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Senior Manager, Data & Analytics

Finance Transformation & AI
Chicago, IL (Hybrid)
Permanent

We are partnering confidentially with a global manufacturing organisation operating at significant scale across North America and internationally. The business is investing heavily in data, analytics, and AI to support finance transformation and enterprise decision‑making.

This is a high‑visibility leadership role with regular exposure to senior executives and ownership of analytics strategy across finance and the wider organisation.

The opportunity

You will lead the development and execution of a comprehensive data and analytics strategy, enabling improved financial insight, forecasting, and performance management. The role sits at the intersection of Finance, IT, and senior leadership, with responsibility for analytics foundations, governance, reporting automation, and advanced analytics including AI applications.

This is not a reporting‑only role. You will be responsible for shaping analytics capability, defining priorities, and ensuring insights translate into real business impact.

Key responsibilities

• Develop and deliver an enterprise‑level data and analytics strategy aligned to financial and business objectives
• Support finance transformation through advanced analytics, automation, and insight delivery
• Partner closely with IT to align data foundations, systems, and analytics roadmaps
• Lead reporting modernisation, including dashboards and KPI frameworks for senior stakeholders
• Establish and enforce data governance standards within the finance function
• Act as finance owner for key financial systems and analytics tools
• Partner with FP&A on predictive and prescriptive analytics for forecasting and strategic planning
• Support the creation and coordination of AI governance, use cases, and oversight
• Deliver ad‑hoc analysis and executive‑level insights to support decision‑making

What we’re looking for

• Extensive experience in data and analytics, with strong alignment to finance, FP&A, or commercial functions
• Proven background leading analytics strategy rather than just execution
• Strong stakeholder management skills, including regular interaction with senior leadership
• Experience with data visualisation, modelling, and modern analytics platforms
• Comfortable operating in complex, matrixed environments
• Manufacturing, industrial, or asset‑heavy experience is advantageous but not essential

Why apply

This role offers the chance to shape analytics capability at scale, influence senior decision‑making, and play a central role in a long‑term transformation agenda. It suits someone who wants ownership, visibility, and the opportunity to build sustainable analytics foundations rather than short‑term fixes.

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Staff Data Scientist

Location: New York City (Hybrid)

Compensation: Up to $250,000 base + bonus + equity

Company Overview

A high-growth consumer fintech and e-commerce platform is building the credit infrastructure powering digital commerce in a large, underserved market. The business has reached profitability, processes hundreds of millions in annual transaction volume, and continues to scale rapidly with strong backing from top-tier investors.

The team is lean, highly technical, and composed of leaders from globally recognized technology and marketplace companies. This is an opportunity to join at a pivotal stage and directly influence core revenue-driving systems.

The Role

As a Staff Data Scientist, you will play a critical role in developing and deploying machine learning models that directly impact the company’s P&L. You’ll work across credit risk, pricing, and marketplace optimization problems, owning the full lifecycle from problem definition through to production.

This is a highly cross-functional role partnering with engineering, product, and leadership to drive data-informed decisions and scalable modeling solutions.

Key Responsibilities

• Build and deploy machine learning models for underwriting, credit risk, and portfolio optimization
• Develop pricing, ranking, and personalization algorithms to improve marketplace performance
• Apply causal inference and experimentation techniques to optimize decision-making
• Own projects end-to-end: from exploratory analysis and modeling through to production deployment
• Translate complex modeling outputs into clear business insights and recommendations
• Collaborate closely with engineering and product teams to operationalize models

Requirements

• 5+ years of experience in data science or machine learning in a production environment
• Strong foundation in statistical modeling and machine learning (e.g., classification, ensemble methods)
• Experience deploying models into production and iterating based on real-world performance
• Proficiency in Python and SQL
• Experience with experimentation, causal inference, or uplift modeling
• Strong problem-solving skills with the ability to operate in ambiguous, fast-paced environments

Preferred Background

• Advanced degree (PhD or Master’s) in a quantitative field such as Statistics, Mathematics, Economics, or Operations Research
• Experience in fintech, lending, or credit risk modeling
• Exposure to marketplace, pricing, or recommendation systems
• Familiarity with optimization techniques and constrained modeling problems

What Makes This Opportunity Unique

• Direct ownership of models that impact revenue and risk
• High visibility role working closely with senior leadership
• Fast-paced, startup environment with significant autonomy
• Opportunity to shape core data science strategy and systems

• If you’re excited by building high-impact machine learning systems in a fast-moving environment and want to see your work directly drive business outcomes, this is a unique opportunity to do so at scale.

