DATA & AI STAFFING AGENCY
MASSACHUSETTS

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Customer Insight Analyst
Location: Manchester – Hybrid (2 days in office)
Salary: Up to £33,000 + benefits
Start Date: ASAP

The Company
A leading education and training provider with a global footprint, delivering professional courses.. they partner with thousands of schools, universities, and businesses to empower learners worldwide. You’ll be joining an insights team of 10, working at the heart of data-driven decision making.

The Role
This is an early-career role, ideal for a recent graduate or someone with 1-2 years’ analytics experience. As a Customer Insight Analyst, you’ll work across multiple datasets including learning, transactional, and operational data, turning numbers into meaningful stories that shape strategic decisions. You’ll gain broad exposure to reporting, stakeholder communication, and insight generation in a supportive, collaborative team.

Key Responsibilities

• Develop and manage Power BI dashboards and reports, taking ownership of the backlog.

• Use SQL for data extraction and transformation across multiple business sources.

• Translate complex datasets into actionable insights and clear recommendations.

• Collaborate with stakeholders to understand business needs and deliver solutions.

• Build engaging data visualisations that bring insights to life.

• Support data governance and quality assurance processes.

• Present findings to stakeholders in a clear and confident way.

Skills & Experience

Essential:

• SQL skills with experience querying relational databases.

• Hands-on experience with Power BI (or another BI/visualisation tool).

• Strong communication and presentation skills.

• Analytical mindset with attention to detail.

• Ability to explain technical findings to non-technical audiences.

Desirable:

• Python for data analysis and visualisation.

• Previous exposure to education, learning, or customer analytics datasets.

• Experience working in a team-focused, collaborative environment.

Interview Process

• Initial chat with hiring manager.

• 1.5-hour interview (on-site if available on a Wednesday).

• Final interviews with the wider team the following week.

How to Apply
Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to learn more.

Keywords
Customer Insight Analyst, Data Analyst, SQL, Power BI, Python, Customer Analytics, Data Visualisation, Insights, Stakeholder Engagement, Education, Training, Manchester, Hybrid

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FULL STACK PRODUCT ENGINEER

£110,000 + BENEFITS

UK REMOTE

Looking for a role where you can shape the future of a growing SaaS platform, work across the product lifecycle, and help solve real challenges for design and product teams?

THE COMPANY:

I’m working with a SaaS platform that focuses on documentation, governance, and collaboration for design systems. This is a great opportunity to be part of a start up/scale up in a high growth period.

THE ROLE:

This is a hands-on product engineering role where you’ll contribute to everything from ideation to release. You’ll collaborate closely with designers and PMs in small, autonomous squads to build features that help teams scale their design systems.

• Work on projects like:
• Managing and exporting design tokens
• Building analytics tools to track adoption of design systems
• Creating state management tools for components across platforms
• Contribute to roadmap planning, process improvements, and product strategy
• Collaborate across the product lifecycle: ideation, planning, building, QA, release

YOUR SKILLS AND EXPERIENCE:

A successful Fullstack Engineer will have the following:

• Strong experience with JavaScript + React
• Backend development experience (APIs, devops basics)
• A product-focused mindset with attention to solving user problems
• Ruby on Rails
• AWS / cloud infrastructure knowledge
• Experience applying AI solutions to user problems
• An interest in design systems or design tooling

THE BENEFITS:

You will receive a salary up to £110,000 depending on experience, plus a competitive benefits package.

HOW TO APPLY:

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

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Data Analyst
Location: Manchester (Trafford Park, near MediaCity) – Hybrid (2 days in office)
Salary: £40,000-£55,000 + benefits (25 days holiday, pension, flexible working)
Start Date: ASAP

The Company
A fast-scaling data technology business working with major names in media, marketing, and research. They provide behavioural data from real devices, enabling evidence-based decisions at scale. With rapid growth underway, the business is building out a central analytics function to support both internal teams and external clients.

The Role
This is a hands-on data analyst role with broad exposure to product, technical, and commercial teams. You’ll work directly with stakeholders, taking half-formed questions and turning them into clear, data-led answers. From uncovering churn metrics to evaluating server performance or understanding how VPNs impact user experience, you’ll be the go-to person for actionable insight in a high-growth environment.

