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Agentic AI Software Engineer

Hybrid, Houston (4 days per week in office)

About the Role

You’ll design and build AI agents that reason across complex workflows, interact with enterprise tools and systems, and take action on behalf of users. This includes intelligent support agents that understand user intent, retrieve information, and resolve or escalate requests, along with the applications, data pipelines, and infrastructure that support them.

What You’ll Do

Agent Development

• Design and build AI agents and agentic workflows combining LLMs, APIs, RAG, and business logic
• Build secure integrations with enterprise applications, databases, and knowledge sources
• Develop agent memory, context, guardrails, and evaluation frameworks for reliable production use

Application Development

• Build user facing applications and backend services that power AI agent experiences
• Own features end to end, from backend and AI orchestration through frontend experience
• Ensure applications and agentic systems are scalable, secure, and enterprise ready

Data & Infrastructure

• Build data pipelines, ETL workflows, and integrations with the Databricks Lakehouse platform
• Build RAG pipelines enabling agents to retrieve and reason over enterprise data
• Implement CI/CD, testing, observability, and monitoring across AI and application systems

What You’ll Need

• Bachelor’s degree in computer science, Software Engineering, or a related field
• 8+ years building production grade software, including recent, dedicated experience building AI agents and agentic workflows
• Experience with LLMs, RAG, tool calling, or agent orchestration frameworks
• Full stack development experience, including APIs, backend services, and frontend applications
• Experience designing agent memory, context, retrieval, or evaluation systems

Compensation & Benefits

Up to $180,000

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Senior Data Engineer

Hybrid | Addison, TX (3 Days Onsite) $140,000 – $160,000 Base Salary U.S. Citizens & Green Card Holders Only

Shape the Data Foundation of a High-Growth, PE-Backed Organization

We’re partnering with a rapidly growing, private equity-backed services organization undergoing a major data transformation. Following a period of significant acquisition-driven growth, the company is investing heavily in modernizing its data platform, creating a rare opportunity for a hands-on Data Engineer to help build a scalable enterprise data ecosystem from the ground up.

This is not a maintenance role.

You’ll join at the beginning of a large-scale modernization initiative, working directly alongside an implementation partner to stand up a brand-new Snowflake environment, establish data architecture and governance standards, and build the pipelines and transformations that will power reporting, analytics, and future AI initiatives.

If you’re someone who enjoys creating structure from complexity, influencing data strategy, and owning systems end-to-end, this role offers exceptional visibility and long-term growth potential.

What You’ll Be Doing

• Partner with consultants and internal stakeholders to design and implement a new enterprise data platform centered around Snowflake
• Build and maintain scalable ELT pipelines using modern cloud data technologies
• Develop, optimize, and support dbt models and transformation frameworks
• Own backend data workflows from source system ingestion through reporting and analytics consumption
• Help establish data governance, cataloging, documentation, and quality standards
• Integrate data from multiple business systems into a centralized warehouse environment
• Support Domo reporting and analytics initiatives by delivering clean, trusted datasets
• Define best practices, architecture standards, and processes that will remain in place long after implementation is complete
• Collaborate with both technical and business stakeholders to ensure reporting consistency and data integrity across the organization

Key Technologies

Current & Future Stack

• Snowflake
• dbt
• Fivetran
• Domo
• Cloud Data Warehousing
• ELT / ETL
• Data Cataloging & Governance

What We’re Looking For

• 7+ years of experience in data engineering, data warehousing, or related data platform roles
• Strong experience building and supporting modern cloud data warehouse environments
• Hands-on Snowflake experience
• Proven expertise with dbt and data transformation frameworks
• Experience building and maintaining ELT/ETL pipelines
• Understanding of data architecture, modeling, and governance principles
• Experience supporting analytics and reporting teams through trusted datasets
• Ability to communicate effectively with both technical and non-technical stakeholders
• Comfortable working in environments where processes, standards, and data maturity are still evolving

