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Geospatial Insight & Analytics Manager
Location: Leeds (Hybrid, 3 days per week in the office)
Salary: £65,000 + £5,700 car allowance + 13.5% bonus

The Company
A nationally recognised retail and logistics business is looking for a Geospatial Insight & Analytics Manager to join their data function. The team plays a crucial role in using location-based data to drive smarter, faster commercial and customer decisions, and this role will lead high-impact projects across location planning, network design, and targeted marketing.

The Role
This is a rare opportunity to shape the future of how geospatial analytics supports core strategic decisions in a business that owns and operates hundreds of sites across the UK. You will manage one analyst and work closely with senior stakeholders across marketing, operations, and commercial teams.

Key Responsibilities:

Spatial Insight & Strategic Decision Support

• Translate business questions into geospatial data-driven insight

• Use spatial modelling to solve problems around store planning, network optimisation, and targeted customer engagement

• Identify whitespace opportunities based on demographics, mobility, and purchasing behaviour

Advanced Geospatial Analytics

• Apply tools like Databricks, ArcGIS, SQL, and Python to build models, test hypotheses, and scale geospatial insight

• Integrate datasets like HST (High Street Trading), customer segmentation, and footfall into spatial analysis workflows

• Conduct segmentation and clustering work to highlight geographical patterns

Stakeholder Engagement & Storytelling

• Build dashboards and data visualisations that clearly communicate insights

• Collaborate with non-technical stakeholders to translate complex spatial data into business recommendations

• Present analysis at senior levels and influence investment and location decisions

Leadership & Team Development

• Line manage and support a Geospatial Analyst

• Contribute to building a geospatial community of practice

• Upskill and mentor other team members on geospatial thinking

Skills & Experience

Essential:

• Solid background in geospatial analytics or customer insight with a spatial focus

• Strong skills in SQL and/or Python

• Hands-on with ArcGIS or similar GIS tools (e.g., QGIS, MapInfo, Alteryx)

• Experience in building models for location planning, delivery optimisation, or customer segmentation

• Confident communicator with the ability to translate data into strategic impact

Desirable:

• Experience in retail, logistics, transportation, or infrastructure industries

• Familiarity with working in Databricks or similar cloud environments

• Understanding of demographic and economic datasets relevant to location modelling

• Experience in line management or mentoring

Benefits:

• £65,000 base salary

• £5,700 car allowance

• 13.5% bonus

• Hybrid working from Leeds (3 days per week onsite)

• High exposure to senior stakeholders and strategy

• Diverse data environment and strong investment in tooling

How to Apply
Interested? Send your CV to Mohammed Buhariwala at Harnham via the Apply link on this page.

Keywords
Geospatial Analytics, Location Planning, Spatial Insight, GIS, ArcGIS, Databricks, Python, SQL, Retail Strategy, Network Optimisation, Data Science, Hybrid Working, Leeds

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Geospatial Analytics Manager

Location: Leeds (Hybrid)
Salary: £60,000-£70,000 + Bonus

The Company

A nationally recognised UK brand is hiring a Geospatial Analytics Manager to drive insight across its location strategy, network planning, and spatial customer analysis. With continued investment in data and analytics, this is a great opportunity to lead high-impact projects within a commercially focused team.

The Role

You’ll manage a small team delivering geospatial analysis across site performance, catchment optimisation, and customer behaviour. You’ll be hands-on with GIS tools and work closely with stakeholders across property, strategy, and marketing to inform decision-making.

Key Responsibilities:

• Deliver spatial insight using GIS tools (Esri preferred)

• Lead projects on catchment analysis, network optimisation, and competitor benchmarking

• Use SQL or Python to support spatial modelling and analysis

• Visualise data for stakeholders and drive adoption of geospatial insight

• Manage and mentor a small team

Skills & Experience:

Essential:

• Strong experience with GIS tools (Esri preferred)

• SQL or Python for data manipulation

• Spatial analysis and mapping expertise

• Confident stakeholder communicator

• Team leadership or mentoring experience

Desirable:

• Experience in retail, logistics, or multi-site environments

• Familiarity with Alteryx, Tableau, or Power BI

Why Apply?

• Shape geospatial strategy at a well-known UK brand

• Work on strategic projects with commercial impact

• Hybrid model with Leeds HQ

• £60,000-£70,000 + bonus

How to Apply

Send your CV to Daniel Abbasi via the Apply link on this page or reach out directly to learn more.

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Customer Insight Analyst
Location: Leeds (Hybrid – 1 day per week in office)
Salary: Up to £45,000 (depending on experience)

The Company
A well-established digital platform with over a million active users across the UK, offering technology-led subscription services in a fast-scaling consumer market. Known for its innovation in healthcare and eCommerce, the business has seen rapid growth in recent years and is continuing to expand its analytics capabilities. The Customer Insight Analyst will play a key role in shaping customer and marketing strategies by translating behavioural data into commercial insight.

