INDUSTRY
CHALLENGES
The Data & AI industry, like many areas within STEM, has long struggled with creating a diverse workforce.
Despite abundant evidence highlighting how diverse workforces perform better financially, see better retention, and have higher employee and customer satisfaction, many businesses still struggle with Diversity & Inclusion at a base level.
At Harnham, we are acutely aware of the Diversity and workforce-related challenges facing employers today. As we are in a unique position to promote better D&I across the industry, we have taken several steps to ensure that our recruitment process provides opportunities and does not further the problem. These include:
SMART
PARTNERSHIPS
As industry experts, we speak on Diversity at numerous events throughout the year where we are able to encourage diverse talent pools from various groups, including universities, to pursue and flourish in careers in the Data & AI industry. We also make a concerted effort to give a platform to a diverse range of speakers at our own events, such as our bi-monthly LinkedIn Live sessions, where we often focus on diverse industry leaders and their individual stories.
We also closely partner with three key organisations:
APSCo
WOMEN IN RECRUITMENT
We are dedicated to demonstrating gender equality to employees, clients and candidates. We are part of APSCO’s Women in Recruitment Initiative, which works to attract, develop and retain female talent.
It gives individuals access to unique development tools, mentoring and networking opportunities designed to support successful and sustainable careers for women in recruitment.
WOMEN IN
DATA
A non-profit organisation with a mission to increase diversity in the data industry, Women In Data provide awareness, education and advancement to women in tech - specifically analytics, Data Science, Machine Learning and AI.
We offer training webinars and educational resources, as well as a direct referral scheme where Women In Data send us candidates looking to enter the industry or searching for a new challenge. All referrals are provided with comprehensive and tailored advice. The focus is to offer more opportunities to women in the industry, in particular at leadership levels.
BLACK IN
DATA
Diversity and equality at work is crucial not only for social justice but also for the development of a thriving and adaptable data and technology industry in a dynamic world.
We partner with organisations such as ‘Black In Data’ which aim to accelerate the pace of positive change. This in turn enables us to be able to educate the industry, support those just entering it and raise vital awareness of this mentoring organisation.
DESIGNING SEARCHES
FOR INCLUSIVITY
Our clients are increasingly looking for diverse shortlists. We approach each search with an entrepreneurial mindset, getting under the skin of your business, its culture and your short- and long-term goals. This allows us to better identify those sectors or companies where the right candidates can be found, and conduct cross-sector searches for a wider pool of diverse candidates.
We recognise that If you want to attract a more diverse candidate pool, the language you use in your job posting and interactions with potential candidates makes a huge difference. For example, a study on job postings found that those using masculine-type words like “ambitious” and “dominate” were less appealing to female applicants. We review our adverts with this in mind to help eliminate bias and remove any unnecessary barriers.
JOB ADVERT
VETTING
DIVERSE
SOURCES
Our team rarely rely on the same sources when seeking out new candidates. Focusing on only the sources that we know best can result in a talent pool of similar candidates and a lack of diversity. To help ensure that our talent pool is full of diverse candidates, we can source from a variety of different places including online and offline groups dedicated to highlighting diverse candidates.
Our annual ‘State of Diversity in Data & AI’ report covers new research into gender and ethnicity splits, pay gaps, age and class dynamics, and the employee benefits divide. Conducting and reporting on this research allows us to not only better understand the market, but to share our findings with key decision-makers across the industry which enables us to guide our clients on Diversity and marketing dynamics. You can download our guides here.
REPORTS &
RESEARCH
ADVISING
OUR CLIENTS
Many businesses are frequently looking to improve their diversity. We work closely with our clients to advise them on how they can make increase their diversity in legal and effective ways.
Our own culture reflects the way we operate as a business and helps us influence conventions within today’s talent marketplace. Low attrition and promotion from within are the hallmarks of our truly multinational and multicultural team: our London HQ alone employs people of 14 different nationalities (speaking 13 different languages), and more than half of our global workforce is female. Additionally, our employee-led Diversity Steering Group ensures that issues surrounding D&I internally have a voice, while our CEO sits on the Steering Committee of Women in Recruitment, of which we are members.
LEADING BY &
EXAMPLE
NEED HELP WITH YOUR HIRING CHALLENGES?
Partner with Harnham
and access our unparalleled network
We specialize in sourcing candidates from underrepresented groups, ensuring that your talent pool reflects the rich tapestry of society. Our experienced team possesses the knowledge and expertise to navigate the complexities of diversity recruitment, providing you with top-tier candidates who bring unique skill sets and perspectives to the table
JOBS
LATEST DATA
OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Credit Risk Consultant
City of London
£50000 - £55000
+ Risk Analytics
PermanentCity of London, London
To Apply for this Job Click Here
Senior Credit Risk Consultant – (IFRS9)
Up to £55,000
Hybrid
London
The Company
I am hiring a Senior Credit Risk Consultant for one of the biggest UK consultancies focused on working with some of the biggest banks and fintechs in the lending market. In this role you will leading the IFRS9 wholesale and retail modelling across unsecured and secured lending using SQL and Python.
The Role
As a Senior Credit Risk Consultant, 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 Senior Credit Risk Consultant, you will need:
- Strong experience developing credit risk IFRS9, IRB, and/or Scorecards
- Experience as a credit risk using Python or SQL daily for IFRS9 development
- Experience working for a bank or in financial services
- Excellent communication skills
Benefits
Up to £55,000 + benefits package

