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Senior Software Engineer (Node + React)

£90,000 + Bonus + Benefits
Location: Soho, London
Hybrid: 2 days per week in the office

The Opportunity

Our client are hiring three Senior Software Engineers to join a growing engineering function that builds technology powering large-scale advertising and media platforms.

This is a hands-on senior role for engineers who enjoy thinking about the “why”, not just the “how”. You’ll help shape technical decisions, guide less experienced engineers, and contribute to building well-designed, scalable systems used across major advertising campaigns.

The Challenge

The team is looking for engineers who can:

• Provide technical direction and sound judgement
• Think critically about priorities, architecture, trade-offs, and impact
• Ask the right questions before diving into implementation
• Collaborate effectively and feel comfortable discussing solutions rather than following scripts

They’ve met candidates who look strong on paper but struggle to explain their reasoning – this role is for someone who can clearly articulate how and why they solve problems.

What They’re Looking For

Experience

• Ideally 5+ years of commercial experience
• Experience with NodeJs and ReactJs
• Industry is open (financial services experience may not be the best fit)

Mindset

• Self-starter who can take ownership
• Comfortable leading solutions without formal authority
• Analytical, thoughtful, and curious
• Collaborative rather than siloed

Interview Process

1. 1-hour competency-based interview with the Engineering Director
2. Final onsite interview – problem-solving session using a whiteboard
   • Focuses on approach, reasoning, and collaboration, not coding syntax

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Data Engineer

UK, Fully Remote, £65,000 to £70,000

This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation.

The Company

They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage.

The Role

You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight.

Responsibilities include:

• Owning and developing the data platform on GCP, ensuring reliability and scalability
• Building and maintaining robust ingestion pipelines using modern ELT tools
• Designing and maintaining high-quality data models to support analytics and self-serve BI
• Partnering with BI and commercial teams to translate business needs into technical solutions
• Supporting data governance, testing, and documentation across the warehouse
• Contributing to ongoing platform improvements, including automation and AI-enabled tooling

Your Skills & Experience

• Strong data engineering fundamentals within a modern cloud data stack
• Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar
• Solid data modelling capability for analytics and reporting use cases
• Hands-on experience with infrastructure as code, particularly Terraform
• Comfortable working in scaling environments with evolving data maturity
• Able to communicate clearly with both technical and non-technical stakeholders
• An interest in automation, AI, or improving engineering workflows is beneficial

What They Offer

• High autonomy and the chance to shape a growing data platform
• Clear scope for progression as the data function expands
• Support from an established DevOps and engineering team

How to Apply

If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

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Role: Analytics Engineer

REMOTE

Salary: £60,000 – £75,000 (dependent on experience)

Insight into the Company:

This organisation is a large telecoms organisation that is looking to change the industry through their flexible approach! As an Analytics Engineer on their team, you will work to build the customer data platform.

The ideal candidate will be a team-player, working in a team of 10, working with and supporting different data workstreams. You will have strong communication skills to work within the team and also with stakeholders. The role will involve improving existing models to ensure they are efficient and scaled.

Role and Responsibilities:

• You will ingest and transform data in snowflake using DBT
• You will support the building of the data warehouse in Snowflake
• You will work to sustain and implement existing ELT pipelines

Skills and Experience:

• Essential to have 3+ years experience in:
• SQL
• Python
• DBT
• Cloud techs such as Snowflake, BigQuery or Databricks
• Dimensional Modelling such as Kimball
• Desirable to have experience with:
• CI/CD pipelines
• Kafka; real-time streaming
• Snowflake as a data warehouse

Interview Process:

There are 4 stages to the process:

1. A 30 minute discussion about experience
2. An hour take home exercise
3. A technical interview with the Data Director and Analytics Engineer

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Analytics Engineer – 12 month fixed term contract

UK Remote

£67,000 plus benefits

This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow.

The Company

They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence.

