data clean, and our processes efficient. What You’ll Be Doing CRM Management Maintain, enhance, and monitor CRM systems like Bullhorn and HubSpot. Manage integrations with tools like Bullhorn Analytics, Devyce, HubSpot, and our Early Careers platform. Support users across the business to ensure smooth daily operations and accurate reporting. Data Integrity and Maintenance Keep our data clean and consistent … Automate and Bullhorn Automation. Collaborate with stakeholders to streamline processes and reduce manual tasks. Produce detailed KPI reports and dashboards for leadership and teams using Power BI, Excel, and Analytics Dashboards. Integration & Migration Management Support CRM integration with company websites and job boards. Troubleshoot real-time issues affecting marketing and recruitment. Lead CRM migration projects from planning and data mapping … a range of internal and external stakeholders. Tech Stack You’ll Be Working With CRMs: Bullhorn, HubSpot Automation: Microsoft Power Automate, Bullhorn Automation Data & Reporting: Power BI, SQL, Excel, Analytics Dashboards This is a brilliant opportunity to shape how data flows through Kernel and make a real impact across the business. If you’re passionate about systems, data, and collaboration More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Harnham
growth, innovation, and customer-centric decision making. With a strong focus on actionable insights, this company supports a wide range of clients in transforming their marketing strategies through advanced analytics and data science. The Role As a Senior Marketing Data Scientist , you’ll play a critical role in solving complex business challenges through data. From shaping the problem to delivering … data-driven solutions and insights, you'll collaborate closely with clients and internal stakeholders to drive measurable impact. Projects span a range of advanced analytics including propensity modelling, clustering, regression, and forecasting . Key Responsibilities Translate business problems into data science solutions and deliver clear, actionable insights. Collaborate directly with clients, answering key questions and influencing strategy. Work across a More ❯
automation to increase data accuracy and reduce manual workload. Collaboration : Work closely with IT, Operations, and other internal teams to implement automation solutions and optimize performance reporting systems. Dashboard & Analytics Creation : Design and implement interactive dashboards to track key performance metrics and generate actionable insights for senior leadership. Change Management : Lead change management initiatives for process improvements, ensuring smooth adoption … through training and clear communication. Investment Attribution : Provide support in performance attribution analysis, ensuring reports meet both internal and client requirements. Overview: Experience in Investment Performance, Data Analytics, or a related field. Strong understanding of Fund Administration, NAV production, and performance measurement methodologies. Expertise in building interactive dashboards using tools like Power BI, Tableau, and advanced Excel. Proven experience in More ❯
City of London, London, United Kingdom Hybrid / WFH Options
The Digital Recruitment Company
resolved appropriately. To use data to build historical trend analyses and provide reporting. Your Responsibilities and Tasks Monitoring & Incident Detection Implement and manage Azure Monitor, Application Insights, and Log Analytics to track system performance. Set up automated alerts for App Service, SQL Database, and Blob Storage to detect anomalies. Create and maintain synthetic monitoring for proactive issue detection. Establish real … experience. 3+ years’ experience in cloud monitoring, data analysis, or DevOps support. Strong knowledge of Microsoft Azure services (App Service, SQL Database, Blob Storage, Azure Monitor, Application Insights, Log Analytics). Proficiency in KQL (Kusto Query Language) for log analysis. Experience with automation scripting (PowerShell, Python, or Azure Functions). Desirable Familiarity with SIEM tools (Splunk, ELK, Azure Sentinel) Microsoft More ❯
Performance Monitoring and Reporting Define, track, and communicate value-driven KPIs, ensuring that product success is measured by its impact on legal service efficiency and client experience. Use data analytics to drive decision-making, continuously refining product strategy based on performance insights. Regularly present insights, progress, and strategic updates to senior leadership and key stakeholders. Resource Planning and Management Develop … negotiate to achieve project goals. Analytical and Problem-Solving Abilities Data-Driven Decision Making: Strong analytical skills to interpret data, identify trends, and make informed decisions. Experience with data analytics tools and techniques. Experience working in a data driven development methodology focused on value metrics and iterative approaches. Innovative Thinking: Ability to generate creative solutions to complex problems. Openness to More ❯
