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Senior Analytics Engineer

Ecommerce Focus

Remote (EST Hours)

$140K to $170K base plus bonus

We are working with a high growth direct to consumer business that is investing heavily in its data platform to support ecommerce, marketing, and customer analytics.

This role will be instrumental in building a scalable analytics layer to drive performance across digital channels.

The Role

You will own the analytics engineering layer supporting ecommerce and marketing, working closely with stakeholders to deliver trusted data and actionable insights.

Key responsibilities include:

Building dbt models to support ecommerce and marketing use cases

Developing ELT pipelines across tools such as Airbyte and Python

Designing datasets for customer, product, and transaction analytics

Supporting BI and dashboarding in Looker

Partnering with marketing, growth, and product teams on KPI development

Enabling self serve analytics across digital teams

Requirements

4+ years experience in analytics engineering or data engineering

Strong SQL and dbt experience

Experience working with ecommerce or marketing data

Hands on experience with modern data warehouses and BI tools

Experience supporting stakeholder driven analytics use cases

Nice to have

Shopify or similar ecommerce platform experience

Experience with marketing attribution or customer analytics

Exposure to BigQuery, Looker, or Airbyte

Python experience

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Complaints Insight Analyst

Up to £45,000
Nottingham – Hybrid (3 days onsite: Tues-Thurs)

I’m hiring a Complaints Insight Specialist to join a leading financial services organisation, working at the heart of how the business understands and improves customer outcomes.

This role sits within a Complaints Process & Insight team, using customer complaints as a powerful tool to identify issues, uncover trends, and drive meaningful improvements across the organisation.

The role

This is a customer insight role in an operational environment, focused on:

• Analysing complaints data
• Identifying root causes of customer issues
• Recommending improvements to reduce future complaints

You won’t be pulling or engineering the data – instead, you’ll be taking available data and turning it into clear, actionable insight for stakeholders.

What you’ll be doing

• Analyse complaints data to identify trends, patterns, and root causes of issues
• Produce clear insights and recommendations to improve customer outcomes
• Support operational teams in identifying opportunities to reduce complaints and improve processes
• Work closely with stakeholders across operations and strategy to deliver insight projects
• Present findings through reports, presentations, and storytelling
• Contribute to improving complaints strategy and overall customer experience

Where you fit

You’ll be part of a team of specialists focused on:

• Complaints analysis
• Operational improvement
• Customer insight strategy

Some team members are more process‑focused – this role sits firmly on the insights side, helping turn data into tangible business change.

What they’re looking for

Must‑haves

• Experience working in an operational or customer‑focused environment
• Strong analytical mindset – able to interpret data and identify trends
• Experience delivering insight and recommendations, not just reporting
• Excellent communication and storytelling skills
• Ability to work with stakeholders and translate insight into action

Very strong preference

• Experience in complaints, customer operations, or service environments
• Experience in financial services or regulated industries
• Strong understanding of root cause analysis and process improvement

Nice to have

• Experience working with operational datasets (even in Excel)
• Basic exposure to SQL (but not heavily technical roles)

This role is not suited to heavily technical analysts – it’s about insight, not engineering.

What they’re looking for in a candidate

• 3-5 years’ experience (4-5 ideal)
• Someone who’s“sparky” and curious – able to challenge and go deeper
• Comfortable working with real business problems and ambiguity
• Strong examples of taking data → insight → recommendation → impact

Why this role

• Work in a data‑driven organisation where customer insight drives change
• High visibility across operations and strategy teams
• Opportunity to influence real customer outcomes and business processes
• Strong learning and progression opportunities

Interview process

• Online assessment (situational judgement)
• Behavioural / job‑fit interview
• Final in‑person case study (focused on operational data and insight)

Working style

• 3 days per week in Nottingham office (Tues-Thurs)
• Collaborative, team‑focused environment

If you’re currently working in operations, customer insight, complaints, or business analysis, and enjoy turning data into meaningful improvements, this is a great opportunity.

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Pricing Manager – Insurance
West Midlands
£65,000 to £70,000 + bonus and benefits

This is a high-impact opportunity to take ownership of pricing decisions within a growing personal lines environment. The role offers a strong balance of leadership and hands-on analytical work, with a clear focus on commercial impact rather than pure modelling. You will play a key role in shaping pricing strategy and responding to market trends in a data-driven way.

The Company
They are an established UK insurer with a strong and growing customer base, continuing to invest in pricing, data, and analytics capabilities. Their pricing function plays a central role in business decision-making, working closely with actuarial, underwriting, and data teams. The environment encourages curiosity, collaboration, and the use of new data to challenge existing approaches.

