Harnham - Data & Analytics Recruitment

Commercial Analytics Manager - Marketing London, hybrid - 1x a week in office Up to £95,000 + bonus This is an opportunity to take ownership of marketing analytics within a fast growing, internationally scaling healthcare business. You will sit at the heart of commercial decision making, shaping how marketing performance is measured, understood, and acted upon across multiple markets. The Company They are a global healthcare technology organisation operating in a highly regulated environment, with a strong focus on long term customer value and recurring revenue. The business is experiencing sustained international growth, particularly across Europe and other emerging markets. Data and analytics are a strategic priority, with investment in building scalable insight capabilities to support commercial and marketing teams. The Role Own and develop marketing dashboards and KPI frameworks used by senior commercial and marketing stakeholders. Partner closely with regional and country marketing teams to assess campaign effectiveness across digital, events, and healthcare professional engagement. Translate marketing activity into clear insight on ROI, funnel performance, and downstream commercial impact. Support attribution and marketing mix style analysis to connect campaigns with sales and field force outcomes. Deliver insight on market access, reimbursement, and competitive dynamics to support commercial strategy. Present clear, actionable narratives that enable better decision making across markets. Your Skills and Experience Strong commercial or marketing analytics experience within a complex or regulated environment. Hands on expertise in building dashboards and owning KPI definitions. Proven capability in campaign performance, attribution, and ROI analysis. Strong SQL skills with experience using Tableau and or Power BI. Confidence working with evolving data foundations and imperfect datasets. Ability to communicate complex analysis clearly to non technical stakeholders. What They Offer High exposure role with senior commercial and marketing leaders. Clear progression into more senior commercial analytics leadership roles. How to Apply Apply now to discuss how this role could support your next step in commercial and marketing analytics.

Lead Data Scientist London, hybrid (2-3 days in office) with some client travel expected3-5 years experience Competitive salary between £100,000 - £110,000 plus bonus This is a standout opportunity to play a key role in building and shaping a growing data science and AI consulting capability. You will work on complex, high impact problems across public and private sector clients, applying data science, machine learning and generative AI to deliver measurable, real world outcomes. You will also contribute to developing people, standards and culture within a rapidly scaling team. The Company They are a specialist consultancy known for solving complex, high value problems and guaranteeing the impact of their work. Operating across consumer, public sector, defence and infrastructure, they focus on outcomes rather than theory, with solutions tied to clear KPIs, ROI and lasting change. Data science and AI are strategic growth areas, with strong senior backing and close collaboration with leading AI technology providers. The Role As a Lead Data Scientist, you will combine hands on technical delivery with consulting influence and team development. You will work closely with client partners and stakeholders to shape, deliver and embed data driven solutions that make a tangible difference. Key responsibilities include: Designing and delivering data science, machine learning and generative AI solutions to solve real business and operational problems. Leading technical workstreams within larger client programmes, from problem definition through to deployment. Applying advanced analytics and modelling techniques in practical, production ready ways. Working on site with clients to embed solutions, drive adoption and ensure long term impact. Translating complex analytical concepts into clear, actionable insights for non technical audiences. Supporting client partners with technical input during solution design and proposal development. Coaching and mentoring junior consultants, contributing to capability building across the team. Helping define and promote best practice in data science and AI delivery. Your Skills & Experience Strong commercial experience delivering data science or machine learning solutions end to end. A consulting mindset, with the ability to influence stakeholders and operate confidently in client environments. Experience turning ambiguous problems into structured, high impact analytical solutions. Exposure to areas such as machine learning, simulation or generative AI in real world settings. A track record of delivering measurable outcomes such as efficiency gains, cost reduction or revenue impact. Intellectual curiosity and a commitment to continuous learning. A collaborative, low ego approach with the confidence to lead and support others. Eligibility for security clearance is beneficial for some projects, but not essential for all roles. What They Offer A Lead level role with clear responsibility, visibility and room to grow. Competitive salary with a performance related bonus. Strong coaching, development and progression within a growing data science and AI practice. Exposure to varied, meaningful work across multiple sectors. A central London office alongside flexible working and regular client engagement. The opportunity to help shape the future of a data science capability built around real impact. How to Apply Apply below of this sounds like the perfect opportunity for you, or email me at