Senior Analytics Engineer Central London (1 day per week in office) Up to £80,000 The Company A high-growth, tech-led scale-up shaking up the insurance space, now building flexible, usage-based insurance products for modern businesses, with data at the core of every decision. Backed by strong investment and their own UK insurance license, they’re scaling … fast and investing heavily in their data function. The Role Sitting within a newly-formed Analytics Engineering function, this role is ideal for someone who enjoys end-to-end ownership, from designing clean dbt models to working closely with business stakeholders. You'll help shape the way data is modelled, documented, and served across the business, working with a modern … into reliable datasets Collaborate with teams across product, ops, marketing, and finance Improve data quality, documentation, and platform reliability Integrate data from key third-party sources Support self-serve analytics through Looker What They’re Looking For Previous experience in an analytics engineering role (or similar) Strong experience with SQL, dbt, and Snowflake Someone just as confident building models as More ❯
sciences. You will work will directly influence compensation strategies that align with the fast-paced, innovative culture of the sector. What the role involves: Data Analysis & Insights – Utilise data analytics to build market compensation trends within each sector. Translate large datasets into actionable insights and providing clients with a clear understanding of their market positioning. Benchmarking & Market Research – Conduct comprehensive More ❯
Senior Associate – Strategy, Growth & Analytics | Up to £58,000 🚀 Ready to escape the DD machine and help PE-backed businesses grow smarter? This isn’t just another strategy job. This is a chance to work directly with experienced operators, ex-investors and technologists to build out the next-generation GTM consultancy . You’ll be working with high-growth, PE … and they’re hiring people who can grow with them. 📆 The Day-to-Day Own strategic workstreams across GTM, channel, product and customer strategy Analyse data from CRMs, web analytics and sales platforms (SQL, Python, Tableau) Collaborate with clients and project leads to develop actionable insights Present findings and recommendations, not just reports Contribute to the firm’s proprietary tech … tools and long-term business building 🧠 The Ideal Candidate 2–4 years in strategy consulting, commercial analytics or PE-related roles Fluent in SQL and/or Python, and visualisation tools (Tableau preferred) Experience in segmentation, marketing analytics, or GTM planning Comfortable with ambiguity and complexity, and can spot the ‘so what’ Ambitious, team-oriented and excited by the idea More ❯
City of London, London, England, United Kingdom Hybrid / WFH Options
INTEC SELECT LIMITED
Risk Reporting & Analytics Team Lead – Snowflake | Power BI | Banking Overview: A leading global financial institution is looking for an experienced and strategic leader to head its Risk Analysis and Reporting function. This is a key role for a delivery-focused professional with a technical background and a deep understanding of risk systems, who can drive innovation across Business Intelligence and … performing national team and play a central role in enhancing data capabilities using Snowflake and Power BI. Role & Responsibilities: Lead and mentor a team of 10–15 data and analytics engineers Oversee delivery of risk reporting solutions across Market, Credit, and Enterprise Risk Liaise with risk managers and modellers to translate business needs into data solutions Drive project delivery, performance … and team development Support strategic growth of the Snowflake platform and Power BI capability Ensure alignment with risk and regulatory standards Essential Skills & Requirements: Strong leadership in BI, analytics, or data engineering, ideally within banking 5+ years of Snowflake experience with deep platform knowledge Proven experience with Power BI and server-based reporting environments Strong proficiency in SQL, including joins More ❯
Role Summary: We are looking for a highly versatile individual to lead the integration of data and analytics into product and portfolio decision-making. This role is a unique combination of Technical Business Analysis , Data Analytics , and Product Ownership — aimed at building a data-driven culture within the internal IT function. The ideal candidate will bring a balance of business … Tableau. Required Experience: • 5+ years of experience in a blended role (e.g., Technical BA, Data Analyst, Product Owner) within IT or data-driven environments. • Proven track record of integrating analytics into product/portfolio management processes. • Strong hands-on expertise in Power BI , Tableau , and SQL . • Experience working in agile environments and supporting cross-functional teams . • Strong communication More ❯
Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling … partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). … Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal More ❯