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Analytics Engineer

Ecommerce Focus

Remote (EST Hours)

$110K to $145K 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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Senior Software Engineer – AI (Agent Systems) | Bay Area (Hybrid) | $180K-$260K + equity

I’m partnering with a high-growth SaaS company building production-grade AI systems that actually execute work – not just assist it.

This is not a “build a model and ship it” role.

This is where you design and own agent systems that retrieve context, make decisions, and complete workflows end-to-end in production.

You’ll operate at the intersection of backend engineering, distributed systems, and applied AI, shaping how real-world AI systems behave at scale.

‘ :

* Building agent-based architectures that take action across complex workflows

* Designing backend systems in Python / Node.js (APIs, services, orchestration layers)

* Developing multi-step reasoning systems (tool use, state management, execution loops)

* Implementing RAG pipelines and improving retrieval + grounding

* Creating evaluation + observability frameworks to measure system reliability

* Debugging failure modes across retrieval, reasoning, and agent execution

* Shipping full-stack features with TypeScript / React where needed

‘ :

* 5-8+ years in backend or full-stack software engineering

* Proven experience shipping AI systems in production (agents, RAG, workflows)

* Strong system design fundamentals (APIs, distributed systems, scalability)

* Hands-on with LLMs beyond basic API usage

* Python or TypeScript expertise

* Engineers who can explain why systems work (or fail) – not just build them

:

* Bay Area (3+ days onsite)

* $180K-$260K base + RSUs

If you’ve built real AI systems and can break down how they work under the hood, drop me a message.

Happy to share more details confidentially.

#AIJobs #SoftwareEngineering #DistributedSystems #LLMs #AgentSystems #Hiring #BayAreaJobs #TechJobs

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Analytics Manager
Watford – hybrid 3x a week
Up to £89,000 + bonus

This is a high-impact Portfolio Analytics Manager role at a pivotal moment of organisational transformation, where analytics is central to shaping commercial strategy. You will work at the intersection of data and decision-making, influencing senior stakeholders and driving measurable business outcomes across both digital and physical channels.

The Company
They are a large, consumer-focused organisation operating at scale across multiple markets, with a strong focus on innovation, sustainability, and social impact. The business is undergoing significant transformation, with a clear ambition to embed a data-led culture across all functions. Analytics sits at the heart of this change, supported by a growing investment in data, technology, and talent. The environment is collaborative, evolving, and offers the opportunity to shape how analytics drives value.

The Role

• Work with large, complex datasets to deliver high-quality analysis that informs commercial decision-making
• Translate data into clear, actionable insights and recommendations for senior stakeholders
• Partner with teams across digital, retail, finance, and data science to answer key business questions
• Support KPI reporting and develop scalable, self-serve dashboards in Power BI
• Design and evaluate A/B tests to optimise performance across customer and operational initiatives
• Deliver segmentation, cohort, and lifetime value analysis to support marketing and product strategy
• Improve data quality, validation processes, and consistency of metrics across reporting
• Contribute to the development of analytics best practices and ways of working in a growing function

Your Skills and Experience

• Strong SQL skills with experience working with large, complex data environments
• Experience using Python or similar tools for analysis, automation, or statistical evaluation
• Proficiency in Power BI or comparable BI tools, building and maintaining dashboards
• Strong commercial experience in customer or marketing analytics, including segmentation and test-and-learn approaches
• Ability to translate analysis into clear business recommendations and influence decision-making
• Experience working across multiple data sources and navigating ambiguity with a pragmatic approach
• Collaborative mindset with the confidence to act as a thought partner to stakeholders

What They Offer

• Competitive pension contributions and private medical cover
• Generous annual leave allowance and wellbeing benefits
• Access to learning and development opportunities within a growing analytics function
• Clear opportunity to shape analytics capability in a transforming organisation

How to Apply
If you are interested in this Analytics Manager opportunity, please apply with your CV for consideration.

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Data Executive
London – hybrid 2x a week
Up to £35,000

This is an excellent opportunity for a Data Executive to join a growing data team within a well-established marketing agency. The role offers hands-on experience across campaign delivery, database management, and reporting, with strong support for learning and progression. It is ideally suited to someone looking to build early professional experience in data, CRM, or marketing environments.

The Company
They are a leading marketing agency with a strong reputation for delivering data-driven communication campaigns. The data team plays a central role in supporting multi-channel marketing activity and maintaining a large, bespoke database used by clients. They invest heavily in training and development and are known for providing clear progression pathways and long-term career opportunities. The culture is collaborative, supportive, and focused on continuous improvement.