Senior Research Executive London, Hyrbid Salary up to £45,00 This is a standout opportunity for a Senior Research Executive who wants real responsibility from day one and exposure to fast paced, high impact research projects. You will sit at the heart of survey delivery, combining hands on scripting, fieldwork management, and client interaction in a role that offers genuine ownership and development. The Company They are a growing data and insights business operating at the intersection of technology, research, and consultancy. Their platform enables rapid, high quality data collection for a diverse range of organisations across sectors. The environment is collaborative, delivery focused, and built around giving individuals autonomy and trust early in their career. The Role Design, script, and launch quantitative surveys using internal and third party platforms Review and improve client supplied questionnaires to ensure quality and best practice Manage fieldwork operations, including sample management and data quality checks Act as a key point of contact for clients throughout live projects Monitor projects in real time, ensuring fast turnaround and smooth delivery Produce clean data tables and outputs for analytics and consulting teams Balance tracker studies with ad hoc project work in a dynamic workload Your Skills and Experience Strong commercial experience in quantitative survey research Hands on experience scripting and managing surveys end to end Exposure to fieldwork management and sample quality control Ability to turn raw data into clear tables and structured outputs using tools such as Q or Displayr Confident communicator who is comfortable working directly with clients Flexible and proactive approach in a fast moving environment HOW TO APPLY: Apply by sending your CV to Joe by the link below

Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: Leading the design and delivery of curated, analytics ready data models within the Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business stakeholders to translate complex requirements Providing technical leadership, mentoring and setting modelling and engineering standards Contributing to CI/CD processes and wider engineering best practice across the data platform Your Skills and Experience Strong commercial experience as an Analytics Engineer within a modern data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership of technical decisions An engineering mindset applied to analytics, rather than an analyst focused role What They Offer Flexible by choice working, supporting different schedules and work life balance A 35 hour working week within a supportive, inclusive engineering culture The opportunity to shape a critical data programme with real visibility across the business How to Apply If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Senior Analytics Engineer - 12 month fixed term contract UK Remote £78,000 plus benefits This Senior Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: Leading the design and delivery of curated, analytics ready data models within the Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business stakeholders to translate complex requirements Providing technical leadership, mentoring and setting modelling and engineering standards Contributing to CI/CD processes and wider engineering best practice across the data platform Your Skills and Experience Strong commercial experience as an Analytics Engineer within a modern data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership of technical decisions An engineering mindset applied to analytics, rather than an analyst focused role What They Offer Flexible by choice working, supporting different schedules and work life balance A 35 hour working week within a supportive, inclusive engineering culture The opportunity to shape a critical data programme with real visibility across the business How to Apply If you are a Senior Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: Leading the design and delivery of curated, analytics ready data models within the Lakehouse Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks Embedding data quality, testing, reliability and performance into the curated layer Working closely with data engineers, BI teams and business stakeholders to translate complex requirements Providing technical leadership, mentoring and setting modelling and engineering standards Contributing to CI/CD processes and wider engineering best practice across the data platform Your Skills and Experience Strong commercial experience as an Analytics Engineer within a modern data platform Excellent data modelling capability, including dimensional and semantic modelling Advanced SQL skills and strong hands on experience with PySpark Experience working with Databricks and Lakehouse architectures A solid grounding in engineering best practices, testing and data quality Confidence mentoring others and taking ownership of technical decisions An engineering mindset applied to analytics, rather than an analyst focused role What They Offer Flexible by choice working, supporting different schedules and work life balance A 35 hour working week within a supportive, inclusive engineering culture The opportunity to shape a critical data programme with real visibility across the business How to Apply If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