The Role

You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include:

• Leading the design and delivery of curated, analytics ready data models within the Lakehouse
• Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight
• Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks
• Embedding data quality, testing, reliability and performance into the curated layer
• Working closely with data engineers, BI teams and business stakeholders to translate complex requirements
• Providing technical leadership, mentoring and setting modelling and engineering standards
• Contributing to CI/CD processes and wider engineering best practice across the data platform

Your Skills and Experience

• Strong commercial experience as an Analytics Engineer within a modern data platform
• Excellent data modelling capability, including dimensional and semantic modelling
• Advanced SQL skills and strong hands on experience with PySpark
• Experience working with Databricks and Lakehouse architectures
• A solid grounding in engineering best practices, testing and data quality
• Confidence mentoring others and taking ownership of technical decisions
• An engineering mindset applied to analytics, rather than an analyst focused role

What They Offer

• Flexible by choice working, supporting different schedules and work life balance
• A 35 hour working week within a supportive, inclusive engineering culture
• The opportunity to shape a critical data programme with real visibility across the business

How to Apply

If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

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Customer Insights Analyst

£50,000 – £55,000

Hybrid – Lancashire (3x days per week)

This is an opportunity to step into a high impact customer insight role where your analysis directly shapes marketing strategy, customer experience, and commercial performance. You will work with rich customer and patient data to influence how a large, service led organisation engages, retains, and grows its customer base.

The Company

They are a well established, customer focused organisation operating at scale within a regulated, service led environment. Data and insight sit at the heart of their decision making, with strong collaboration across marketing, operations, and product teams. The business values thoughtful analysis, ethical data use, and turning insight into meaningful action.

The Role

You will focus on unlocking actionable insight across the full customer lifecycle, supporting CRM performance, retention, and personalisation. Key responsibilities include:

• Analysing CRM, POS, digital, and survey data to identify behavioural trends and growth opportunities
• Supporting campaign targeting and optimisation through segmentation, cohort analysis, and predictive insight
• Developing dashboards that connect customer behaviour to commercial KPIs such as conversion, retention, and lifetime value
• Leading analysis of satisfaction and advocacy data using sentiment and key driver approaches
• Delivering clear, executive ready insights to non technical stakeholders
• Partnering with marketing, operations, and product teams to improve lifecycle communications and service delivery
• Ensuring GDPR and data governance standards are met in all analysis and reporting

Your Skills and Experience

• Strong commercial experience in customer insight, CRM analytics, or lifecycle analysis
• Confident using SQL and Python for data analysis
• Experience with BI and visualisation tools such as Power BI or Tableau
• Solid understanding of segmentation, retention, and campaign performance metrics
• Comfortable working with multi channel CRM data including email, SMS, and direct marketing
• Ability to translate complex data into clear, actionable recommendations

What They Offer

• Competitive salary and benefits package
• Hybrid working model
• Exposure to large scale, high value customer data
• Clear opportunity to influence strategy and see the impact of your work
• Supportive, collaborative culture with strong values around integrity and improvement

How to Apply

If you are excited by turning customer data into meaningful commercial insight, apply now to find out more.

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Digital Merchandising Operations Manager
London (Hybrid, 2 days in office)
Up to £60,000

This is a brand-new opportunity to shape how digital insight influences key commercial decisions. You will be the digital voice across the buy cycle, directly impacting online performance, customer experience, and cross‑functional trading decisions. With strong visibility and backing from senior leadership, this is a role where your recommendations will make a meaningful difference from day one.

The Company
They are a well‑established retail brand with a growing focus on digital excellence. With increasing investment in ecommerce, data, and customer experience, they are building out their digital operations capability to better link online demand with merchandising, planning, and inventory functions. You will join a collaborative environment that values insight, proactivity, and continuous improvement.

The Role
You will sit within the digital visual merchandising organisation and act as the dedicated digital counterpart to Buying, Planning, Inventory, Site Operations, and Commercial teams.

Your responsibilities will include:
* Providing insight across customer behaviour, onsite performance, availability metrics, and digital trading trends to influence pre‑season planning and in‑season decisions.

• Be the link between merchandising and digital metrics, using product views, conversions etc as part of your KPIs and decision making.

* Consolidating product, availability, and demand insight to shape assortment strategy and highlight opportunity areas.
* Flagging risks early, such as light stock positions or delivery timings that may impact digital performance.
* Using availability and performance data to support removal decisions, size depth alignment, and commercial optimisation.
* Acting as a key partner in trading forums, planning meetings, and digital alignment sessions.
* Managing weekly and monthly reporting to surface trends across product performance, zero sellers, customer navigation, and demand signals.