The Role
You will support the data function with day-to-day operations and campaign delivery, working closely with senior analysts and the wider team. Responsibilities include:

• Building accurate data lists based on campaign briefs
• Managing email marketing lists, including exclusions and uploads
• Preparing data for direct mail campaigns
• Supporting reporting through charts, graphs, and maps
• Maintaining and cleansing database records
• Managing bounces, unsubscribes, and ongoing data hygiene
• Assisting with routine CRM and database administration tasks
• Contributing to the improvement of internal data processes

Your Skills and Experience
You will bring practical experience working with data in a commercial or marketing setting, along with a strong willingness to learn.

• Strong Excel skills, including data manipulation and analysis techniques
• Confidence working with large datasets and attention to detail
• Experience supporting email marketing or CRM-related activities
• Understanding of database management and data cleansing processes
• Good communication skills and a collaborative approach to work
• Exposure to email marketing platforms such as Dotdigital, Mailchimp, or similar is beneficial
• Basic SQL or CRM platform experience is advantageous but not essential

What They Offer

• Competitive salary and hybrid working model
• Structured training and development programme
• Clear progression opportunities within the data team
• Exposure to end-to-end campaign delivery and data operations
• Supportive team culture with strong mentoring from senior staff

How to Apply
If you are looking to develop your career as a Data Executive in a collaborative and fast-paced environment, apply now to learn more.

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Customer Experience Optimisation Manager
London – mainly remote (2x a month in office)
Up to 60,000 + bonus

This is an excellent opportunity to take ownership of the full digital customer journey within a growing, digitally focused business. Sitting within a small, high-impact marketing team, this role offers the chance to drive measurable commercial outcomes through experimentation, data-led decision making, and continuous optimisation across multiple brands.

The Company
They are a well-established, award-winning organisation operating within the insurance and financial services space. With a strong customer-first focus, they have built a reputation for delivering high-quality digital experiences at scale. The business has a growing international footprint and continues to invest in innovation, experimentation, and data-driven growth. They foster a collaborative and forward-thinking culture with a strong emphasis on performance and continuous improvement.

The Role
You will own and optimise the end-to-end digital customer experience, with accountability for conversion, revenue, and customer engagement across multiple markets and brands. Key responsibilities include:

• Define and deliver a CRO and experimentation roadmap aligned to commercial goals
• Optimise the full conversion journey to improve performance and user experience
• Use analytics, user insights, and testing tools to identify opportunities for improvement
• Lead and implement A/B testing and experimentation strategies across platforms
• Collaborate with engineering, UX, pricing, and operations teams to scale optimisation efforts
• Monitor performance metrics and present actionable recommendations to senior stakeholders
• Drive innovation through experimentation, personalisation, and emerging technologies including AI

Your Skills and Experience
You will bring a strong blend of analytical, technical, and commercial expertise within customer experience or conversion optimisation:

• Proven experience in CRO, digital optimisation, or customer experience within a commercial environment
• Strong hands-on experience with experimentation and analytics tools such as Google Analytics, Optimizely, AB Tasty, or similar
• Ability to translate complex data into clear, actionable insights
• Strong understanding of front-end journeys, tagging, testing frameworks, and UX principles
• Experience working in fast-paced, digital-first environments, ideally within financial services, insurance, or agency
• Exposure to server-side testing and personalisation frameworks is beneficial
• Confident stakeholder engagement and cross-functional collaboration skills

What They Offer

• Opportunity to join a high-performing, collaborative team
• Strong focus on innovation, experimentation, and continuous development
• Clear scope to shape strategy and drive measurable business impact

How to Apply
If you are interested in driving customer experience innovation and delivering measurable growth through CRO and experimentation, please apply with your CV to find out more.

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Senior Data Analyst
London – hybrid 2-3x a week
Up to £55,000

This is a strong opportunity for a Lead Data Analyst to step into a high-impact role within a fast-growing data and advertising technology environment. You will play a key part in shaping how advanced analytics supports both client delivery and business growth, while building your leadership capabilities in a supportive, collaborative team.

The Company
They are a London-based advertising technology and media business, founded in recent years and already scaling rapidly. The organisation partners with agencies and brands to improve campaign performance, win new business, and drive better marketing outcomes through data. With a multidisciplinary team of analysts, data scientists and engineers, they are focused on innovation across the full lifecycle of advertising campaigns. Their environment encourages collaboration, learning, and continuous improvement.

The Role
As a Senior Data Analyst, you will support the Head of Business Intelligence in delivering high-quality analytics and guiding best practice across the team. You will work across a range of client-focused projects, using data to generate insight and recommendation.