Nice to Have

• Fivetran expertise
• Data catalog implementation experience
• Medallion Architecture exposure
• Experience participating in cloud modernization initiatives
• Exposure to Snowflake Cortex or AI-enabled data products

Why This Opportunity Stands Out

• High-impact greenfield data environment with significant ownership
• Opportunity to influence enterprise-wide data strategy and architecture
• Work directly with executive leadership on a highly visible transformation initiative
• Join during a critical platform implementation and become the long-term owner of the environment
• Clear growth trajectory as the organization continues to invest in data and AI capabilities
• Collaborative team with the ability to shape standards, processes, and future hiring decisions

Logistics

Location: Addison, TX

Schedule: Hybrid (Tuesday, Wednesday, Friday onsite)

Compensation: $140,000 – $160,000 base salary

Work Authorization: U.S. Citizen or Green Card Holder required. No current or future sponsorship available.

Target Start Date: October 2026

Interested? This is an opportunity to help build the data foundation for a growing enterprise while positioning yourself at the center of its long-term analytics and AI roadmap.

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Full Stack Engineer

Up to £85,000

London (2 days a week in office)

This is an exciting opportunity to join a fast-growing technology business that is transforming how people engage with and manage their finances. You’ll work on a modern product, collaborate with highly skilled engineers, and play a key role in delivering innovative software in an AI-first engineering environment.

THE COMPANY

They are a high-growth technology organisation developing innovative digital products that help users make better decisions through data, analytics, and intuitive technology. Operating within a collaborative, cross-functional environment, they combine modern engineering practices with a strong focus on user experience and product excellence. Their teams work closely across technology, data, and operations to deliver scalable solutions and drive continuous innovation.

THE ROLE

As a Full Stack Engineer, you will join a cross-functional engineering squad, taking ownership of key areas of a client-facing web application while contributing across the software development lifecycle.

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

• Building and delivering new features within a modern web application using React, JavaScript, and TypeScript.
• Developing high-quality, scalable, and reusable code with a strong focus on performance and user experience.
• Collaborating with product, engineering, and operational teams to deliver business-critical functionality.
• Contributing to backend development when required, working with microservices and cloud-based technologies.
• Using AI-assisted development tools throughout the engineering lifecycle, including design, implementation, testing, and code review.
• Participating in agile delivery processes, sprint planning, estimation, testing, and releases.
• Helping to improve engineering standards, software quality, scalability, and operational efficiency.

SKILLS AND EXPERIENCE

The successful Full Stack Engineer will have the following skills and experience:

• Strong commercial experience developing front-end applications with JavaScript and TypeScript.
• Excellent knowledge of React and modern state management approaches.
• Practical experience using AI-assisted or agentic coding tools within software development workflows.
• Strong ability to review, test, and improve AI-generated code while maintaining high engineering standards.
• Knowledge of testing frameworks and test-driven development principles.
• Experience working with APIs and modern integration technologies, including GraphQL.
• Familiarity with CI/CD pipelines, cloud environments, and software documentation.
• Experience with Java or Kotlin, Spring Boot, microservices, PostgreSQL, Kafka, Docker, AWS, and Kubernetes would be highly beneficial.
• Strong communication skills and the ability to thrive in a collaborative environment.

BENEFITS

The successful Full Stack Engineer will receive the following benefits:

• Salary up to £85,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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DATA ANALYST
REMOTE (UK)
UP TO £55,000

This is an excellent opportunity for a commercially minded Data Analyst with a strong finance background to join a growing, data-driven organisation. Sitting within a small finance team and reporting to the Finance Director, you’ll play a key role in improving reporting, strengthening data quality, and supporting business decision-making through financial and operational insights.