Key Responsibilities

• Analyse large, complex datasets to uncover trends and guide decision-making.

• Translate ambiguous business questions into clear, metric-driven insights.

• Build and present concise data stories to internal and external stakeholders.

• Support compliance efforts with robust monitoring and analysis.

• Develop lightweight automation to improve internal reporting and processes.

• Provide insights on marketing/media data to identify performance issues.

• Join client meetings to explain analytics in a clear, confident manner.

Skills & Experience
Essential:

• 2+ years’ experience in a data analyst or similar role.

• Strong SQL skills – confident working with complex data structures.

• Excellent communication skills, able to engage technical and non-technical stakeholders.

• Self-starter who thrives in ambiguous situations.

• Ability to prioritise and manage open-ended requests.

• Strong analytical mindset with commercial awareness.

Desirable:

• Python for analysis and automation.

• Experience with technical data (servers, VPNs, compliance).

• Familiarity with marketing/media datasets.

Interview Process

• Initial 30-minute chat with hiring manager.

• Take-home technical task (data analysis + presentation prep).

• Final in-person interview (2 hours): culture fit, presentation, and technical deep dive with hiring team.

How to Apply
Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to learn more.

Keywords
Data Analyst, SQL, Python, GA4, Product Analytics, Marketing Analytics, Customer Analytics, Behavioural Data, Stakeholder Engagement, Data Storytelling, Compliance, Media, Marketing, Research, Manchester, Hybrid.

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Digital Analytics Manager
Manchester (Hybrid – 3x Days a Week in Office)
£70,000-£80,000

Are you passionate about understanding how audiences engage with digital products? Do you have a proven track record in the world of Digital Analytics and leading teams to deliver actionable insights? This is an exciting opportunity to join a major UK broadcaster and play a key role in shaping how millions of viewers interact with their digital platforms!

The Company

One of the UK’s most recognisable names in broadcasting, with a reputation for innovation and delivering award-winning programming, is currently investing heavily in their data and analytics capability to better understand digital audiences, optimise user experiences, and drive growth across their streaming and online products; this is a key hire for them as a result!

The Role

As Digital Analytics Manager, you will lead a team of digital product analysts to uncover insights into customer behaviour, optimise user journeys, and support key business decisions across product, marketing, and content. You will be the go-to expert for Adobe Analytics, ensuring the business has robust data foundations and clear, actionable reporting.

Key Responsibilities:

• Own and manage the Adobe Analytics setup, including tracking, reporting, and governance
• Lead and mentor a team of digital analysts, developing their technical and commercial skills
• Analyse customer journeys across web, app, and streaming platforms to identify opportunities for conversion, engagement, and retention
• Partner with product managers, UX designers, and marketing teams to deliver data-driven recommendations
• Build dashboards and reports to make insights accessible to senior stakeholders
• Support subscription product teams with analysis to drive sign-ups, trials, and retention
• Drive best practices for experimentation and A/B testing across the business

Your Skills and Experience

I am looking for a commercially minded analytics leader who can combine technical expertise with stakeholder influence:

• Digital Analytics SME – Adobe preferred, but not essential!
• Background in customer journey and on-site behaviour analysis
• Experience in subscription or membership-based business models is a plus
• Previous experience managing or mentoring analysts
• Excellent stakeholder management and communication skills

The Benefits:

• £70,000-£80,000

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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Senior Data Scientist – Manchester or London

We are working on an exciting role with a scale up SaaS company who are seeking a Senior Data Scientist in Manchester or London.

The Role
We’re seeking a skilled professional with a background in data science and machine learning to contribute to the development of systems that support critical business goals, including fraud detection. You’ll work with large datasets, help build scalable solutions, and collaborate with various teams to ensure models remain effective and reliable.