• Lead the delivery of advanced analytics projects across campaign, customer, and commercial data
• Ensure quality and best practice across analytical outputs within your team
• Translate complex datasets into clear, actionable insights for stakeholders
• Support pre-campaign analysis, campaign strategy, and post-campaign evaluation
• Mentor and develop junior analysts, with responsibility to grow a small team over time
• Manage multiple priorities and deadlines in a fast-paced, client-facing environment
• Collaborate with data scientists and engineers to enhance analytical capability
• Contribute to improving processes, tools, and ways of working within the BI function

Your Skills & Experience

• Strong experience using Python for data analysis
• Advanced Excel and confidence working with large, complex datasets
• Solid understanding of data modelling, data cleansing, and validation techniques
• Experience delivering analytics projects in a commercial or client-focused setting
• Ability to manage multiple projects and priorities effectively
• Strong communication skills, with the ability to present insights clearly
• Interest in mentoring or leading others, with a desire to develop leadership skills
• Exposure to media, marketing, or agency environments is beneficial but not required

What They Offer

• Salary of £55,000 plus benefits
• Hybrid working model with flexibility
• Clear pathway into people management, starting with mentoring and growing a team
• Exposure to advanced analytics and increasing involvement in more statistical work over time
• Opportunity to influence a growing analytics function and make a visible impact
• Collaborative working environment with strong technical talent

How to Apply
If you are a commercially minded data analyst looking to step into a leadership role and further develop your technical and strategic impact, please apply with your CV.

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Junior C# Full Stack Engineer

FULLY ON SITE: London

Salary: £60,000 to £75,000

This is a strong opportunity for an early-career C# engineer to accelerate their development in a high-performing, collaborative environment. You will be working on real-time, data-driven systems with direct exposure to experienced engineers and meaningful projects from day one.

The Company

They are a London-based technology-driven organisation operating within a highly data-intensive domain. The business has grown organically and maintains a close-knit, collaborative culture. Engineering plays a central role, with a focus on building high-performance systems and continuously improving existing platforms. Teams are small, agile, and value curiosity and ownership.

The Role

* Build and maintain C# and .NET applications across backend and full stack systems

* Support development of high-performance, real-time data platforms

* Collaborate with engineers to deliver new features and enhancements

* Contribute to code quality, testing, and best engineering practices

* Learn from senior team members and develop technical expertise

Your Skills & Experience

* Strong foundations in C# and .NET development

* Understanding of software engineering principles and clean coding practices

* Exposure to full stack development or willingness to learn frontend technologies

* A proactive mindset with a passion for continuous learning

* Ability to communicate ideas clearly and work collaboratively

What They Offer

* Clear progression into mid-level and senior roles

* Exposure to complex, real-time systems

* Supportive culture focused on learning and development

How to Apply

Apply now with your CV to learn more about this opportunity.

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Commercial Manager – Consumer Finance
London | Hybrid Working (2-3 days per week in office)
Up to £55,000 + benefits

An exciting opportunity has arisen for a Commercial Manager to join a fast-growing consumer lending business during a major growth phase, including the launch of new products and partnerships.

This role sits within a highly commercial acquisitions team and will focus on pricing strategy, commercial performance optimisation, and data-driven decision making. You’ll work closely with stakeholders across acquisitions and analytics to identify opportunities to improve customer acquisition performance through pricing and proposition changes.

Key Responsibilities

• Analyse commercial and pricing performance across lending products

• Recommend and implement pricing adjustments to improve commercial outcomes

• Work within existing risk frameworks to optimise acquisition performance

• Use SQL to extract, manipulate and analyse large datasets

• Monitor competitor activity and market trends

• Collaborate with commercial, analytics and acquisition teams on strategic initiatives

Requirements

• Experience in a commercial, pricing, or analytical role within consumer lending or a similar regulated consumer environment

• Strong understanding of pricing strategy and commercial impact

• Advanced SQL skills essential

• Exposure to Python or statistical modelling would be beneficial

• Strong stakeholder management and problem-solving skills

Backgrounds Considered

• Consumer lending / credit cards

• Insurance

• Telecoms

• Gambling

• Existing Customer Management professionals looking to move into pricing/commercial strategy

Why Apply?

• High-growth fintech environment with strong backing and ambitious expansion plans

• Opportunity to shape pricing and acquisition strategy in a small, collaborative team

• Strong learning and development culture with opportunities to expand into analytics/data science

• Exciting upcoming product launches and partnerships

If you’re commercially minded, analytical, and looking to make a visible impact within a growing financial services business, we’d love to hear from you.

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