The Role
This is a hands-on role focusing on customer analytics, segmentation, and marketing performance. You’ll be responsible for building dashboards, analysing behavioural trends, and guiding strategic decisions across acquisition, retention, and customer lifetime value. The role suits an analyst who’s confident with SQL, data visualisation tools like Tableau, and who can bridge the gap between data and non-technical stakeholders.

Key Responsibilities

• Deliver insight to support acquisition, retention, and growth strategies

• Build and maintain a scalable Single Customer View (SCV) combining CRM, transaction, and engagement data

• Develop segmentation models based on lifecycle stage, engagement, and behaviour

• Analyse campaign performance and customer trends to optimise marketing strategy

• Create dashboards and reports in Tableau to communicate insights clearly to stakeholders

• Work closely with marketing, commercial, and data teams to drive cross-functional action

• Ensure high standards of data quality, governance, and compliance

• Stay updated on trends in customer analytics, eCommerce, and digital health

Skills & Experience

Essential:

• Strong SQL skills for data extraction and manipulation

• Experience using Tableau or a similar data visualisation tool

• Proven track record in customer analytics or marketing insight roles

• Ability to communicate insights clearly to non-technical stakeholders

• Experience with campaign analysis, customer segmentation, and lifetime value modelling

• Commercial mindset with a focus on growth and retention

Desirable:

• Experience with GA4, BigQuery, or other advanced analytics tools

• Familiarity with churn, retention, or cross-sell modelling

• Background in healthcare, eCommerce, or subscription-based businesses

• Exposure to scripting languages such as Python

Interview Process
1st Stage: Introductory screen
2nd Stage: Task-based panel interview with senior stakeholders

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

Keywords
Customer Insight, SQL, Tableau, Marketing Analytics, Customer Segmentation, SCV, Acquisition, Retention, Churn, Lifetime Value, Behavioural Data, eCommerce, Subscription, Healthcare, CRM, Growth Strategy, Hybrid, Leeds.

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Digital Merchendising Executive – Contract Opportunity
Leeds (2-3 days per week on-site)
£100 – 150 per day | Outside IR35
Immediate Start | 12-Week Contract | Potential to Go Permanent

We’re working with a forward-thinking retail and healthcare group looking for a proactive and detail-oriented Digital Merchendising Executive to support their digital trading and merchandising activity across multiple consumer websites.

You’ll play a key role in ensuring product listings are accurate, engaging, and optimised for both conversion and discoverability, while collaborating closely with trading and marketing teams to support ongoing campaigns.

Key Responsibilities

• List new products across multiple ecommerce sites, ensuring timely and accurate uploads to support marketing activity.

• Create compelling, SEO-friendly product content and ensure imagery meets brand standards.

• Manage product categorisation and site taxonomy for improved navigation and searchability.

• Merchandising homepage and category banners in line with seasonal and promotional activity.

• Test promotional codes and pricing to ensure smooth customer experiences across platforms.

• Collaborate cross-functionally to align on product priorities, promotions, and content strategy.

• Analyse performance of merchandising and personalisation tools to inform improvements.

• Support in compiling ecommerce performance reports and regular trading updates.

• Monitor competitor activity for pricing, range, and promotional benchmarking.

• Research and suggest digital tools and technologies (including AI) to improve processes and customer experience.

• Maintain up-to-date pricing and site content to ensure accuracy at all times.

About You

• At least 1 year of experience in digital marketing or ecommerce, or 2+ years in a similar role without a degree.

• Comfortable using ecommerce platforms or content management systems.

• Good understanding of merchandising fundamentals and ecommerce best practices.

• Confident using spreadsheets (Excel or Google Sheets) for data management.

• Experience working in a fast-paced, multi-site retail or digital environment.

• Self-starter with strong time management skills and the ability to handle multiple tasks.

• Analytical mindset with a willingness to learn and adapt to new tools and digital trends.

• Excellent communicator and collaborative team player.

This is an exciting opportunity for someone looking to make an immediate impact in a growing digital team. The role is part-time (2-3 days per week in Leeds) and offers the potential to go permanent for the right candidate.

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Lead Credit Risk Analyst – (Scorecards)

Up to £55,000

Hybrid

Leeds

The Company

I am hiring a Lead Credit Risk Analyst for one of the biggest UK banks focused on providing unsecured and secured lending to their customers. In this role you will leading the scorecard modelling credit cards and loans using SAS and SQL daily in the role.

The Role

As a Lead Credit Risk Analyst, you will be:

• Developing credit risk application and behavioural scorecard models
• Using analytics skills to improve credit risk strategies
• Monitoring the performance or the scorecard and the portfolio performance.
• Working with and presenting to senior stakeholders daily within the role.
• Using SAS to develop credit risk models daily.

Your skills and experience:

To be successful as a Lead Credit Risk Analyst, you will need:

• Strong experience developing credit risk scorecards
• Experience as a credit risk using SAS or SQL daily for scorecard development
• Experience working in unsecured lending portfolios
• Experience working for a bank or in financial services
• Excellent communication skills

Benefits

Up to £55,000 + benefits package

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Customer Insights Analyst
Up to £45,000 + bonus
Hybrid – Leeds (1x day a week)

THE CLIENT
This is an exciting opportunity for a Customer Insight Analyst to join an industry-leading ecommerce organisation.