The Role

• Lead and develop a small team of analysts, providing guidance and prioritising workload
• Translate model outputs into clear, commercially actionable pricing decisions
• Analyse claims, policy, and market data to identify pricing opportunities
• Enhance existing pricing models by integrating new datasets and improving performance
• Work cross-functionally with actuarial, data science, and underwriting teams
• Identify market trends and ensure pricing strategies remain competitive and profitable
• Support the delivery and execution of pricing strategy

Your Skills and Experience

• Strong commercial experience within pricing, analytics, or a related discipline
• Ability to interpret data and translate insights into clear business actions
• Experience working with or assessing pricing or risk models
• Exposure to personal lines insurance is beneficial, but strong analytical backgrounds from adjacent sectors are also considered
• Working knowledge of Python or R, with SQL as a useful addition
• Interest in leadership, with experience mentoring or managing others or a clear motivation to do so
• Strong stakeholder communication and influencing skills

What They Offer

• Salary up to £70,000, with some flexibility for exceptional candidates
• Performance-related bonus and a comprehensive benefits package
• Hybrid working model with approximately one day per week in the office
• Private medical cover, pension contribution, life assurance, and wellbeing support
• Clear progression opportunities within a growing pricing and analytics function

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Customer Insight Analyst

Hybrid – Blackburn, Lancashire

Salary: up to £55,000

This is an opportunity to join a data-led organisation where customer insight sits at the heart of decision making. The role offers strong exposure to CRM, customer lifecycle strategy, and advanced analytics, with the chance to directly influence customer experience and commercial performance.

The Company

They are an established, customer-focused business operating across a large network of locations, with a strong emphasis on data-driven growth. The organisation is investing in its analytics capability to better understand customer behaviour and optimise engagement strategies. Teams are collaborative and cross-functional, bringing together marketing, operations, and analytics to deliver measurable outcomes. They prioritise high-quality customer experiences and continuous improvement across their services.

The Role

• Analyse customer and transactional data across CRM, digital platforms, and point-of-sale systems to identify trends and opportunities
• Develop and maintain dashboards linking customer metrics such as retention, conversion, and lifetime value to business performance
• Deliver insight to support campaign targeting, segmentation, and personalisation strategies
• Conduct pre and post campaign analysis to measure performance, uplift, and return on investment
• Apply sentiment analysis and key driver techniques to customer feedback and survey data
• Support lifecycle strategy by identifying churn risk, improving recall performance, and increasing engagement
• Partner with marketing, product, and operational teams to translate insight into actionable strategies
• Present clear, commercially focused insights to stakeholders across the business
• Ensure all analysis complies with data protection and governance standards

Your Skills & Experience

• Strong commercial experience in customer insight, CRM analytics, or marketing analytics
• Proficiency in SQL and Python for data analysis and manipulation
• Experience with data visualisation tools such as Power BI or Tableau
• Solid understanding of segmentation, lifecycle management, and retention metrics
• Experience working with CRM and marketing technology platforms across email, SMS, or direct channels
• Ability to analyse and interpret customer survey data, including sentiment and satisfaction metrics
• Strong communication skills with the ability to translate complex data into clear business insight
• Comfortable working with cross-functional stakeholders in a fast-paced environment

What They Offer

• Opportunity to work on high-impact customer analytics projects
• Clear progression within a growing data and analytics function
• Collaborative and supportive working environment

How to Apply

If you are interested in this Customer Insight Analyst role, please apply with your CV to discuss further.

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Senior Credit Risk Modeller (6 Month FTC)
London
£100,000 pro rata

This is a high-impact opportunity to lead the redevelopment of core credit risk models within a growing banking environment. You will take ownership of a key transformation project, enhancing model sophistication and regulatory alignment.

The Company
They are a UK-based specialist lender operating across real estate and asset finance. The business has grown significantly in recent years and is investing in strengthening its credit risk capabilities. You will join a small, high-visibility team with strong stakeholder exposure.

