To Apply for this Job Click Here

Senior Manager, Finance Data Design

Location: Multiple U.S. locations (Hybrid) – New Brunswick, NJ, Jacksonville, FL, Tampa, FL.

Hybrid – 3 days onsite
Level: Senior Manager / People Leader

Overview

We are seeking a Senior Manager, Finance Data Design to lead the strategic design and delivery of enterprise finance data architecture within a large, complex, global organization. This role will play a critical part in enabling financial planning, management reporting, and advanced analytics through scalable, high-quality data solutions.

This is a people leadership role requiring strong technical depth, business acumen, and the ability to partner with senior stakeholders across Finance, Technology, and Enterprise Planning.

Key Responsibilities

Enterprise & Strategic Leadership

• Lead the finance data design strategy to support enterprise-wide planning, reporting, and analytics initiatives

• Translate complex financial and operational business processes into scalable, sustainable data models

• Provide strategic guidance across multiple workstreams to ensure end-to-end architectural alignment

• Identify risks, communicate impacts, and drive mitigation strategies clearly and proactively

People & Talent Leadership

• Lead and develop a team of business data architects, engineers, analysts, and consultants

• Foster a high-performance, collaborative culture focused on innovation, quality, and continuous improvement

• Ensure strong talent development and succession planning across the data organization

Data Design & Governance Excellence

• Own business data models supporting Commercial, Supply Chain, IBP, and Enterprise Planning & Analytics platforms

• Conduct data fit-gap assessments for deployments and ensure alignment between data sources and business processes

• Develop and maintain Data Design Documents (DDD) to capture decisions and support long-term run-state operations

• Partner with Data Governance teams to enforce standards, data quality, and best practices

Delivery & Run-State Support

• Oversee smooth transition of deployed models into run-state ownership with full documentation and knowledge transfer

• Act as a trusted advisor to run teams, supporting continuous improvement initiatives

• Collaborate with data validation teams throughout testing, simulations, and production readiness

Qualifications & Experience

• Bachelor’s degree required (Finance or IT preferred)

• 8+ years of experience, including 5+ years in data modeling, data warehousing, or relational database design

• Proven experience managing and developing direct reports

• Experience with tools such as SAP Finance, BW, Tableau, Alteryx, MDM, or similar platforms

• Extensive experience with Financial Planning & EPM tools (e.g., Anaplan or comparable platforms)

• Demonstrated ability to design and deliver data solutions in a large, matrixed enterprise environment

• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences

• Experience enforcing governance, best practices, and data quality standards

• Comfortable operating in ambiguity with a collaborative, team-oriented mindset

• Project management or large-scale implementation experience preferred

To Apply for this Job Click Here

To Apply for this Job Click Here

Data Analyst
Up to £55,000
Hybrid – East Midlands (3x days per week)

Our client, a leading organisation within the financial services sector, is seeking a highly skilled Senior Data Analyst to join their growing analytics team. This role sits at the core of the business, delivering high-impact insights that drive strategic decisions and support growth across multiple areas.

Responsibilities:

• Perform core data analytics, including data extraction, manipulation, analysis, and insight generation.
• Work closely with teams across the business to understand requirements and translate them into effective analytical solutions.
• Use a variety of data sources to produce actionable insights that support and influence key business decisions.
• Partner with stakeholders across the organisation to communicate findings and guide strategic initiatives.

Requirements:

• Advanced SQL skills (essential).
• Experience with Python (highly beneficial).
• Strong data visualisation skills; experience with Tableau preferred but any BI tool is welcomed.
• Excellent communication and stakeholder management abilities.
• Strong numerical and quantitative skills with the ability to interpret and explain complex data.

Please note we cannot offer sponsorship for this position

To Apply for this Job Click Here

To Apply for this Job Click Here

Insights Analyst

Up to £50,000

Hybrid – Stratford Upon Avon (1x Day per week)

An established financial services organisation is looking for a Customer Selections & Analytics Consultant to join a growing Customer Selections & Analytics team. This is an excellent opportunity for someone with strong SQL skills and experience working with campaign selections, CRM data, or customer analytics to step into a role with real impact across multiple business areas.