ROLES AND RESPONSIBILITIES:
The Dtaa Analyst will:

• Own and develop finance reporting and management information.
• Support quarterly forecasting processes and maintaining financial models covering forecasts, business plans, and cash flow.
• Reconcile data across Xero, SQL, and Power BI environments.
• Manage and uploading finance and operational data.
• Produce board-level reporting on cash performance, operational metrics, and key business KPIs.
• Analyse large datasets to identify trends, variances, and performance against expectations.
• Build new reports and enhancing existing reporting processes.
• Investigate data discrepancies and ensuring data integrity.
• Collaborate with finance, technology, and data stakeholders to improve reporting capabilities.

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

• Strong accounting or finance background with experience in financial analysis and reporting.
• Advanced Excel skills, including financial modelling and data analysis.
• Practical experience using SQL and Power BI.
• Experience working with large datasets, reconciliations, and data validation.
• Ability to interpret financial and operational data and communicate findings clearly.
• Comfortable working in a hands-on environment and taking ownership of processes.
• Strong attention to detail and problem-solving capabilities.
• Able to engage effectively with both technical and non-technical stakeholders.

APPLY BELOW!

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Data Analyst
London remote | £50,000 – £55,000
Must have full right to work in the UK

This is an exciting opportunity for a commercially minded Data Analyst to join a growing organisation at a pivotal stage of its journey. Combining finance, reporting, and data analysis, the role offers genuine ownership, exposure to senior stakeholders, and the chance to shape reporting processes that directly support business growth and decision-making.

The Company

They are a fast-growing organisation operating in a highly data-driven environment, delivering services at scale through a technology-enabled model. Working across multiple complex contracts and service streams, they rely on accurate reporting and insight to support strategic decisions and long-term growth. As the business continues to expand, they are investing in their finance and data capabilities to improve visibility, efficiency, and performance.

The Role

As a Data Analyst, you will sit within a small finance team and work closely with senior stakeholders to manage reporting, analysis, and data processes across the business.

You will:

* Own and develop finance reporting and management information
* Support forecasting cycles and maintain large-scale financial models covering forecasts, planning, and cash flow
* Reconcile data across multiple systems, including Xero, SQL, and Power BI
* Upload, manage, and maintain finance and operational datasets
* Produce board-level reporting on financial performance, operational metrics, and contract activity
* Analyse volumes, performance trends, and operational data against forecasts and expectations
* Build new reports and dashboards while enhancing existing reporting processes
* Investigate and resolve data discrepancies to ensure data accuracy and integrity
* Partner with finance, technology, and operational stakeholders to improve reporting capabilities and decision-making

Your Skills & Experience

You will have:

* Strong experience in a finance, accounting, or financial analysis role
* Advanced Excel skills, including financial modelling and reporting
* Practical experience using SQL and Power BI for reporting and data analysis
* Experience working with large, complex datasets and performing reconciliations
* Strong analytical and problem-solving skills with excellent attention to detail
* The ability to communicate insights clearly to both technical and non-technical stakeholders
* A proactive and organised approach, with the confidence to take ownership of processes and improvements

What They Offer

* Salary of £50,000 – £55,000
* Remote working arrangement
* Direct exposure to senior leadership and key business stakeholders
* The opportunity to shape and develop reporting processes in a growing organisation
* A varied role spanning finance, analytics, reporting, and business performance
* Strong opportunities for professional development and career progression

How to Apply

If you’re a Data Analyst with strong Excel, SQL, and Power BI skills, apply today to learn more about this opportunity.

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Senior Pricing Analyst
West Midlands/London
45-60K

If you’re looking for a Senior Pricing Analyst role where your work has visible commercial impact and genuine ownership, this is an excellent opportunity to join a highly analytical business that continues to invest heavily in data, pricing, and technology. You’ll work on strategic pricing initiatives, partner with a range of stakeholders, and help shape pricing decisions across multiple insurance products.