To Apply for this Job Click Here
Lead CRM Architect
London
£90000 - £130000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
LEAD CRM ARCHITECT (HUBSPOT)
HYBRID – LONDON – 2 DAYS A WEEK IN THE OFFICE
SALARY – £90,000-£130,000
THE COMPANY
A leading B2B blockchain analytics organisation is scaling, particularly across sales and marketing. To support the next stage of scale, the business is building out a dedicated GTM Engineering function – this hire is a critical part of that build!
THE ROLE
As a HubSpot Architect, you can expect to be involved in the following:
- This is an individual contributor role that acts as the technical bridge between the operational and commercial teams.
- You’ll be the organisation’s CRM authority, owning technical and process readiness across their GTM stack, with HubSpot sitting at its core.
- You’ll take ownership of key initiatives including improving lead flows, supporting new sales process launches, and driving better integration between HubSpot and the rest of their tooling.
- Collaboration with RevOps, engineering, and commercial stakeholders will be central as you help build a scalable, efficient GTM engine capable of supporting a rapidly expanding sales organisation.
- Growth in this role comes not from people management but from increased technical scope, scale, and architectural influence.
YOUR SKILLS AND EXPERIENCE
- Hands-on expertise in HubSpot, including complex configuration, automation, and optimisation
- A background that blends marketing exposure with technical GTM/CRM ownership is great
- Experience using low-code automation tools and knowing when to partner with engineering for more advanced work
- Strong understanding of the B2B SaaS customer lifecycle and how technical architecture influences the wider funnel
- Experience in environments where you’ve built or rebuilt GTM tooling and processes multiple times
- Comfortable getting the absolute maximum value from a tech stack, including AI-assisted workflows and interaction with internal applications
- Interest in crypto or blockchain is a strong plus
- Able to work in a fast-scaling business
BENEFITS
- Salary up to £130,000
- Opportunity to build a GTM engine from the ground up in a high-growth, technically progressive organisation
- Hybrid working

To Apply for this Job Click Here
AWS Cloud Engineer
London
£70000 - £80000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
AWS CLOUD ENGINEER
Remote (UK) – £75,000 – £80,000 – No Sponsorship Available
Company
Our client is a fast-growing technology company at the forefront of generative AI innovation. They are transforming how businesses and individuals create and interact with digital content responsibly, and are looking for top talent to join their forward-thinking team.
Responsibilities
We are looking for an AWS Cloud Engineer to help design, implement, and maintain cloud infrastructure that powers cutting-edge AI applications. Key responsibilities include:
- Build and manage scalable AWS infrastructure for AI workloads
- Develop CI/CD pipelines with GitHub Actions and maintain clean version control
- Implement infrastructure as code using AWS CDK (Python/TypeScript) and Terraform
- Write maintainable automation and tooling code in Python and TypeScript
- Configure AWS services for compute, storage, networking, and AI/ML workloads
- Collaborate with development and data teams to deliver practical infrastructure solutions
- Automate deployment, monitoring, and management processes
- Troubleshoot issues and ensure cloud environments are secure and reliable
Requirements
- Proven experience as a Cloud Engineer or similar AWS-focused role
- Strong Python and TypeScript programming skills
- Experience with GitHub Actions for CI/CD
- Expertise in infrastructure as code using AWS CDK and Terraform
- Knowledge of cloud networking, security, and monitoring
- Familiarity with Docker/Kubernetes and automation scripting
- Strong problem-solving skills, attention to detail, and ability to work independently and collaboratively
Highly desirable
- AWS certifications (e.g., DevOps Engineer, Solutions Architect)
- Experience with AWS generative AI services (Bedrock, SageMaker)
- Open-source contributions demonstrating engineering best practices
Benefits
- Work on cutting-edge generative AI projects
- Join a talented, innovative team
- Competitive salary and benefits package
- Opportunities for professional growth and skill development
- Make a real impact in a fast-growing, dynamic business