The Role

• Lead redevelopment of credit rating, ICAAP, and stress testing models
• Enhance PD, LGD, and expected loss frameworks across portfolios
• Improve model governance, consistency, and risk sensitivity
• Partner with credit, risk, and finance stakeholders
• Support transition from Excel to Python or R-based modelling

Your Skills & Experience

• Strong experience building credit risk models such as scorecards, ICAAP, stress testing, or IFRS 9
• Solid understanding of PD, LGD, and EAD methodologies
• Experience within banking or financial services
• Python or R proficiency alongside advanced Excel
• Ability to lead projects and communicate with senior stakeholders

What They Offer

• £100,000 FTC salary (6 months)
• High-impact project ownership
• Collaborative team with strong growth plans

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Platform Engineer
London, Hybrid (3 days on-site)
Up to £150,000 + Equity + Benefits

This is a rare opportunity to join an early-stage, high-calibre team building in one of the most exciting areas of the AI ecosystem. The business is tackling a complex and emerging market, creating a platform that brings greater transparency and efficiency to infrastructure powering modern AI systems. You will play a critical role in shaping both the platform and the engineering culture from the ground up.

The Company
They are a well-funded, early-stage technology business operating at the intersection of AI infrastructure and financial markets. Backed by leading investors and led by a highly experienced founding team, they are focused on building a new category of platform within a rapidly growing space. The team combines expertise across engineering, data science, and trading, with a strong track record of building and scaling successful products. This is a pivotal growth phase as they expand both their product and technical capabilities.

The Role
You will be the first dedicated Platform Engineer, working closely with the founding team to design and deliver the core platform. This is a hands-on role with significant ownership and influence over technical direction.

• Design, build, and maintain a scalable trading platform on Google Cloud Platform
• Own and optimise deployment processes for reliability and performance
• Develop and manage services running within Kubernetes environments
• Build and scale infrastructure using Terraform and infrastructure-as-code principles
• Contribute to backend development using Python and PostgreSQL
• Collaborate with founders and data teams to solve complex technical challenges
• Help shape technical strategy and influence future hiring and engineering standards

Your Skills & Experience

• Strong commercial experience building and scaling distributed systems in production
• Deep knowledge of cloud platforms, ideally GCP, alongside Kubernetes and Terraform
• Expertise in backend engineering using Python and relational databases such as PostgreSQL
• Experience implementing robust deployment and CI/CD pipelines
• Ability to operate in a fast-paced environment with a high level of ownership
• A mindset focused on impact, problem-solving, and continuous learning
• Exposure to trading systems, financial platforms, or regulated environments is beneficial but not required
• Interest in leveraging modern AI development tools to improve productivity

What They Offer

• Up to £150,000 base salary
• Equity package with strong long-term upside
• Hybrid working model based in a central London office
• Opportunity to work directly with an experienced founding team
• Significant scope to shape the platform, product, and engineering direction
• Clear progression as the company scales and builds out its engineering function

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Role Title
Senior Strategy & Analytics Manager

Salary
£90,000-£120,000

Location + work pattern
London (Hybrid – 3 days in office)

The Company:

• A fast-growing FinTech
• Established player in the UK market with strong investment backing and international growth plans
• A data-driven business with a strong focus on innovation, performance, and customer outcomes

The Role

• A high-impact strategic analytics role focused on optimising collections and recoveries performance
• Combining deep data analysis with commercial thinking to influence key business decisions

Specifically, you can expect to be involved in:

• Developing and improving collections and recoveries strategies using data-driven insights
• Analysing large and complex datasets to identify trends and performance opportunities
• Partnering with teams across operations, finance, product and engineering
• Balancing commercial performance with customer outcomes
• Managing and mentoring junior team members

Your Skills and Experience

• Proven experience in analytics or data-led strategy roles (5+ years)
• Strong SQL skills with the ability to work with complex, multi-source datasets
• Ability to translate data into clear, actionable insights
• Experience in fast-paced, commercial environments such as financial services or consulting
• Strong stakeholder management and communication skills
• Stem degree from a top university

The Benefits

• Competitive salary with bonus or equity potential
• Hybrid working with flexibility
• Generous annual leave allowance
• Learning and development support
• Clear progression opportunities within a growing business

The Process

• Initial interview focusing on experience and motivations
• Technical SQL assessment
• In-person case study and technical discussion
• Final leadership interview
• Offer!

How to Apply
Please register your interest via the apply link on this page.

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Role Title
Risk Pricing Manager

Salary
£65,000-£80,000 + benefits

Location + work pattern
Leicester (1 day a week)

THE COMPANY
This organisation is a well-established digital insurer with a strong focus on data, analytics, and innovation. They are continuing to invest in pricing and analytics to improve decision-making and enhance customer outcomes in a highly competitive market.