Data Product Manager Salary: Up to £95,000 + 20% bonus Location: Central London | 2–3 days a week in office Join an ambitious new real estate and property analytics company - driving the development of business intelligence products and leading a growing data team. ROLE AND RESPONSIBILITIES Co-lead the data function, managing a team of 3 engineers (SQL and … the end-to-end product management and development of BI solutions. Work with stakeholders to design, build and maintain scalable data products. Drive best practices for data engineering and analytics workflows. Act as the technical bridge across cloud infrastructure, coding, and visualisation. SKILLS AND EXPERIENCE Required 5–7 years’ experience in small-to-medium companies (under 300 people preferred). More ❯
Senior Power BI Developer Holborn, London – Hybrid (3 days in office) Up to £70,000 + benefits The Company A growing data consultancy delivering AI-powered customer analytics solutions across a wide range of industries. With a strong focus on insight automation and platform-led delivery, their work sits at the intersection of product, data science, and commercial decision-making. … working with cloud platforms, ETL tools, and performance tuning Confident leading sessions with both technical and non-technical stakeholders Why Apply his is a key role within a growing analytics function, offering the chance to fully own BI delivery while collaborating with high-level stakeholders. With complex data pipelines and end-to-end project responsibility, it's a strong opportunity More ❯
the development and delivery of BI tools and processes across the organisation. This includes defining the roadmap, translating business requirements into technical deliverables, and working closely with engineering and analytics to ensure consistent delivery. The business sits on Google Cloud Platform, so technical credibility across GCP, SQL, and Power BI will be essential from day one. Key responsibilities include: Owning … Power BI and GCP stack Supporting the integration of Looker as a complementary BI tool What You’ll Bring Strong experience as a Product Manager focused on BI/Analytics tools Prior background working with financial services data – e.g. banking, insurance, asset management, or fintech Proven track record in Power BI product development and stakeholder adoption Confident with GCP, SQL More ❯
help clients unlock the full potential of their data assets. In this role, you’ll be instrumental in guiding organisations through the evolving landscape of data strategy, engineering, and analytics Key Responsibilities: Forge strong partnerships with clients and cross-functional teams, bridging the gap between business needs and technical solutions. Deliver high-impact work with precision, proactively identifying challenges and … of the data engineering lifecycle, including Agile delivery , DevOps , Git , APIs , containers , microservices , and pipeline orchestration . Nice to have: DP-203 Azure Data Engineering/Microsoft Certified: Fabric Analytics Engineer Associate The ideal candidate will be a self-motivated team player with a proven track record of delivering accurate, insightful solutions under pressure, able to work independently or collaboratively More ❯
civil, electrical, mechanical, and IT teams to optimize system interoperability in transport infrastructure. Lead the selection, specification, and deployment of IoT devices, intelligent transport systems, automation platforms, and smart analytics tools. Develop strategic roadmaps and feasibility studies for digital transformation in transport projects. Innovation & Emerging Technologies Integrate cutting-edge Artificial Intelligence (AI), Intelligent Transport, Digital Twin, Robotics (such as Autonomous … Cleaning & Delivery), and Predictive Maintenance solutions into transport hubs. Explore data analytics and smart building performance monitoring solutions to drive operational efficiency. Evaluate emerging digital trends to ensure future-proofing of transport infrastructure projects. Compliance, Standards & Sustainability Ensure compliance with international Intelligent Transportation Systems (ITS) and Smart Mobility standards and certifications such as ITE (Institute of Transportation Engineers), ISO More ❯
findings to stakeholders in a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and … to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. If this sounds like the role for you then please apply to our retained recruiters, Datatech Analytics , today More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Publicis Media
looking for a Senior Data Analyst, Reporting & Operations to join our growing team and help bridge the gap between business and tech. If you thrive at the intersection of analytics, systems thinking, and client service—this role is for you. Responsibilities As a Senior Data Analyst, Reporting & Operations, you’ll serve as the strategic link between client-facing teams and … team Coordinate testing, troubleshooting, and resolution of reporting issues Safely manage data sharing with non-Publicis users in line with security standards Qualifications ✔ Experience in a data, operations, or analytics-focused role ✔ Familiarity with BI and reporting platforms such as Power BI, Datorama, Data Studio, Databricks, SQL ✔ Strong communication skills and a collaborative, solutions-focused mindset ✔ An organised, proactive approach More ❯