Responsibilities

• Develop and deploy ML models to detect bot and fraudulent traffic
• Lead research and prototyping of new detection methods
• Monitor model performance and address drift or false positives
• Collaborate across teams to turn insights into product features
• Ensure compliance, scalability, and reliability of ML systems

Skills Required

• Proven experience with ML in production environments
• Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.)
• Familiarity with MLOps and real-time data applications
• A pragmatic mindset and strong problem-solving ability
• Background in adtech or fraud detection is a bonus

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Marketing Analytics Manager

£65,000-£75,000

Manchester (Hybrid – 2 Days a Week in Office)

The Company

A market-leading consumer brand in the travel and leisure sector, with household-name sub-brands that reach millions of customers every year, have bold growth ambitions and are seeking a Marketing Analytics Manager to ensure every pound spent delivers maximum commercial impact!

The Role

This is a unique opportunity to be the strategic driver of marketing effectiveness, shaping how marketing investment decisions are made and ensuring spend delivers maximum ROI. You’ll be working with external analytics partners who build the MMM models; your role is to interpret outputs, translate them into strategy, and influence key commercial decisions

Key Responsibilities:

• Own the Marketing Mix Modelling (MMM) programme, working with external providers to ensure outputs drive business impact
• Translate complex analytical insights into clear, actionable recommendations for marketing and finance teams
• Partner with stakeholders to ensure marketing investment balances short-term performance with long-term brand growth
• Lead on scenario planning and budget allocation decisions, guiding where and how to invest
• Influence senior leadership with data-backed recommendations that shape strategy

Your Skills & Experience

• Proven track record in marketing effectiveness / marketing analytics
• Strong grasp of MMM theory and ROI measurement; proven ability to interpret and challenge outputs
• Commercially minded, with experience driving measurable business impact through data-led decisions
• Confident communicator, comfortable influencing senior stakeholders

The Benefits

• £65,000-£75,000

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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Role: Azure Senior Data Engineer

Location: Manchester, Lancashire

Hybrid working: go into office 1x day a week

Salary: £60,000 – £70,000 (dependent on experience)

Insight into the Company:

A large retail organisation – market leaders in their industry – are looking for a Senior Data Engineer to enter their team. You will be working in a small team of 3 (including you!) and they are looking to build up the team over the next year.

The ideal candidate will have experience with managing data warehouses from start to finish and liaise with IT teams regularly. The role will involve stakeholder management, working with diverse roles, such as software engineers, sales and marketing professionals and more. Therefore, communicating your projects needs and understanding others is an essential part of this role.

Role and Responsibilities:

• You will design, build and upgrade data pipelines
• You will work in CI/CD and with Software/ DevOps teams in the organisation
• You will have expertise in azure – from collecting, to transforming to loading!

Skills and Experience:

• Essential to have experience with:
  • Azure
  • SQL
  • Regular stakeholder management
  • Data warehouse management
  • Power BI
• Desirable to have experience with:
  • Bachelors in STEM subject – ideally computer science or engineering
  • CI/CD methods

Interview Process:

• There are 3 stages to the process:

1. Introductory conversation with the Head of Business Insights
2. In person interview, focussing on techstacks
3. Sign off conversation!

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SENIOR CREDIT RISK MODELLING ANALYST

UP TO £65,000

MANCHESTER

A new position has become available at an established digital bank in London. They are continually growing, and this exciting Senior Modelling Analyst position won’t be on the market for long. This opportunity will allow you to take projects through from start to finish and have great exposure with senior stakeholders and management.

THE COMPANY

This is an award-winning bank based in London who put emphasis on company growth and customer satisfaction. Culture is very important to them as well as employee well-being. It is company you will want to stay with on a long-term basis. They also have a hybrid working from home and office system providing great flexibility for its workers.

THE ROLE

The role is a senior modelling analyst position which will involve modelling IFRS9 and scorecard models.