Your Skills and Experience
* Strong stakeholder management experience, particularly with buying, planning, or inventory teams.
* Commercial experience in ecommerce or retail, with exposure to digital performance metrics such as conversion, product views, and availability.
* Confident working with data, using Excel and reporting tools to translate insight into clear, actionable recommendations.
* Comfortable working cross‑functionally and presenting insight to senior partners.
* Highly organised, detail‑focused, and able to operate proactively in a fast‑paced environment.
* A collaborative, communicative personality suited to influencing decisions and championing the digital customer.

What They Offer
* Salary up to £60,000 plus benefits.
* Hybrid working with two days per week in their central London office.
* The chance to shape a newly created function with strong senior sponsorship.
* Clear visibility and impact across commercial, digital, and merchandising teams.
* Opportunities for progression as the digital operations capability continues to grow.

How to Apply
If this sounds like the right next step for you, please apply with your CV for immediate consideration.

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Senior Analyst
London – hybrid – 3x a week
Up to £60,000

This is a high impact senior individual contributor role where you will take ownership of some of the most critical commercial metrics in a large, digital first organisation. You will play a central role in shaping how customer value and revenue performance are measured, trusted and used to drive growth across marketing and reader revenue.

The Company
They are a well-established, purpose-led digital publisher with a global audience and a strong focus on reader-sponsored revenue. Operating at a significant scale, they combine subscription and contribution models with advertising to fund high quality journalism. Their data function plays a critical role in supporting sustainable growth and long term customer relationships.

The Role

• Own and continuously improve lifetime value (LTV) and core revenue metrics across multiple products and customer journeys.
• Enhance and maintain analytical data models, ensuring reliability, performance and scalability as products and revenue streams evolve.
• Take ownership of key marketing and revenue dashboards, ensuring stakeholders can trust and act on the insights.
• Support experimentation and A/B testing, providing analytical input for strategic, non BAU initiatives.
• Partner with stakeholders across marketing, product and strategy to interpret performance, explain drivers and guide decision making.
• Contribute to strategic insight projects including customer segmentation, contact base analysis and business planning.

Your Skills and Experience

• Strong commercial experience operating as a senior analyst in a fast paced, data rich environment.
• Proven ownership of lifetime value (LTV) modelling and closely related metrics such as revenue attribution and experimentation analysis.
• Advanced SQL skills with experience using Python for analysis.
• Experience working with BI tools such as Power BI or Tableau.
• Exposure to modern analytics engineering tools such as dbt is beneficial, but not essential.
• Comfortable working independently, prioritising work and managing complex analytical problems.

What They Offer

• A senior, visible role with genuine ownership of business critical metrics.
• The opportunity to influence strategy and revenue growth in a purpose driven organisation.

How to Apply
Apply now to find out more about this senior analytics opportunity and how it could be the next step in your career.

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PRODUCT DATA ANALYST / SCIENTIST

UP TO £85,000

HYBRID – LONDON 2x PER WEEK + 1x MONTHLY TEAM TRAVEL

*Please note, you must be a UK resident and citizen to apply*

THE COMPANY

Backed by private equity, this fast-growing consumer technology business is on a mission to become more product-focused and deliver greater personalisation for its users. With strong leadership and exciting growth plans, they’re now looking for a senior-level Product Data Analyst/Scientist to help shape product strategy and deliver actionable insights.

THE ROLE

As a Product Data Analyst/Scientist, you will:

• Own and drive product analytics, focusing on user behaviour and personalisation.
• Deliver insights that directly influence product strategy and experimentation.
• Build and maintain dashboards to track product performance and user engagement.
• Partner with stakeholders across product and analytics to communicate insights effectively.
• Support the business in becoming more data-driven, shaping commercial and product decisions.

YOUR SKILLS AND EXPERIENCE

• Experience in product analytics, within B2C consumer tech businesses
• Strong SQL skills essential.
• Proficiency with data visualisation tools (Looker preferred, open to others).
• Experience with Python desirable.
• Product analytics expertise: experimentation, dashboarding, and driving product strategy.
• Excellent communication and stakeholder management skills.
• Experience influencing product roadmaps and delivering commercial impact.