The Role

As part of the Customer Selections & Analytics function, you will be responsible for delivering accurate, timely, and data-driven campaign selections that support key customer journeys across the business. Working closely with campaign, CRM, and analytics teams, you will help turn customer insight into action.

Key Responsibilities:

• Translate campaign briefs into structured technical requirements
• Build and run campaign selections using SQL
• Manipulate and join data from multiple sources (CRM, transactional, engagement, etc.)
• Support campaign testing and performance measurement

Background & Skills Required

• Strong SQL skills (essential)
• Experience in campaign selections, CRM data, customer analytics, or related fields
• Comfortable working with large datasets and multiple data sources

Please note we cannot offer sponsorship for this position.

To Apply for this Job Click Here

To Apply for this Job Click Here

BI Developer
Up to £40,000
Hybrid – West Midlands (3x days per week)

The Company

Our client is a well-established organisation operating within the industrial and distribution sector, currently expanding their Business Reporting capability as part of a wider Business Transformation function. They are seeking a Business Intelligence Developer to help deliver high-quality Power BI reporting and actionable insights across the business.

This role offers the opportunity to build high-quality Power BI reporting and deliver clear, actionable insights across the business. You’ll work closely with stakeholders across Operations, Sales, Finance and eCommerce, developing dashboards and responding to ad hoc data requests to support confident, data-driven decision making.

Key responsibilities include:

• Designing, building and maintaining Power BI dashboards, including data models, DAX measures, visuals and row-level security
• Delivering timely ad hoc analysis with clear insight and commentary
• Validating data, documenting assumptions and improving data quality
• Translating business questions into well-defined reporting solutions

Key requirements:

• Strong SQL skills and hands-on Power BI experience
• Advanced Excel skills for analysis and data manipulation
• Clear communication skills with non-technical stakeholders
• Strong organisation and attention to detail

Experience in wholesale or distribution, ERP systems, Salesforce, Microsoft Fabric, or legacy Microsoft BI technologies would be advantageous but not essential.

**Please note we cannot offer sponsorship for this position

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR DATA ENGINEER

UP TO £55,000 + BENEFITS

HYBRID – Lancashire

If you’re a technically strong, proactive Data Engineer looking to join a scaling fintech with start-up energy and enterprise backing, this could be a great next step.

THE COMPANY:

I’m working on a fantastic opportunity with a high-growth fintech that’s transforming how consumers engage with retail and finance. With a modern data stack and ambitious product roadmap, this company is building the future of payments, loyalty, and credit in an agile, tech-driven environment.

THE ROLE:

You’ll join a cross-functional data team as a Data Engineer, working closely with analytics, product, and platform teams to scale and optimise core data infrastructure. This is a hands-on role where you’ll take ownership of ingestion, transformation, and modelling-while also helping define platform standards and best practices.

Key responsibilities include:

• Build and maintain ELT pipelines
• Take full ownership of data ingestion
• Support data modelling and architecture within Snowflake
• Own and evolve the dbt layer, including governance and access controls
• Collaborate across analytics, product, and engineering teams
• Contribute to platform improvements, automation, and optimisation

YOUR SKILLS AND EXPERIENCE:

A successful Senior Data Engineer will bring:

• Strong SQL skills
• Experience with dbt in a production environment
• Snowflake experience is desirable
• Exposure to AWS
• Confident mentoring peers and contributing to a collaborative, high-impact team
• Experience working in fast-paced, agile environments with modern data workflows

THE BENEFITS:

You will receive a salary of up to £55,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Insight Analyst – £55,000 + Benefits

Remote (UK-Based)
Modern BI Stack | Data Transformation | Commercial Insight

Are you a commercially minded analyst who loves turning complex data into actionable business insight?
Our client – a leading UK distributor and supplier of industrial products – is undergoing a major data transformation and is seeking a Senior Insight Analyst to help drive smarter, data-led decisions across the business.

This is a fantastic opportunity to play a key role in shaping how data supports pricing, profitability, and operational performance within a dynamic, product-heavy environment.