You can expect to be involved in the following day to day:

• Develop and maintain IFRS9 and scorecard model
• Produce model methodology and documentation
• Interact closely with stakeholders regarding model developments
• Work closely with data science and model validation teams

SKILLS AND EXPERIENCE

• Experience using Python or R (SAS will be considered)
• Experience building IFRS9, scorecard or affordability models
• A strong university degree in a numerate discipline

SALARY AND BENEFITS

• Up to £65,000 base salary
• Enhanced pension contribution
• Private Healthcare
• 25 days holiday allowance plus birthday off

HOW TO APPLY

Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

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Data Analyst
Up to £45,000
Location: Remote

An established consumer lending business, recently acquired by a global financial group, is entering an exciting period of growth and expansion. With strong investment and ambitious plans to triple loan volumes over the next 12 months, the business is scaling rapidly and building out its product offering, with new lines of credit and future launches on the horizon.

We are seeking a driven and analytical professional to join the Market & Pricing function, working closely with the team to drive growth through broker partnerships, lead generation and pricing strategy. This role will play a pivotal part in shaping customer acquisition and product development, with real scope to take ownership and influence direction.

KEY RESPONSIBILITIES:

• Manage relationships with third-party brokers and lead generation partners
• Support pricing decisions and performance analysis against commercial targets
• Provide insight, reporting and recommendations to optimise growth channels.

SKILLS AND EXPERIENCE

• SQL
• 3+ years’ experience in financial services, ideally with experience in the financial industry or similar.
• Strong analytical skills with experience in data visualisation and reporting
• Confident in providing insight and recommendations to senior stakeholders
• Knowledge of growth and organic channels is beneficial

APPLY
Send an email to register your interest.

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Data Analyst
Location: Remote-first (monthly visit to Nottingham HQ – travel expensed)
Salary: £30,000-£45,000 (DOE)

The Company
A fast-growing UK consumer lender recently acquired by a global fintech, focused on transparent, short-term credit that helps customers cover essential, time-critical costs. With significant investment and an ambitious growth plan (new products and expanded lines of credit), the business is scaling its data capability to drive smarter acquisition and pricing decisions.

The Role
This is a hands-on analytics role sitting in Marketing & Pricing. You’ll analyse broker and lead-gen performance, optimise pricing and targets, and turn large datasets into clear, commercial recommendations. Expect variety: building dashboards, running A/B tests, diagnosing funnel issues, and partnering with stakeholders to shape how the business acquires and retains customers.

Key Responsibilities

• Own performance analytics across third-party brokers and lead-gen partners; monitor volume, approval, CPA/CAC and payback.

• Support pricing and target-setting; evaluate elasticity and lift, and guide rate/offer changes.

• Design and analyse A/B and multivariate tests across landing pages, journeys and partner traffic.

• Build automated reporting (e.g., weekly KPIs, cohort/LTV, source quality) in SQL and visualisation tools.

• Translate findings into clear actions for Marketing, Commercial and senior leadership.

• Support new product lines (e.g., line of credit) with sizing, test design and success metrics.

• Improve data acquisition and quality from external partners; define specs, checks and SLAs.

• Contribute to forecasting and planning by feeding robust performance assumptions.

• Document logic, maintain reproducible code, and champion best practice in data governance.

Skills & Experience

Essential:

• 3+ years’ analytics experience (financial services strongly preferred).

• Strong SQL for data extraction, joins, window functions and performance tuning.

• Proficiency in Python or R for analysis and experimentation (Python preferred).

• Proven experience with A/B testing: design, power, analysis and clear read-outs.

• Dashboarding in Power BI/Tableau/Looker and advanced Excel for quick analysis.

• Evidence of turning data into concise, commercial recommendations for non-technical stakeholders.

• Familiarity with acquisition funnels, broker/affiliate performance and lead quality diagnostics.

Desirable:

• Experience in short-term lending or consumer finance (pricing, underwriting, collections KPIs).

• Knowledge of marketing analytics (attribution basics, cohort/LTV, churn/retention).

• Exposure to cloud warehouses (Snowflake/BigQuery/Redshift) and dbt.

• Comfort working with messy partner data; building validation and reconciliation checks.

• Basic understanding of experimentation platforms and uplift modelling.

Interview Process
1st Stage: Intro with Manager (CV deep-dive and role fit).
2nd Stage: Case study (3 days to complete) analysing provided data and presenting insights.
Final Stage: Leadership interview (with sign-off) to discuss recommendations and stakeholder approach.