BENEFITS

• Opportunity to influence product strategy in a PE-backed, high-growth business.
• Work closely with senior leadership, including the Director of Analytics.
• Competitive salary plus benefits.

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Lead Data Analyst
London, Hybrid (1-2x per week)
Up to £65,000

This is an exciting opportunity to join a high‑growth organisation where data science directly shapes performance marketing strategy. You will lead a growing data science function, drive long‑term analytical programmes, and play a key role in delivering meaningful commercial impact for well‑known consumer brands.

The Company
They are a specialist performance marketing and technology business known for combining deep analytical expertise with innovative data products. With a rapidly expanding team and a strong track record of industry recognition, they partner with major consumer brands to solve complex measurement, forecasting, and modelling challenges. Their culture is collaborative, modern, and driven by delivering high‑quality work that genuinely moves the needle for clients. As they scale, they are investing heavily in data science, experimentation, and advanced analytics.

The Role
As Lead Data Analyst, you will oversee a team of data scientists and work closely with senior stakeholders across analytics, data engineering, and technology. You will:
* Lead experimentation and measurement initiatives including incrementality testing, geo‑based studies, brand lift approaches, and causal inference.
* Own advanced modelling projects such as MMM, LTV modelling, propensity scoring, and predictive forecasting.
* Deploy models into cloud environments and integrate into advertising platforms including Google and Meta.
* Guide long‑term analytical roadmaps and ensure projects drive measurable commercial impact.
* Partner with high‑profile clients, often with direct access to raw data, applying rigorous analytical thinking to real‑world marketing challenges.
* Mentor and support a growing team of data scientists as they expand through the year.

Your Skills and Experience
You will bring:
* Strong commercial experience with SQL.
* Deep knowledge of experimentation methodologies such as incrementality, causal inference, geo testing, or brand lift studies.
* Hands‑on experience with MMM, LTV modelling, and propensity modelling.
* Ability to deploy and maintain models in cloud environments and integrate with marketing platforms.
* Experience delivering impactful, long‑term analytics or data science projects.
* Management or mentoring experience is desirable, but they are also open to strong individual contributors ready to step up.
* Exposure to attribution modelling is a bonus.

What They Offer
* Salary up to £65,000.
* Hybrid working with one day per week in their London office.
* The opportunity to lead a growing data science function with genuine ownership and influence.
* Work with large‑scale datasets from major consumer brands.
* A culture that invests in innovation, long‑term thinking, and high‑impact analytics.

How to Apply
If you are ready to take the next step in your data science career, apply today to find out more.

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Commercial Analyst
London – Hybrid 2x a week
Up to £85,000 + bonus

This is a newly created, high impact Commercial Analyst role offering real ownership from day one. You will sit at the heart of a growing, consumer facing business and play a key role in shaping how commercial and marketing decisions are made through data driven insight.

The Company
They are a fast-growing entertainment and ticketing business operating across London and the UK. With a strong focus on direct-to-consumer sales, they work with a broad portfolio of live venues and experiences. Data is already central to the organisation, with established BI capability, but this role represents the first dedicated commercial analyst focused on insight and opportunity identification rather than reporting alone.

The Role
You will work closely with senior commercial leadership in a standalone capacity, owning analysis end to end and influencing strategy across marketing, customer and revenue performance.

Key responsibilities include:

• Delivering hands on commercial and marketing analysis across multiple data sources and channels
• Owning attribution analysis to understand where revenue is generated across digital and offline activity
• Assessing the impact of marketing spend, including complex channels such as direct mail
• Analysing customer behaviour, lifetime value and retention to support growth strategies
• Translating insight into clear, actionable recommendations for non technical stakeholders
• Partnering with BI and engineering teams to improve dashboards and enable more self serve insight across the business

Your Skills and Experience

• Strong commercial analytics experience with a focus on insight rather than pure reporting
• Advanced SQL skills and experience working with Power BI
• Solid understanding of marketing attribution and customer analytics
• Confidence working across multiple datasets and ambiguous problem spaces
• Ability to clearly communicate findings and influence senior stakeholders
• A proactive, opportunity led mindset with strong business acumen

What They Offer

• Hybrid working with two days per week in a central London office
• The chance to shape a brand new role with clear visibility and impact

How to Apply
Apply now to find out more about this unique commercial analytics opportunity.