The Company
They are a well-established, technology-driven organisation with a strong reputation for using data and analytics to drive business performance. Over recent years they have made significant investment in their pricing, analytics, and data science capabilities, creating an environment where analytical thinking is highly valued.
With ambitious growth plans and a collaborative culture, they offer the opportunity to work alongside experienced analysts, pricing specialists, and data professionals on business-critical projects. Their pricing function plays a central role in commercial strategy and decision-making.

The Role

• Developing pricing analysis and segmentation strategies across a range of products
• Evaluating portfolio performance and identifying opportunities for optimisation
• Delivering actionable insights to support commercial and strategic decisions
• Monitoring pricing performance and recommending improvements
• Leading or contributing to end-to-end analytical projects
• Working closely with stakeholders across pricing, product, underwriting, and analytics teams
• Supporting innovation within pricing and helping enhance analytical capabilities
• Mentoring and guiding junior analysts where appropriate

Your Skills & Experience

• Previous experience in pricing analytics, pricing strategy, or a related analytical function
• Strong commercial problem-solving and analytical skills
• Experience using Python or SQL
• Ability to communicate complex findings to non-technical stakeholders
• Experience managing projects from inception through to delivery
• Strong stakeholder management and relationship-building capabilities
• Curious, proactive, and motivated to drive improvements through data
• Insurance pricing experience is beneficial but not essential

What They Offer

• Annual bonus opportunity of up to 10%
• Matched pension contributions up to 10%
• Healthcare cash plan and additional medical benefits
• 25 days annual leave plus bank holidays
• Hybrid working model
• Ongoing training, development, and clear career progression opportunities
• Exposure to large-scale pricing and analytics projects within a growing function

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Senior Data Engineer / Analytics Engineer
Downtown San Francisco | Hybrid (4 days onsite)

What You’ll Do

Data Engineering & Infrastructure

• Design, build, and maintain data pipelines from ingestion through transformation and delivery
• Own data modeling and transformation across the firm’s core data sources
• Build and maintain a reliable, scalable data infrastructure from the ground up
• Ensure data quality, consistency, and governance across systems

Analytics & Business Partnership

• Serve as the primary technical translator between data systems and non-technical business stakeholders
• Partner with wealth management, finance, operations, and leadership teams to understand data needs and deliver solutions they can actually use
• Build reporting and analytics capabilities that give the business clear visibility into performance and client data
• Communicate complex data concepts in plain language – confidently and clearly

AI & Modern Tooling

• Leverage AI tools to improve productivity and analytical output – familiarity with tools like Glean expected
• Contribute to the firm’s evolving AI initiatives as they develop
• Stay current on relevant AI and data tooling and bring practical recommendations to the team

What We’re Looking For

Required

• Strong proficiency in Python and SQL
• Hands-on experience with data modeling, transformation, and pipeline development
• Ability to work independently as the primary or sole data practitioner – this is not a large team environment
• Confident communicator – comfortable presenting to and advising non-technical stakeholders including senior leadership
• High EQ – personable, collaborative, and able to build trust with people across the organization
• 4 days per week onsite availability in downtown San Francisco

Strongly Preferred

• Background in finance, wealth management, or financial services
• Experience at a private equity-backed company or PE rollup environment
• Familiarity with wealth management workflows, data structures, and reporting needs
• Experience as the sole or primary data person at a company – someone who has had to be resourceful, self-directed, and scrappy
• Exposure to AI tools in a professional context (Glean or similar)

Compensation

• Base salary: $185,000 – $235,000
• Discretionary bonus
• Downtown San Francisco office – hybrid, 4 days onsite per week

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Product Owner, Knowledge Graphs

Amsterdam (Hybrid) | €70,000 – 75,000 + Benefits

Are you passionate about turning complex legal knowledge into intelligent, scalable digital products?

This is an opportunity to join a forward-thinking organisation at the intersection of LegalTech, Data, and AI, where you will shape the roadmap for a knowledge graph platform that supports legal professionals in making faster, better-informed decisions.