THE ROLE
We are seeking a skilled Customer Data Analyst to deliver actionable insights that drive effective customer acquisition, retention, and growth strategies. In this role, you will design and maintain a scalable Single Customer View (SCV) by integrating CRM, transaction, and engagement data. You will also develop segmentation models based on customer lifecycle stages, engagement intensity, and behavioral patterns to help tailor our marketing and customer experience initiatives.

YOUR SKILLS
SQL
Data Visualisation

NICE TO HAVE SKILLS
Python
Google Analytics
Retail and Pharmacracy

APPLY
Send an email or apply below to register your interest

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LEAD CREDIT RISK ANALYST

LEEDS, HYBRID WORKING (3 DAYS PER WEEK IN OFFICE)

COMPETITIVE SALARY UP TO £60,000

A leading financial institution is looking to expand its Credit Risk strategy team by bringing in a new Lead Analyst to enhance the company’s lending policy and develop new strategy proposals. You’ll be able to work with a team of talented individuals and develop your skills.

THE COMPANY

This global business is well-established in the market and is known for its high-quality talent and collaborative work culture.

THE ROLE

• Predominantly focused on the design of acquisition strategies and setting risk appetite
• Maintain and monitor existing strategies and portfolios, identifying areas for improvement
• Collaborating with the underwriting team to understand customer eligibility
• Engaging with senior stakeholders, building consensus, and negotiating strategy proposals

YOUR SKILLS AND EXPERIENCE

• Credit Risk strategy experience, working on an unsecured portfolio
• Strong interpersonal communication skills
• Proficiency in either SAS, SQL, Python

THE BENEFITS

• Salary up to £52,000
• Hybrid working policy (3 days a week in office)
• Holiday entitlement
• Strong pension contributions
• Bonus scheme
• Private healthcare
• This role does NOT offer sponsorship

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV directly

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Geospatial Analytics Manager
Up to £70,000
Hybrid – Leeds (3x days a week)

THE COMPANY
We have partnered with a retail organisation that is looking for a Geospatial Analytics Manager.

THE ROLE
In this role, you will contribute to a range of projects, including location planning, network optimization, targeted marketing, as well as customer clustering and segmentation.

SKILLS AND EXPERIENCE
Strong geospatial experience
SQL or Python
Exposure to GIS tools – especially ESRI
Insight analysis skills

APPLY
Send an email to riversteytler@harnham or apply below to register your interest

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LEAD SCORECARD MODELLER

COMPETITIVE SALARY UP TO £60,000

LEEDS, HYBRID WORKING (3 DAYS PER WEEK IN OFFICE)

In this role, you’ll be focusing on leading projects to develop behavioural and application scorecards for a range of retail portfolios across the bank. You’ll be working within a talented, dynamic team and be able to mentor more junior members.

THE COMPANY

This company is a global bank that provides innovative and data-driven financial solutions to millions of customers and businesses across the world. You’ll be able to work alongside and learn from talented individuals with decades of experience.

THE ROLE

• Develop behavioural and application scorecards for a range of portfolios and products.
• Lead teams and projects, ensuring junior members have direction and the models are effective.
• Potential to develop challenger scoring models using machine learning techniques

YOUR SKILLS AND EXPERIENCE

• 3+ Years of Credit Risk Analytics experience
• Experience developing models is required
• Scorecard modelling experience is a strong preference
• SAS proficiency is essential
• R/Python proficiency is beneficial

THE BENEFITS

• Competitive salary up to £60,000
• Hybrid working
• Strong bonus scheme
• Strong pension scheme
• Private medical

HOW TO APPLY

Please register your interest via the apply link on this page or send your CV directly

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LEAD CREDIT RISK SCORECARD MODELLER

£50-60,000

LEEDS + OTHER LOCATIONS ACROSS UK

Very exciting role here with a leader in the UK banking space. This role would enable you to lead model development and implementation across the full product suite.

THE COMPANY

This growing UK Bank are seeking an experienced candidate to lead scorecard development across their unsecured and unsecured portfolios. This role offers an excellent opportunity to work directly on end-to-end development projects, as well wider work on implementation and challenger models.

THE ROLE

• Developing end-to-end scorecards and wider predictive models
• Model enhancement and integration of ML techniques to bolster the model suite
• Broader portfolio analysis and driving insight into customer trends and behaviours
• Close work with internal and external stakeholders to drive business performance
• Co-ordination with wider teams to deploy models and working closely with senior stakeholders to implement change

YOUR SKILLS AND EXPERIENCE

• Prior consumer lending experience is essential
• Prior scorecard experience, in either development or implementation, is essential
• Experience using SAS
• Experience using Python/R is desirable

SALARY AND BENEFITS

• Base salary of up to £55-60,000
• Discretionary bonus
• Pension contribution scheme
• 26 days holiday
• Private medical scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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