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Senior Marketing Analyst
London – hybrid 3x a week
Up to £85,000 + equity

This is a high impact Senior Marketing Analyst role sitting at the centre of growth and commercial decision making within a fast paced, product led fintech. You will take ownership of marketing analytics across a complex, multi-product environment, with a particular focus on attribution, experimentation, and driving efficient growth in a key international market.

The Company
They are a highly data driven fintech operating a consumer app across lending and financial products. Known for strong analytical standards and commercial focus, they have been profitable for several years and continue to scale at pace, including significant expansion into the US. Data is deeply embedded across product and growth teams, with analytics playing a critical role in shaping strategy.

The Role

• Partner closely with growth and marketing teams to support performance analysis and commercial decision making
• Analyse marketing spend across digital channels including paid social and search, assessing efficiency and ROI
• Own attribution analysis to understand where customer applications originate, including multi touch attribution models
• Optimise end to end customer funnels, identifying drop offs and conversion opportunities
• Analyse complex customer journeys across financial products and recommend alternative pathways for rejected users
• Build models to answer commercial questions such as incrementality, uplift and new channel effectiveness
• Apply statistical techniques to support experimentation, testing and investment decisions
• Work closely with senior stakeholders including the Head of Growth and CMO to translate insight into action

Your Skills and Experience

• Strong commercial marketing analytics experience within consumer technology or digital products
• Advanced SQL and Python skills, with Python central to analytical work
• Proven experience with attribution modelling and complex channel analysis
• Hands on experience with experimentation, AB testing and statistical analysis
• Ability to structure ambiguous problems and deliver clear, actionable insight
• Confident communicator with experience influencing non technical stakeholders

What They Offer

• Salary up to £85,000
• Equity participation
• Hybrid working with three fixed days per week in the London office
• High visibility role with clear ownership and impact
• Opportunity to work on international growth within a mature, data led organisation

How to Apply
To apply, please send your CV to Izzi, including your contact details and salary expectations.

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Lead Product Analyst
London – hybrid 3x a week
Up to £100,000 + equity

This is a high impact Lead Product Analyst role where you will shape how data drives product and customer experiences within a fast-paced, product-led technology business. With a strong focus on personalisation and experimentation, this role offers the chance to influence core commercial outcomes while working on a rapidly scaling international portfolio.

The Company
They are a well-established, data driven fintech operating a multi-product consumer app across lending and financial services. Known for their strong analytical culture, they have been profitable for several years and continue to grow at pace, including significant expansion into the US market. Data sits at the centre of decision making, with analytics embedded closely alongside product, engineering and growth teams.

The Role
You will operate as a senior individual contributor within the product analytics function, owning insight across key customer journeys and driving measurable impact.

• Lead product analytics for a consumer app, focusing on personalisation and customer relevance
• Use data to determine the right product, message or experience to show each user at the right time
• Partner closely with product managers, engineers and data scientists in a cross functional, pod based environment
• Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement
• Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood
• Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences
• Translate complex analysis into clear commercial recommendations for senior stakeholders

Your Skills and Experience

• Strong experience in product or growth analytics within consumer facing digital products
• Advanced SQL and strong Python skills, with Python central to day to day analysis
• Proven experience with experimentation, AB testing and causal analysis
• Exposure to propensity modelling or recommendation based use cases
• A commercial mindset with the ability to link analysis to business outcomes
• Experience working closely with product and engineering teams in agile environments
• Familiarity with complex, multi step customer journeys, ideally within apps or large scale consumer platforms

What They Offer

• Salary up to £100,000
• Equity participation
• Hybrid working with three days per week in the London office
• A highly visible role with real ownership and influence over product direction
• Strong opportunities for growth within a scaling analytics function

How to Apply
Apply now to learn more about this Lead Product Analyst opportunity and how it could fit your next career move.

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