The Company

They are a well-established professional services organisation investing heavily in data and AI-driven innovation. Their teams work on complex information challenges, developing products that transform how knowledge is captured, connected, and consumed.

With a strong focus on emerging technologies, they are building advanced knowledge management capabilities that enable better search, discovery, and insight generation. This role sits within a growing product function with significant visibility and impact across the business.

The Role

As Product Owner, you will lead the development and evolution of a knowledge graph platform designed to connect legal data, documents, expertise, and processes.

Key responsibilities include:

• Own and prioritise the product backlog for knowledge graph and semantic data initiatives
• Translate business and user needs into clear product requirements and user stories
• Work closely with data engineers, knowledge engineers, software developers, and legal subject matter experts
• Define and communicate product vision, roadmap, and delivery priorities
• Drive adoption of graph technologies to improve search, discovery, and knowledge management capabilities
• Balance stakeholder requirements with technical feasibility and strategic objectives
• Monitor product performance and user feedback to inform future enhancements
• Support the delivery of AI and data products that leverage structured knowledge assets

Your Skills & Experience

• Strong commercial experience as a Product Owner, Product Manager, or similar product leadership role
• Experience delivering data, AI, analytics, or knowledge management products
• Understanding of knowledge graphs, semantic technologies, ontology management, or graph databases such as Neo4j
• Ability to engage effectively with both technical and non-technical stakeholders
• Experience gathering requirements and translating them into actionable product roadmaps
• Strong prioritisation and decision-making capabilities
• Familiarity with Agile delivery methodologies and product development best practices
• Interest in LegalTech, professional services, enterprise knowledge management, or information retrieval

What They Offer

• Salary of €70,000 – 75,000 depending on experience
• Performance-related bonus
• Comprehensive benefits package
• Hybrid working model based in Amsterdam
• Exposure to cutting-edge AI, data, and knowledge graph technologies
• Clear career progression within a growing product and innovation function
• Opportunity to influence the direction of a business-critical platform

How to Apply

If you are a Product Owner with experience in knowledge graphs, semantic technologies, or data-driven products and are looking to make a meaningful impact within an innovative legal environment, apply today to learn more.

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Head of Commercial Analytics

London (Hybrid – 3x Days a Week in Office)

£120,000-£140,000

Are you a commercially minded analytics leader who wants to own pricing, shape commercial strategy and influence the growth of a rapidly scaling fintech? This is an opportunity to join a high-growth subscription business at the intersection of consumer technology, fintech and sustainability. You’ll take ownership of commercial analytics and unit economics, using data to drive pricing decisions, maximise profitability and shape how the business grows. With major brand partnerships, a growing customer base and ambitious international plans, this is a chance to have a genuine impact on a business redefining how consumers access technology!

The Company

This innovative subscription and leasing platform is transforming how consumers and businesses access premium electronics. Rather than purchasing devices outright, customers can subscribe to technology through affordable monthly payments. The business has evolved beyond traditional leasing and now supports a wide range of consumer electronics, including laptops, tablets, gaming consoles, wearables and TVs. Its mission is to make technology more affordable, accessible and sustainable, helping drive the transition towards a circular economy; devices can be returned, refurbished, re-leased and ultimately recycled, extending their lifecycles and reducing e-waste. The business has built proprietary technology across credit and fraud decisioning, pricing, lifecycle operations and financing. It works with leading electronics brands to power subscription programmes and has developed a growing presence in embedded finance; with over $90m ARR, profitability and more than a quarter of a million subscriptions across consumers and small businesses, the company is continuing to scale. Its partnerships include major global electronics brands, with further growth and international expansion ahead.

The Role

As Head of Commercial Analytics, you’ll be the business lead on commercial analytics, pricing and unit economics. Working closely with the VP of Strategy & Analytics, senior leadership, co-founders, Product, Finance, Risk, Sales and Partnerships, you’ll own how pricing decisions are made across the business. This is a strategic and hands-on role; you’ll use SQL and Python to get into the detail, build commercial models and turn complex analysis into clear recommendations that influence growth and profitability. Your focus will be on understanding where the business can create more value through pricing, product development and commercial partnerships.