The Role

As Senior Insight Analyst, you’ll sit within a forward-thinking transformation team, working closely with senior stakeholders across sales, marketing, finance, and supply chain.

You’ll analyse performance across thousands of SKUs and customers, deliver pricing and margin insights, and help build the foundations of a modern, connected BI environment under Microsoft Fabric.

This role is ideal for someone who enjoys blending commercial thinking with technical analytics – not just reporting numbers, but understanding the why behind them.

What You’ll Be Doing

• Lead analytical work across pricing, rebates, and margin performance, helping identify where value is gained or lost.

• Deliver actionable insights across sales, marketing, finance, and supply chain.

• Partner with ecommerce teams to improve visibility of digital performance and customer behaviour.

• Support key data integration and transformation projects within the Microsoft Fabric environment.

• Translate large datasets into clear, commercial recommendations for senior stakeholders.

• Contribute to key strategic initiatives, including price, volume, and mix analysis and margin optimisation.

Tech Environment

Core Skills: SQL (essential), Power BI (advantageous)
Platform: Microsoft Fabric (mid-implementation)
Languages: Python (pandas/numpy – desirable, not essential)
Other: Salesforce & Google Analytics exposure beneficial

About You

• Proven experience as an Insight Analyst, ideally in wholesale, distribution, or another product-heavy industry.

• Strong knowledge of pricing, rebates, and margin analysis.

• Excellent SQL skills and analytical problem-solving capability.

• Commercially aware – able to tell stories with data and influence decisions.

• Confident communicator who can engage across multiple business areas.

• Naturally curious, proactive, and adaptable in a fast-changing environment.

Why Apply?

• Join a business at the heart of a major BI and data transformation.

• Blend commercial strategy with technical analytics.

• Work within a supportive team driving real change and visibility.

• Exposure to Microsoft’s modern Fabric BI stack.

• Flexible, fully remote working with occasional collaboration days in the Midlands.

If you’re passionate about using data to drive profitability and operational excellence – and want to make a real impact within a modern, evolving BI landscape – apply in confidence today.

To Apply for this Job Click Here

To Apply for this Job Click Here

Analytics Manager

London (Hybrid – 2 days in office, Tuesdays required)
Up to £90,000 base salary

An established data and analytics provider within the FS and property sector is looking for an Analytics Manager to lead and deliver high-impact client-facing projects. Sitting at the intersection of data, product, and commercial teams, this role offers the opportunity to influence strategic decision-making across some of the UK’s most prominent banks and mortgage lenders.

You’ll manage a small team of analysts while staying close to delivery – combining technical expertise with business insight to shape how financial institutions use housing market data to drive smarter lending decisions.

Key Responsibilities

• Team Leadership: Mentor and support 2-3 analysts; oversee workload and ensure high-quality output

• Client-Facing Analytics: Present insights directly to clients, translating complex data into strategic value

• Cross-Functional Collaboration: Work with product, commercial, and presales teams to develop tailored solutions

• Strategic Thinking: Stay ahead of market trends and customer challenges to guide analytics direction

• Project Delivery: Lead the end-to-end delivery of analytics projects across multiple stakeholders and timelines

• Innovation Support: Help evolve the product set through insight-led thinking across financial services use cases

What We’re Looking For

• 5-7 years’ experience in analytics, ideally within financial services, credit risk, mortgages, or related sectors

• Proven experience mentoring or managing analysts (or strong readiness to step into a team lead role)

• Strong technical toolkit: SQL, Python, and Excel proficiency

• Skilled communicator – confident presenting to both technical and non-technical audiences

• Experience working with or alongside banks, lenders, or credit decisioning teams

• Highly numerate, creative problem solver with strong business acumen

Nice to Have

• Exposure to property, housing, or mortgage markets

• Experience in a fast-paced, collaborative environment

• Interest in combining product thinking with data analytics

• Ability to manage multiple projects and stakeholders

• Strong presentation skills and a curious, solutions-driven mindset

Why Apply?