THE ROLE
This is a leadership role within a home pricing team, responsible for delivering pricing insights and driving improvements to risk and commercial performance. You will balance team leadership with hands-on analytical work, contributing to both pricing strategy and execution.
Specifically, you can expect to be involved in:

• Leading and developing a small team of analysts, providing guidance, coaching and prioritising workloads
• Analysing customer, market and risk data to identify opportunities to enhance pricing performance
• Enhancing and refining pricing models using new data sources and analytical techniques
• Translating insights into actionable pricing strategy recommendations
• Collaborating with actuarial, data science and commercial teams to optimise pricing decisions

YOUR SKILLS AND EXPERIENCE

• Experience in pricing, analytics or a related field within insurance or a data-driven environment
• Strong analytical capability with experience working with large datasets and statistical models
• Working knowledge of Python, R or similar coding languages, plus SQL skills
• Ability to interpret data and translate findings into clear commercial recommendations
• Strong communication skills and the ability to engage with both technical and non-technical stakeholders
• Experience managing or mentoring analysts, or a clear interest in developing leadership skills

THE BENEFITS

• Hybrid working model with flexibility
• Annual bonus scheme
• Private medical insurance and life assurance
• Pension contributions and broader financial wellbeing support
• Generous annual leave plus additional flexible benefits

THE PROCESS

• Initial screening conversation
• First stage interview
• Technical case study stage
• Final stage discussion
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page.

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Head of Analytics and Data Science

London, hybrid (2 to 3 days per week)

The Company
They are a well known, consumer focused organisation operating across multiple business units and partner networks. Despite strong brand recognition, the central team operates with a lean, agile, and entrepreneurial mindset similar to a scale up. Data is a key focus area, with significant investment in building a modern, insight driven organisation. Their work spans loyalty programmes, customer engagement, and commercial performance.

The Role
You will lead the combined Analytics and Data Science function, with responsibility for strategy, delivery, and stakeholder engagement across the business.
Key responsibilities include:
* Bringing together separate Analytics and Data Science teams into a unified function
* Leading and developing a team of managers and specialists across analytics and data science
* Setting the roadmap for customer focused data initiatives, including loyalty and pricing optimisation
* Driving adoption of self service analytics and improving data accessibility across the organisation
* Leading the overhaul and optimisation of dashboards and reporting frameworks
* Partnering with senior stakeholders across multiple business units to influence decision making

Your Skills and Experience
* Strong commercial experience leading both Analytics and Data Science functions
* Proven ability to define and execute data strategies in consumer focused organisations
* Experience delivering data transformation programmes, including self service analytics and reporting improvements
* Background in customer analytics, loyalty, or pricing related use cases
* Strong stakeholder management skills, with experience influencing senior leadership
* Solid technical grounding in data science and analytics, with the credibility to guide teams and review outputs

What They Offer
* Bonus and competitive benefits package
* Hybrid working model with a central London office
* Opportunity to shape a key function within a growing data organisation
* High visibility role with influence across multiple business areas
* Clear scope to drive transformation and long term impact

How to Apply
If you are interested in leading a data function at the intersection of analytics, data science, and AI, apply now to find out more.

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AI Engineer

London (Soho, hybrid, 2 days per week)

The Company
They are a well established media business with a significant infrastructure footprint spanning physical and digital assets. Operating across multiple verticals, they have a strong market position and continue to grow through investment and acquisition. The organisation is now rebranding and investing heavily in digital, data, and AI capabilities to modernise operations and unlock new efficiencies. Their current focus is on building internal AI use cases, with future plans to expand into customer facing products.

The Role
You will be responsible for shaping and delivering AI solutions from concept through to production within a growing function.
Key responsibilities include:
* Designing and implementing AI solutions to improve operational efficiency
* Defining LLM architecture and selecting the appropriate AI stack
* Building and deploying AI tools such as assistants and workflow automation solutions
* Developing document processing capabilities to support real world use cases such as contract and tender analysis
* Working within an Azure cloud environment and applying best practices in MLOps and DevOps
* Collaborating closely with product teams and senior leadership, including acting as a key partner to the Director of AI

Your Skills and Experience
* Strong commercial experience in AI engineering or machine learning, ideally evolving from a data science background
* Proven experience building and deploying LLM based applications in production environments
* Experience working with cloud platforms and modern deployment practices, ideally within Azure
* Knowledge of DevOps or MLOps principles
* Ability to define architecture and build AI solutions end to end
* Strong communication skills and experience working with a range of stakeholders

What They Offer
* Hybrid working with a central London office
* Opportunity to shape AI strategy at an early stage
* Exposure to large scale, real world AI challenges
* Clear progression as the AI function continues to grow

How to Apply
If you are interested in building and scaling AI solutions within an enterprise environment, apply now to find out more.

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