What You’ll Do

• Own the pricing test programme across the consumer website and partner checkouts, designing and running experiments across price points, subscription terms, upfront versus monthly payments and promotional mechanics.
• Use data to understand the impact of pricing decisions on conversion, churn, margin and customer lifetime value.
• Build robust measurement frameworks, including sample sizing and guardrail metrics, to distinguish genuine conversion improvements from margin transfer.
• Partner with Product to develop and price ancillary products, including insurance, damage cover, accessories and additional services.
• Size commercial opportunities, model take-up and margin, and understand the impact of new products on customer behaviour and profitability.
• Work with Finance and Risk to understand the full economic chain, including attachment rates, claims or cost experience, churn and residual value.
• Support Sales and Partnerships on new OEM deals, building commercial models and helping design subscription propositions that work for both Raylo and its partners.
• Own the pricing framework across categories, incorporating customer segmentation, residual value, credit performance and lifetime value.
• Build tools and processes that make pricing decisions faster and more effective, leveraging the existing data and technology stack.
• Work closely with senior leadership and co-founders to identify the next commercial opportunities and drive data-led decision-making.

Your Skills & Experience

• Extensive experience in analytics, commercial strategy, pricing analytics, data science or a related data-focused discipline.
• Strong SQL skills are essential, with the ability to work directly with complex datasets and answer commercial questions independently.
• Python experience is desirable.
• Proven experience using data to influence pricing, profitability, commercial strategy or customer growth.
• Strong understanding of commercial metrics such as conversion, churn, margin, customer lifetime value and unit economics.
• Experience designing and analysing experiments, with a clear understanding of statistical measurement and commercial impact.
• Ability to move between hands-on technical analysis and strategic thinking.
• Strong stakeholder management skills, with the confidence to present recommendations to senior leadership and defend the numbers.
• A curious, analytical and commercially minded approach, with the ownership and drive to make things happen in a fast-paced scale-up environment.

The Benefits

• £120,000-£140,000
• Stock options

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

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Director of GTM Data Science

Overview

A growing technology organisation is seeking a senior data leader to define and execute the strategy for Go-To-Market analytics and data science. Reporting into the head of data, this role will lead a team of analysts and data scientists while partnering closely with executive stakeholders across revenue-generating functions.
The successful candidate will be responsible for establishing data-driven decision-making frameworks, governing key business metrics, driving predictive modelling initiatives, and enabling sustainable growth through advanced analytics and experimentation.

Key Responsibilities

Strategic Leadership & Data Strategy

• Partner with senior leaders across sales, marketing, revenue operations, customer success, and finance to align analytics priorities with business growth objectives.
• Develop and own a multi-year GTM analytics and data science roadmap focused on acquisition, retention, expansion, and operational effectiveness.
• Establish governance standards and definitions for critical business metrics, including customer acquisition, customer value, conversion performance, retention, and funnel analytics.
• Translate complex business questions into structured analytical initiatives and prioritise work based on strategic impact and return on investment.
• Influence organisational decision-making through data-driven insights and recommendations.

Data Science & Advanced Analytics

• Provide technical leadership for predictive and statistical modelling initiatives, including:
  • Customer lifetime value modelling
  • Lead and prospect scoring
  • Attribution analysis
  • Marketing effectiveness measurement
  • Sales prioritisation and propensity modelling
• Guide experimentation programmes using A/B testing, causal inference, and advanced analytical methodologies.
• Partner with operational and technology teams to improve data quality, instrumentation, and measurement capabilities.
• Promote adoption of AI-enabled workflows and modern analytical tools to enhance team productivity and innovation.
• Ensure statistical rigour and best practices through technical reviews, mentorship, and coaching.