POWER BI DEVELOPER Up to £50,000 + BENEFITS HYBRID - Leicestershire I am looking for a Power BI Developer to join a finance-focused data team. You'll be at the heart of turning data into insights across four business-critical finance areas, helping shape decision-making and drive self-service analytics. THE COMPANY: This business is moving toward a modern Gold Standard Medallion Architecture, with a focus on empowering teams through self-service analytics and scalable reporting. The data team is central to how finance operates, and your dashboards will have real visibility and impact across the business. THE ROLE: A Power BI Developer will need to: Collaborate with SQL engineers to design and deliver Power BI dashboards Partner with finance stakeholders to gather requirements and deliver tailored reporting Build engaging visualisations that use data storytelling to influence decisions Drive the adoption of self-service analytics and reduce reliance on ad hoc queries YOUR SKILLS AND EXPERIENCE: A successful Power BI Developer will have the following: Power BI experience (end-to-end dashboard development) ETL experience DAX experience Excellent communication skills for stakeholder engagement and requirements gathering THE BENEFITS: You will receive a salary of up to £50,000, depending on experience. On top of this, there are excellent benefits and the chance to be part of a transformational data journey. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Data Protection Consultant Up to £60,000 + BenefitsNottingham (on-site) This is a great opportunity to join a high-growth retail group where you can take ownership of delivering practical, business-friendly privacy guidance across a fast-moving organisation. THE COMPANY: This is one of the UK's largest retail groups, spanning major high-street and lifestyle brands. With continued expansion, global partnerships and a performance-driven culture, the Group offers exposure to a diverse portfolio of brands and the chance to build a career within a large, ambitious commercial environment. THE ROLE: Key responsibilities include: Managing and coordinating (DSARs) Supporting investigation, documentation and reporting of low-level data incidents Maintaining privacy governance documentation Supporting training and awareness initiatives across the organisation YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Ability to translate legal requirements into practical, business-friendly guidance Experience managing DSARs, incident response and privacy risk assessments Comfortable working in a large, fast-paced, complex business environment Excellent communication skills and stakeholder management THE BENEFITS: You will receive a salary of up to £60,000 depending on experience, alongside a comprehensive company benefits package. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page

Lead Product Manager London (Hybrid) Salary up to £110,000 + 15% bonus This is a standout opportunity to shape the next generation of intelligent consumer experiences. You will influence how personalisation, guidance, and decisioning come together across an entire product ecosystem, helping millions of customers get more value from their financial lives. The Company They are a fast-growing consumer technology business with a mission to help people make better long-term financial decisions. Their products support customers across savings, investing, home-buying, and retirement, with a strong culture of innovation and customer-centric design. As they evolve their platform, they are investing heavily in intelligent systems and personalised journeys that scale across their suite of products. The Role In this Lead Product Manager position, you will take ownership of how intelligence and personalisation layer across core product journeys. You will act as the connective tissue between Product, Engineering, and Decisioning teams to define systems that drive real customer value. Key responsibilities include: Designing end-to-end journey architectures that integrate intelligent capabilities. Defining how personalisation, recommendations, and guidance show up across the platform. Partnering with decisioning and data teams to translate opportunities into scalable systems. Bringing structure and clarity to complex, cross-team initiatives. Establishing patterns, frameworks, and ways of working for intelligence-driven experiences. Influencing product direction as a senior individual contributor with wide strategic impact. Your Skills and Experience You will thrive in this role if you bring: Strong commercial experience in consumer product management. Deep understanding of systems thinking, cross-journey design, and platform-level product strategy. Experience with personalisation, recommendations, behavioural nudges, or intelligent product experiences. The ability to work confidently with data, engineering, and decisioning teams. A pragmatic approach to AI and ML, understanding where these capabilities add value. Strong communication and influence across cross-functional groups. Comfort working as a senior IC rather than a people manager. HOW TO APPLY: Apply by sending your CV to Joe by the link below

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.

Data Protection Consultant Up to £60,000 + BenefitsSheffield(on-site) This is a great opportunity to join a high-growth retail group where you can take ownership of delivering practical, business-friendly privacy guidance across a fast-moving organisation. THE COMPANY: This is one of the UK's largest retail groups, spanning major high-street and lifestyle brands. With continued expansion, global partnerships and a performance-driven culture, the Group offers exposure to a diverse portfolio of brands and the chance to build a career within a large, ambitious commercial environment. THE ROLE: Key responsibilities include: Managing and coordinating (DSARs) Supporting investigation, documentation and reporting of low-level data incidents Maintaining privacy governance documentation Supporting training and awareness initiatives across the organisation YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Ability to translate legal requirements into practical, business-friendly guidance Experience managing DSARs, incident response and privacy risk assessments Comfortable working in a large, fast-paced, complex business environment Excellent communication skills and stakeholder management THE BENEFITS: You will receive a salary of up to £60,000 depending on experience, alongside a comprehensive company benefits package. HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page