To Apply for this Job Click Here
Senior Data Scientist
London
£70000 - £100000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London – (3 days a week in office)
Up to £100,000
About the Role
Our client is an data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They bring together expertise across data, technology and delivery to build and deploy advanced analytics solutions that have real-world impact.
As a Data Scientist, you’ll work closely with cross-functional teams to design, build and productionise data science and analytics products within client environments. Your work will be directly tied to value creation, helping organisations make smarter, data-driven decisions.
Key Responsibilities
- Understanding business challenges and translating them into value-linked data science solutions.
- Working closely with data engineers to define data requirements and pipelines.
- Performing exploratory data analysis and recreating key business KPIs.
- Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards.
- Developing, deploying and maintaining machine learning models.
- Evaluating project impact through experimentation and A/B testing.
Your work will focus on delivering high-value insights and solutions, including:
- Building optimisation models to improve efficiency and throughput.
- Developing predictive models to reduce risk and prevent downtime.
- Designing churn prediction strategies to improve customer retention.
- Identifying next-best actions to support sales and commercial teams.
- Applying geospatial modelling to optimise footprint and location strategy.
What We’re Looking For
- At least 2+ years’ experience applying data science to deliver commercial impact.
- A strong academic background (Bachelor’s degree 2:1 or above in a quantitative subject).
- Strong Python skills (Pandas, NumPy, Scikit-learn or similar).
- A collaborative mindset with excellent communication skills.
- Experience working in cross-functional teams delivering production-ready solutions.
If this role looks of interest, apply below.

To Apply for this Job Click Here
Head of Credit Risk – Mortgages
London
£90000 - £120000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
HEAD OF CREDIT RISK – MORTGAGES
UP TO £120,000 + EQUITY
LONDON
A rapidly growing UK fintech delivering ethical, shariah-compliant home finance solutions as an alternative to traditional mortgages. The company’s core offering enables customers to purchase and refinance residential property without interest through a co-ownership Home Purchase Plan certified under Islamic finance principles, combining modern technology with accessible underwriting. It is FCA-regulated and focused on making home ownership fairer, more inclusive, and aligned with diverse customer values.
THE ROLE
You can expect to be involved in the following day to day:
- Lead and continuously evolve the credit risk strategy, ensuring a clearly defined risk appetite aligned with sustainable growth objectives
- Own credit risk oversight across core residential and investment property lending portfolios
- Provide senior credit risk leadership on the design and launch of new lending products, including short-term and commercial real estate finance
- Balance commercial growth ambitions with robust risk governance, controls, and decision-making frameworks
- Act as a key senior stakeholder within a fast-growing, purpose-driven financial services organisation
SKILLS AND EXPERIENCE
- Mortgages/Property Finance experience in credit risk analytics is a must
- Senior Manager+ level of experience
- Strong numerical degree
HOW TO APPLY
Please register your interest by sending your CV to Shane McWilliams via the Apply link on this page.