How to Apply
Send your CV to Mohammed Buhariwala at Harnham or connect on LinkedIn to learn more and request the full brief.

Keywords
Data Analyst, SQL, Python, A/B Testing, Pricing Analytics, Lead Generation, Broker Performance, Acquisition Funnel, CAC, LTV, Cohort Analysis, Dashboarding, Power BI, Tableau, Financial Services, Consumer Lending, Remote, Nottingham.

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AI Engineer – Remote

We’re hiring an AI Engineer to help design and build cutting-edge AI solutions with a focus on document intelligence. You’ll play a key role in embedding GenAI across the business, starting with tools to support verification teams in extracting and reasoning over complex documents.

This is a hands-on engineering role with a strong focus on LLM-based systems and clean, production-grade Python development.

Responsibilities:

• Build rapid MVPs and evolve them into production-ready services.
• Develop and maintain shared Python libraries with strong architecture, testing, and CI/CD standards.
• Design and deploy LLM-based extraction, RAG, and agent workflows across large document sets.
• Work closely with both technical and non-technical stakeholders.

Required:

• Expert in Python coding
• Solid grounding in software engineering best practices: CI/CD, automated testing, observability.
• Experience with multi-modal AI (e.g. layout understanding, VLMs, agentic workflows).
• Comfortable prototyping quickly (Streamlit, Dash) to test ideas.
• Familiar with MLOps tools like MLflow and model monitoring.
• Strong communicator who can work across teams.

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Lead Analytics Consultant

Location: UK (hybrid – UK-remote with up to 20% client-site travel)
Salary: £80,000-£100,000 (DOE)

The Company

We’re partnering with a high-growth data consultancy that helps organisations realise measurable value from data and AI. They design modern data platforms, define pragmatic data & AI strategies, and deliver analytics solutions that are adopted by business users-not just “delivered”. With an expanding UK footprint, they’re building a senior consulting layer to lead flagship engagements and shape the practice.

The Role

This is a senior, client-facing role at the intersection of data strategy, AI opportunity, and delivery execution. You’ll lead end-to-end strategy engagements, translate business needs into actionable roadmaps, guide multi-disciplinary delivery teams, and mentor consultants-ensuring solutions land, scale, and drive impact.

Key Responsibilities

Own end-to-end data & AI strategy engagements: scope, discovery, assessment, roadmap, operating model, adoption.

Run senior stakeholder workshops: align priorities, define value metrics, and set success criteria across business and tech.

Translate strategy into delivery: shape target architecture and backlog (platforms, pipelines, governance, analytics/ML).

Course-correct initiatives: identify low-value work, re-prioritise to higher-impact opportunities, and prove value quickly.

Oversee delivery quality: steer squads across data engineering, analytics, and data science; remove blockers; ensure best practice.

Drive adoption & change: define measurement, enablement, and operating processes so solutions are used and maintained.

Mentor & elevate the team: coach consultants on consulting craft, stakeholder management, and technical breadth.

Grow accounts through outcomes: build trusted relationships and spot expansion opportunities via delivered value.

Skills & Experience

Consulting leadership: proven experience leading data/analytics strategy programmes (with exposure to AI/ML preferred).

Business & technical bilingual: credible with execs and architects alike; able to frame trade-offs and influence decisions.

Broad technical grasp: modern data platforms (Azure/AWS/GCP), ingestion/ELT, modelling, governance (policies, lineage, MDM), BI, and ML use cases.

Hands-on when needed: comfortable diving into discovery, prototyping value cases, and structuring delivery backlogs.

Value & adoption mindset: measurable outcomes, TCO awareness, and practical operating models (people, process, tech).

Strong facilitation & comms: runs C-level workshops, produces clear roadmaps, and tells compelling data-led stories.

Coaching orientation: develops juniors; sets standards for consulting quality and delivery excellence.

Benefits

£80k-£100k base depending on experience

Hybrid UK working with <=20% travel (primarily London)

Clear progression to Practice Lead as the team scales

High-impact projects across industries; autonomy to shape the practice

Collaborative, low-ego culture focused on value and adoption

How to Apply

Please send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page, including notice period and salary expectations.

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