Data Protection Advisor Up to £60,000 Shirebrook This is an excellent opportunity to step into a broad, hands-on privacy role where you will have real influence across a large, fast-moving commercial environment. THE COMPANY They are a major UK-based retail group with a large store network and a growing international presence. Operating multiple lifestyle, fashion and consumer brands, they work in a fast paced, performance driven environment where strong delivery is recognised. THE ROLE You will be the go-to advisor for privacy matters across the business, owning DSARs, incident handling and hands-on governance work while supporting product, marketing and commercial teams with practical, business-friendly guidance. Specifically, you can expect to be involved in the following: Act as a primary point of contact for internal teams, offering clear and practical privacy advice. Manage and coordinate data subject rights requests through established processes. Support the investigation and documentation of lower-level data incidents and breaches. Maintain and update privacy governance documentation. Review and advise on data protection clauses within supplier and commercial contracts. Advise on privacy matters to IT, HR, marketing, customer service and wider business units. Contribute to privacy training and awareness activity across the organization. SKILLS AND EXPERIENCE The successful Data Protection Advisor will have the following skills and experience: Strong commercial experience in data protection, privacy, governance or compliance. Ability to translate legal and regulatory requirements into clear, business friendly guidance. Confident managing DSARs, privacy risks and incident handling. Excellent communication skills with the ability to build trusted relationships across teams Experience in retail, large scale commercial environments or regulated industries is beneficial. BENEFITS The successful Data Protection Advisor will receive the following benefits: Salary up to £60,000 - depending on experience 20 days holiday, discounted gym membership, cycle scheme and other benefits. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page

Digital Merchandising Operations Manager London (Hybrid, 2 days in office) Up to £60,000 This is a brand-new opportunity to shape how digital insight influences key commercial decisions. You will be the digital voice across the buy cycle, directly impacting online performance, customer experience, and cross-functional trading decisions. With strong visibility and backing from senior leadership, this is a role where your recommendations will make a meaningful difference from day one. The Company They are a well-established retail brand with a growing focus on digital excellence. With increasing investment in ecommerce, data, and customer experience, they are building out their digital operations capability to better link online demand with merchandising, planning, and inventory functions. You will join a collaborative environment that values insight, proactivity, and continuous improvement. The Role You will sit within the digital visual merchandising organisation and act as the dedicated digital counterpart to Buying, Planning, Inventory, Site Operations, and Commercial teams. Your responsibilities will include: Providing insight across customer behaviour, onsite performance, availability metrics, and digital trading trends to influence pre-season planning and in-season decisions. Be the link between merchandising and digital metrics, using product views, conversions etc as part of your KPIs and decision making. Consolidating product, availability, and demand insight to shape assortment strategy and highlight opportunity areas. Flagging risks early, such as light stock positions or delivery timings that may impact digital performance. Using availability and performance data to support removal decisions, size depth alignment, and commercial optimisation. Acting as a key partner in trading forums, planning meetings, and digital alignment sessions. Managing weekly and monthly reporting to surface trends across product performance, zero sellers, customer navigation, and demand signals. Your Skills and Experience Strong stakeholder management experience, particularly with buying, planning, or inventory teams. Commercial experience in ecommerce or retail, with exposure to digital performance metrics such as conversion, product views, and availability. Confident working with data, using Excel and reporting tools to translate insight into clear, actionable recommendations. Comfortable working cross-functionally and presenting insight to senior partners. Highly organised, detail-focused, and able to operate proactively in a fast-paced environment. A collaborative, communicative personality suited to influencing decisions and championing the digital customer. What They Offer Salary up to £60,000 plus benefits. Hybrid working with two days per week in their central London office. The chance to shape a newly created function with strong senior sponsorship. Clear visibility and impact across commercial, digital, and merchandising teams. Opportunities for progression as the digital operations capability continues to grow. How to Apply If this sounds like the right next step for you, please apply with your CV for immediate consideration.