To Apply for this Job Click Here
Analytics Manager
London
£75000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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
-
Initial interview (30-45 mins) – with Analytics Leadership
-
Task stage – demonstrate analytical thinking and communication
-
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
Data Governance Consultant
Amsterdam
€70000 - €80000
+ Data Management & Governance
PermanentNetherlands
To Apply for this Job Click Here
Senior Data Governance Analyst
Amsterdam, The Netherlands
Salary up to 80k
THE COMPANY
This international organisation are looking for a Senior Data Governance Analyst to work within their growing Data team. Since their establishment they have won multiple awards and are now looking to grow their data function. This is a really exciting opportunity to be part of a greenfield working environment and work across a variety of projects.
THE ROLE
In this you will be instrumental in developing and implementing a comprehensive data governance framework. You will collaborate with cross-functional teams to define data policies, standards, and procedures, ensuring adherence to regulatory requirements and industry best practices. This is an exciting opportunity for a seasoned data governance professional who is passionate about shaping the data landscape of a forward-looking organization.
Responsibilities:
- Develop and implement a robust data governance framework, including policies, standards, and procedures.
- Collaborate with stakeholders to define and document data quality standards and metrics.
- Establish and enforce data governance best practices to ensure data integrity, security, and compliance.
- Lead efforts to classify and categorize data assets, and implement access controls based on sensitivity.
- Oversee data stewardship programs, ensuring accountability for data quality and ownership.
- Collaborate with IT and business units to implement and monitor data governance initiatives.
- Stay current on industry trends, regulations, and emerging technologies related to data governance.
Qualifications:
- Bachelor’s or Master’s degree in Information Management, Data Science, or a related field.
- Proven experience in data governance, data management, or a related role.
- In-depth understanding of data governance principles, practices, and industry standards.
- Familiarity with regulatory requirements related to data, such as GDPR, HIPAA, or other industry-specific standards.
- Strong communication and interpersonal skills, with the ability to influence and drive change.
- Experience in implementing data governance tools and technologies is a plus.
Benefits:
- Fantastic benefits on offer

To Apply for this Job Click Here
Data Engineer
London
£50000 - £60000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Data Engineer
London – Hybrid (3 days) – £50,000 – £60,000
Company
Our client is a London-based company specialising in advertising and audience measurement. They provide independent, high-quality audience metrics and insights from advertising campaigns, leveraging multi-year datasets including telco and movement data. Working with major industry partners, the organisation focuses on delivering accurate, actionable insights for the out-of-home advertising sector, supported by a small, close-knit team.
Responsibilities
As a Data Engineer, you will be a key contributor to building and maintaining the company’s data infrastructure. Responsibilities include:
- Build, manage, and maintain data pipelines across GCP and on-prem Proxmox environments
- Ingest and manage new datasets, including ongoing feeds from Ipsos
- Ensure reliable, GDPR-compliant delivery of data to analysts and researchers
- Load and manage data in PostgreSQL and BigQuery
- Develop and support API-based data ingestion pipelines
- Manage and optimise cloud and on-prem infrastructure for reliability and efficiency
- Perform Linux and networking tasks related to on-prem systems
- Support ad-hoc and exploratory data projects as required
Requirements
- 2+ years commercial experience in data engineering or related roles
- Hands-on experience with GCP and Terraform
- Strong Python and SQL skills
- Working knowledge of Linux environments and basic networking
- Interest in data engineering, infrastructure, and understanding data flow
- Comfortable working in a small, collaborative team and taking initiative
Nice-to-have
- Exposure to data science concepts
- Curiosity about how data is used across a business
- Experience with Proxmox or similar virtualization environments
Benefits
- Competitive salary: £50-60K
- Work from the London office (3 days/week) with flexibility for remote working
- Opportunity to work in a small, highly collaborative team with direct impact
- Exposure to cloud and on-prem infrastructure, building end-to-end data pipelines
- Professional development and opportunities to grow within the company

To Apply for this Job Click Here
Lead Marketing Analyst
London
£60000 - £80000
+ Advanced Analytics & Marketing Insights
PermanentLondon
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:
-
Expanding and strengthening its core digital products.
-
Enhancing customer experience to drive engagement and loyalty.
-
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
-
1st stage: Zoom interview with senior marketing leadership.
-
2nd stage: Take-home task + panel presentation.
-
3rd stage: Final interview with executive team.