• Strategic, visible role with direct impact on how financial clients use data

• Competitive salary up to £90,000

• Hybrid working – 2 days/week in the London office (Tuesdays required)

• Work within a high-calibre analytics team under supportive leadership

• Be part of a mission to simplify and modernise property data in financial decisioning

Interview Process

1. Initial interview (30-45 mins) – with Analytics Leadership

2. Task stage – demonstrate analytical thinking and communication

3. Final round – culture fit and stakeholder interaction
   One stage may take place in person at the London office (London Bridge), where possible

Ready to shape the future of data in property and financial services? Apply now to join a high-performing team that blends deep analytics with real-world impact.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Analyst
Location: London – 3 days per week
Salary: Up to £85,000

A private equity-backed company in the green tech space is looking for a Data Scientist / Analytics professional to join a growing team. This is a hands-on role with real ownership, helping the business turn large volumes of data into actionable commercial insights.

What You’ll Do:

• Work closely with the Head of Analytics to deliver actionable insights across the network of charging points

• Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth

• Build statistical models for segmentation, regression, predictive modelling, and forecasting

• Support pricing and revenue optimisation initiatives, including dynamic pricing strategies

• Query and process large datasets coming from multiple real-time sources

• Translate complex analysis into clear recommendations for non-technical stakeholders

What You’ll Need:

• Strong SQL and Python skills; experience in AWS environments is a plus

• Solid statistical analysis background (segmentation, regression, forecasting)

• Hands-on, adaptable, and comfortable in a smaller, fast-moving team environment

• Excellent communication skills and ability to take ownership of projects

• Experience delivering actionable insights rather than exploratory or purely machine learning work

Interview Process:

1. Remote competency interview and CV review

2. Face-to-face interview with testing component (details to be confirmed)

Find out more and apply via the link below.

To Apply for this Job Click Here

To Apply for this Job Click Here

Job Title: Product Data Scientist – Hybrid – Up to £80,000

Location: London (Hybrid, 2 days p/w in office)

Salary: Up to £80,000 + benefits

Contract: Permanent

The Company

A well-established and fast-growing organisation going through an exciting period of digital transformation. With a strong customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth.

The Role

As a Product Data Scientist, you’ll work closely with teams across the business to unlock insight, guide product strategy, and influence decision-making. You’ll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact.

Key Responsibilities:

• Analyse user behaviour to uncover insights, identify pain points, and influence product direction.

• Design experiments and support a culture of testing, learning, and iteration.

• Define and align key business metrics, ensuring consistency and accuracy across teams.

• Build and maintain dashboards and tools to empower stakeholders with self-serve insights.

• Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.

• Collaborate across functions to close data gaps and drive analytics best practice.

• Stay current on industry trends and champion innovative approaches to product data science.

The Candidate

• Proven experience in analytical roles, ideally within a digital-first or tech-led business.

• Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).

• Ability to translate business challenges into clear analytical projects and recommendations.

• Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.

• Curious, proactive, and detail-oriented problem solver.

• Team player with strong collaboration skills.

What’s on Offer

• Salary up to £80,000 + bonus

• Hybrid working (2 days per week in London office)

• Competitive annual leave package

• Pension scheme and healthcare support

• Employee discounts and perks

• Regular team socials and recognition initiatives

• Strong learning and development opportunities

Apply Now
If you’re an experienced Product Data Scientist/Analyst looking to shape the future of data insight in a growing, forward-thinking organisation, apply today.

To Apply for this Job Click Here

To Apply for this Job Click Here

Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

To Apply for this Job Click Here

To Apply for this Job Click Here

Principal Econometrician
Location: West London (Hybrid – 3 days a week in the office)
Salary: Up to £70,000

Ready to make an impact in a dynamic, fast-paced environment? Join a leading media and entertainment brand and take on an exciting opportunity to drive the efficiency of marketing plans through advanced econometric insights.

Role Overview:
As a Principal Econometrician, you’ll play a pivotal role in delivering econometric projects that help optimize business decision-making. You’ll work with key stakeholders to ensure your insights translate into real-world decisions on budget allocations, media planning, and marketing efficiency. If you’re passionate about advanced statistical techniques, media planning, and optimizing commercial strategies, this role is for you.