Trade Data Architect - £800 - £900 Per Day – 6 Months – London (Hybrid) - Commodities Overview: A market leading organisation operating in the physical commodities space are searching for an experienced Data Architect with strong experience on the Azure Data stack to join More ❯
We are working with a highly regarded global asset manager to hire an Analytics Manager to join their team in London. Our client is one of the world's largest asset managers, operating across the Americas, Europe and Asia. They manage diverse portfolios, running a variety of equity and fixed income strategies, and investing for the long term on behalf … of institutional and wholesale clients. Key Responsibilities: Lead and manage the insight and analytics associates, providing guidance, mentorship and support Foster a culture of growth and efficiency by inspiring and motivating associates Drive the development, deployment, and optimisation of advanced analytics tools and models Deliver actionable insights that inform strategic decisions across asset classes and investment products Set clear goals … metrics; conduct regular performance reviews to drive individual and team growth Mentor and coach team members, helping them identify career paths and development opportunities Collaborate with stakeholders to align analytics efforts with business goals Skills: Strong understanding of asset management and data challenges faced Strong leadership skills with experience managing, mentoring, and developing high-caliber analytics teams Familiarity with analyticsMore ❯
contract ✅ Remote or hybrid options What you'll do: Design and manage data warehouse solutions Build and optimize SQL queries Automate pipelines using Python Leverage AWS for data and analytics Key Skills: 7–10 years in Data Warehousing & Analytics Expert in SQL & Python Strong AWS experience (e.g. Redshift, S3, Glue) Bonus: Finance domain, Power BI/Tableau More ❯
m working with a well-known brand in the travel sector who are embarking on a major digital transformation journey. They need a contractor to lead a robust Google Analytics 4 implementation and manage end-to-end tracking using Google Tag Manager (GTM) across their customer-facing platforms. This is an exciting opportunity to work with a travel business that … is evolving its online booking journey, personalisation strategies, and marketing analytics. Role & Responsibilities GA4 Implementation for Travel Journeys: Lead the end-to-end setup of Google Analytics 4 across web and app booking flows, ensuring accurate and scalable tracking of customer behaviour, from trip searches to bookings. Tag Management (GTM): Own the tag management process via GTM, deploying marketing and … analytics tags to capture critical user interactions across various travel-related customer touchpoints. Documentation & Governance: Build and maintain detailed documentation of the tagging architecture, dataLayer structure, and reporting frameworks. Cross-Team Collaboration: Work closely with marketing, UX, and development teams to ensure tracking requirements are captured, prioritised, and implemented effectively. Post-Go-Live Optimisation: Monitor post-implementation performance, resolve tracking More ❯
quality eCommerce products. Collaborate with Merchants and Partners to enhance product offerings and promotions. Coordinate with other Product Directors to ensure alignment and integration across product lines. Data and Analytics: Utilize data analytics to inform product decisions, optimize performance, and identify new opportunities. Leverage eCommerce-related data to drive personalization, targeting, and promotional strategies. Explore opportunities for data monetization while More ❯
Scientist to join the team. You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling … partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and optimisation algorithms in production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. Mentor and guide junior data scientists, establishing best practices and scalable workflows. Help grow and shape the data science team … warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal More ❯
implement scalable, secure, and cost-efficient data solutions on AWS, leveraging services such as Glue, Lambda, S3, Redshift, and Step Functions. Lead the development of robust data pipelines and analytics platforms, ensuring high availability, performance, and maintainability. Demonstrate proficiency in software engineering principles, contributing to the development of reusable libraries, APIs, and infrastructure-as-code components that support the broader … data and analytics ecosystem. Contribute to the evolution of the team’s data engineering standards and best practices, including documentation, testing, and architectural decisions. Develop and maintain data models and data marts that support self-service analytics and enterprise reporting. Drive automation and CI/CD practices for data workflows, ensuring reliable deployment and monitoring of data infrastructure. Ensure data More ❯