research Executive who wants real responsibility from day one and exposure to fast paced, high impact research projects. You will sit at the heart of survey delivery, combining hands on scripting, fieldwork management, and client interaction in a role that offers genuine ownership and development.

The Company
They are a growing data and insights business operating at the intersection of technology, research, and consultancy. Their platform enables rapid, high quality data collection for a diverse range of organisations across sectors. The environment is collaborative, delivery focused, and built around giving individuals autonomy and trust early in their career.

The Role

• Design, script, and launch quantitative surveys using internal and third party platforms
• Review and improve client supplied questionnaires to ensure quality and best practice
• Manage fieldwork operations, including sample management and data quality checks
• Act as a key point of contact for clients throughout live projects
• Monitor projects in real time, ensuring fast turnaround and smooth delivery
• Produce clean data tables and outputs for analytics and consulting teams
• Balance tracker studies with ad hoc project work in a dynamic workload

Your Skills and Experience

• Strong commercial experience in quantitative survey research
• Hands on experience scripting and managing surveys end to end
• Exposure to fieldwork management and sample quality control
• Ability to turn raw data into clear tables and structured outputs using tools such as Q or Displayr
• Confident communicator who is comfortable working directly with clients
• Flexible and proactive approach in a fast moving environment

HOW TO APPLY:

Apply by sending your CV to Joe by the link below

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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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