Key Responsibilities:

• Lead the delivery of econometric projects, ensuring alignment with key business goals and objectives
• Drive the Cross-Portfolio Optimisation process, using econometric insights to inform budget allocations and marketing decisions
• Collaborate with key stakeholders to integrate econometric findings into real-world business decisions
• Partner with consumer strategy teams to enhance the department’s reputation and influence within the company
• Lead the development of new techniques, tools, and processes to improve team efficiency, staying ahead of industry trends

Ideal Candidate:

• Proven experience delivering econometrics projects with an established provider in the industry
• Experience with sizing, allocating, and optimizing media investment decisions in a commercial context
• Passion for using statistical techniques to convert data into actionable recommendations
• Strong understanding of media planning and buying, and knowledge of how optimization techniques inform media strategies
• Advanced Excel skills to manipulate data and optimize based on model parameters
• Self-motivated with the ability to thrive in a fast-paced, dynamic environment
• Experience in developing and upskilling econometrics teams to ensure the use of the latest tools and techniques
• Excellent communication skills with experience delivering results and recommendations that impact commercial decision-making
• Strong organizational and time management skills to manage multiple tasks and priorities effectively
• Knowledge of Python is desirable

The Benefits:

• Up to £70,000 + benefits
• Hybrid
• West London (x3 days a week)

How To Apply:

If interested in the role please send your CV to Jordan Victor via the Apply Link below

To Apply for this Job Click Here

To Apply for this Job Click Here

Customer Data Analyst – up to £50,000 | Hybrid (2 days per week in London)

High-growth consumer services company | Expanding data team | Customer behaviour & retention focus

I’m supporting a rapidly expanding consumer services organisation that has seen significant growth and investment in digital, data, and customer analytics over the past few years. As part of their continued transformation, they are looking for a Customer Data Analyst to join their insights function and help shape customer strategy across the business.

This is an opportunity to join a modern, insight-driven environment, working with senior stakeholders and influencing decisions around customer value, retention, product innovation, and commercial performance.

The Role

You will join a collaborative analytics team and work with stakeholders across Commercial, Marketing, Finance, and Technology. Your focus will be understanding customer behaviour, identifying value opportunities, and delivering insights that directly inform business strategy.

What You’ll Be Doing

• Develop and enhance customer segmentation to identify behavioural and value-based groups.

• Analyse churn, retention, loyalty, and customer lifetime value to support business planning.

• Explore diverse datasets – including customer interactions, service usage, device/behavioural data, and geographic insights – to uncover new opportunities.

• Conduct deep-dive evaluations of customer-focused product ideas and potential investments, providing clear, actionable recommendations.

• Partner with senior stakeholders to communicate insights in a simple, commercial, and impactful way.

• Support A/B testing, funnel analysis, and journey optimisation initiatives.

• Build dashboards and automate reporting to improve operational efficiency and insight accessibility.

What They’re Looking For

• Strong SQL and Python experience with solid analytical and storytelling skills.

• Background in customer or commercial analytics (telco, subscription, retail, e-commerce, utilities, FS, etc. all relevant).

• Ability to translate complex data into clear, actionable insight.

• Confident working with senior stakeholders and owning analysis end-to-end.

• Experience with segmentation, churn/retention analysis, or CLTV modelling is a strong advantage.

• Someone proactive who enjoys solving real business problems with simple, effective solutions.

Why This Role Is Unique

• Join a fast-growing organisation investing heavily in analytics and insight.

• Work on high-impact customer insight projects with strong visibility across the business.

• Lots of opportunity for greenfield analysis-many datasets remain underutilised.

• Collaborative team environment with strong leadership and clear direction.

• Ideal for someone who enjoys mixing hands-on analytics with strategic business influence.

Salary & Working Model

• Up to £50,000 base salary plus benefits

• Hybrid: 2 days per week in theLondon office

• Excellent exposure, learning opportunities, and ownership of key customer insight projects

To Apply for this Job Click Here