To Apply for this Job Click Here
Data Scientist
London
£90000 - £110000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Data Scientist
Up to £110,000
London (Hybrid, 4 days onsite per week)
About the role:
Join a leading corporate venture capital firm, within the secondaries space who invest and partner with start-ups across multiple industries, helping them scale and achieve global impact.
Key Responsibilities:
- Collaborate with the deal team to pinpoint where data science can add value to the investment process.
- Create data tools and dashboards to support investment decisions and portfolio monitoring.
- Analyse large datasets to derive actionable insights for investment strategies, effectively communicating these to senior stakeholders.
- Work with the VP of Data and the investment team to improve data solutions.
- Proactively investigate new data science methodologies and technologies to benefit team objectives.
What We’re Looking For:
- MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
- Strong coding skills in Python and SQL
- Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment
**Please note that this role does not offer visa sponsorship**

To Apply for this Job Click Here
Credit Risk Model Manager
London
£50000 - £70000
+ Risk Analytics
PermanentLondon
To Apply for this Job Click Here
CREDIT RISK MODEL MANAGER
£70,000
LONDON
This role is an exciting opportunity to join a well-known consultancy in a time of growth. This position offers the chance to work on a broad range of projects and use Python as this is rolled out across the business.
THE COMPANY
This client is an established consultancy who specialise in analytics, with this role focusing specifically on credit risk model monitoring and audit. You could work with a range of businesses across the UK including banks and FinTechs. This is a really exciting time for the business as they implement Python and AI, offering the chance to get involved in this when not on project work.
THE ROLE
Your work will vary significantly based on projects, however you can expect to:
- Analyse and monitor a range of models including IFRS9, IRB, Stress Testing and wider credit risk models
- Work on model validations, audits, oversight and wider implementation
- Use Python for client work as the business roll this out across teams
- Work on climate risk analysis and wider monitoring
YOUR SKILLS AND EXPERIENCE
- Prior experience with Scorecards,IFRS9 or IRB models in either a development or validation role
- Strong knowledge and experience using Python
- Excellent communication skills and experience working closely with stakeholders
- Educated to at least degree level in a numerate degree
SALARY AND BENEFITS
- Up to £70,000 base salary
- Discretionary bonus
- Private health insurance
- Pension contribution scheme
- Cycle to work scheme
HOW TO APPLY
Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

To Apply for this Job Click Here
Marketing Analayst
London
£45000 - £50000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
MARKETING DATA ANALYST
UP TO £50,000
LONDON – HYBRID (2X PER WEEK IN OFFICE)
*Please note, you must be a UK resident and hold full right to work*
ABOUT THE BUSINESS
This is a brand and social impact agency with over 20 years’ experience helping organisations connect meaningfully with young people. A core part of the business focuses on deep engagement with the UK and Ireland education systems, working in partnership with schools and delivering education-led campaigns at scale.
THE ROLE
This is a varied, fast-paced, agency-style Data Analyst role combining hands-on analysis, forecasting, CRM insight, and increasing client-facing engagement over time.
KEY RESPONSIBILITIES
Analysis & Insight
- Act as a triage point for incoming data questions and analysis requests.
- Analyse client-provided datasets in multiple formats, often working with complex Excel files.
- Translate data into clear, insight-led narratives for internal and external stakeholders.
Forecasting & Modelling
- Support campaign forecasting and modelling, including predicting school registrations.
- Advise on channels, timelines, and expected outcomes based on data-led assumptions.
- Contribute to the development of longer-term forecasting capability.
Data Quality & Methodology
- Ensure consistently high standards of data quality, accuracy, and validation.
- Confidently explain methodology and analytical approach for high-impact work.
- Take ownership of outputs that influence campaign delivery and business planning.
Systems & Reporting
- Work with a relational database supporting an education-focused partnership product.
- Use SQL-driven analysis to feed Power BI dashboards and reporting.
- Select appropriate tools and techniques depending on data structure and campaign needs.
SKILLS & EXPERIENCE REQUIRED
- Advanced Excel skills (VLOOKUP/XLOOKUP, conditional formatting, charts, visualisation).
- SQL experience (joins, selects, data manipulation).
- Comfortable working with relational databases.
- Power BI for reporting and data visualisation.
- Python or R (interest is sufficient; not essential).
- Exposure to forecasting beyond basic historical analysis.
WHY APPLY?
- Join a purpose-led agency where data directly influences real-world outcomes.
- Take ownership in a business-critical role with visibility and impact.
- Work across analysis, forecasting, CRM insight, and client-facing projects.
- Be part of a growing data function with clear long-term progression and salary growth.

To Apply for this Job Click Here
Industry Hub
HARNHAM
News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
How a Leading European Media Group Unified Its Data Strategy with Harnham
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