Team Leadership & Organisational Impact

• Lead, mentor, and develop a team of analytics and data science professionals.
• Foster a culture of accountability, continuous learning, collaboration, and technical excellence.
• Drive organisational transformation by improving analytical maturity and strengthening cross-functional partnerships.
• Help establish scalable processes, operating models, and frameworks that support business growth and data-driven decision making.

Required Qualifications

• 7+ years of experience in data science, business analytics, revenue analytics, or a related field.
• 3+ years of experience managing and developing analytics or data science teams.
• Strong expertise in B2B SaaS, subscription-based businesses, revenue operations, sales analytics, or marketing analytics.
• Demonstrated success influencing senior executives and business leaders through data-driven recommendations.
• Ability to evaluate and guide advanced analytical approaches, modelling assumptions, and technical implementations.
• Strong proficiency in SQL and the ability to review and assess Python-based analytical solutions.
• Deep knowledge of:
  • Machine learning and predictive modelling
  • Experimental design and A/B testing
  • Statistical analysis
  • Causal inference methodologies
• Excellent communication, stakeholder management, and strategic influencing skills.
• Proven ability to thrive in fast-paced, evolving environments with ambiguity and changing priorities.

Preferred Qualifications

• Experience with modern cloud data andanalytics platforms such as:
  • Snowflake
  • Databricks
  • dbt
  • Airflow
• Experience implementing measurement frameworks and improving data instrumentation.
• Familiarity with AI-assisted analytics, development tools, and workflow optimisation.

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Data Analyst (Finance)

£50,000-£55,000
London (Hybrid / Flexible)

I’m hiring a Data Analyst for a fast-growing healthcare technology business helping reduce patient waiting lists and improve access to clinical services.

This is a genuinely unique role sitting between finance, analytics, and operational reporting, offering plenty of ownership and exposure to senior stakeholders.

The company

A healthcare technology and services business. The business already supports multiple major contracts and continues to grow rapidly, generating large volumes of operational and financial data that underpin commercial decision-making.

The role

This role combines:

• Finance reporting
• Data analysis
• Financial modelling
• Business intelligence
• Data management

You’ll work closely with Finance, IT, and Data teams to ensure reporting is accurate, scalable, and commercially useful.

There is currently a significant volume of historic data that needs reviewing, reconciling, and loading into reporting systems, so this role will suit someone who enjoys getting hands-on with data while also improving processes and reporting frameworks.

What you’ll be doing

• Own and develop finance reporting and management information.
• Maintain forecasting, cash flow, and business planning models.
• Reconcile data across Xero, SQL and Power BI.
• Analyse patient activity, contract performance, volumes, and financial outcomes.
• Produce reporting for senior leadership covering:
  • Cash performance
  • Contract performance
  • Patient volumes
  • Forecasts and business performance
• Investigate discrepancies across large datasets and improve data quality.
• Build new reports and improve existing reporting processes.
• Partner closely with Finance and IT to improve analytical capability across the business.

What they’re looking for

Must-haves

• Strong background in finance analysis or supporting finance stakeholders
• Strong SQL, Power BI, and Excel skills
• Experience working with large datasets and reconciliations
• Ability to turn data into meaningful commercial insight
• Strong attention to detail

Nice to have

• Experience with Xero
• Healthcare, NHS, or service-based businesses
• Experience working in growing or scale-up environments

Why join?

• Work directly with the Finance Director and senior leadership team
• Significant ownership from day one
• Opportunity to improve and redesign reporting processes
• Exposure to complex healthcare contracts and commercial decision-making
• Blend of finance, analytics, and technology
• Join a growing healthcare technology business making a genuine impact

Interview process

• First interview with senior finance leadership
• Final interview with finance and data stakeholders

If you’re somebody who enjoys combining finance, reporting, SQL, Power BI, and commercial insight, this is a fantastic opportunity to join a growing business where your work will have visible impact from day one.

To Apply for this Job Click Here