help customers achieve their goals - from acquiring fast and easy driveaway cover, to insuring their impounded vehicle. You will work through design problems from start to finish, translating research, analytics and business insights into ideas that become new products and features, as well as designing detailed user journeys and the interactions needed to make them viable. What you'll be More ❯
practice now totals more than 26,000+ dedicated SAP professionals in over 150 countries and we are investing heavily in S/4HANA, Ariba, IBP, SuccessFactors, Concur, GTS, SCP, Analytics, and other new SAP solutions. We are helping our clients to tackle their most difficult challenges by implementing SAP solutions that enable business transformation and deliver real value for our More ❯
known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with More ❯
known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with More ❯
passion to thrive in this role, we encourage you to apply. So, who are we and what do we do? QS is the world leader in higher education services, analytics, insights and intelligence. From consultancy to student mobility, academic partnerships to branding solutions, our services power both institutional and individual success. We're behind the world's most widely read More ❯
we do. Join us! Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday. Workday is proud to More ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
Radar Healthcare
employee lifecycle activities-onboarding, offboarding, leaves of absence, and policy updates. Partner with the People Ops and Finance teams to ensure fair, competitive, and equitable compensation practices. Leverage HR analytics to provide insights on turnover, engagement, hiring, and performance trends. Your journey so far progressive HR experience, ideally in fast-paced tech, SaaS or healthcare. Strong understanding of employment law More ❯
collaborative and self-motivated Business Intelligence Developer to partner with business teams across the enterprise. This role blends technical expertise with strong communication skills to deliver data products and analytics solutions that drive business value. The ideal candidate will help evolve our BI capabilities beyond visualizations by embedding business logic into curated data sets that power insights at scale. Key … data-driven solutions to address critical business challengesDesign, build, and maintain curated data sets and reusable data products that incorporate business logic and support enterprise-wide analyticsDevelop and deploy analytics solutions using enterprise BI platforms (Qlik, Power BI, Salesforce CRM Analytics)Support the implementation and adoption of data tools and applications across the organizationMaintain and optimize BI infrastructure and existing … Altec associatesManage multiple projects while maintaining transparent communication with stakeholdersContribute to continuous improvement initiatives and special projectsTechnical RequirementsStrong proficiency in BI platforms (Qlik preferred; Power BI or Salesforce CRM Analytics experience valuable)Minimum 2 years of experience with SQL or equivalent query languagesDemonstrated ability to translate business requirements into scalable technical solutionsExperience designing and maintaining data pipelines, data models, and More ❯
colleagues to validate data flows between systems, ensuring consistency and accuracy Help review and map key systems, processes, and APIs to support the development of a central data warehouse Analytics and Innovation Contribute to the development of advanced analytics including predictive and prescriptive models Support pilots of ethical AI and machine learning use cases within the data lake(s) Identify … opportunities to automate manual processes and enhance reporting efficiency Capability Building Provide support and training to teams on how to access and interpret reports and dashboards Champion self-service analytics across the organisation by enabling access to trusted, well-governed data You'll have/bring Essential: Proven experience in a data analyst or business intelligence role Strong proficiency in More ❯
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm … learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series … knowledge sharing communityDevelop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systemsCollaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into productionDrive Firm wide initiatives More ❯
KPIs, track performance, and tell the story of business impact through usage, adoption, and tangible outcomes. Required Qualifications 5+ years in product management, with 3+ focused on data or analytics solutions. Proven success launching and scaling data products with measurable business value. Expertise in product development lifecycles, agile methodologies, and stakeholder engagement. Strong understanding of data architectures, warehouses, and analytics … platforms (e.g., Snowflake, BI tools). Ability to lead through influence across engineering, analytics, and business teams. Excellent written and verbal communication skills for technical and executive audiences. Preferred Qualifications Bachelor's or advanced degree in Business, Computer Science, or related field. Experience with modern data stacks (e.g., dbt, Fivetran, Looker, Power BI). Knowledge of data governance, quality frameworks More ❯
Lead Data Engineer As a Lead Data Engineer, you'll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: * Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. * Design and implement a scalable, reliable … large volumes of structured and unstructured data. * Create and manage Power BI dashboards, reports, and data models to provide strategic insights. * Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. * Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: * Proficiency in cloud platforms (Azure, AWS, or GCP More ❯
Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for data warehousing, mining, BI, and reporting. … Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for data, and a drive to architect impactful risk management solutions. … skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk More ❯
City of London, London, Coleman Street, United Kingdom
Deerfoot Recruitment Solutions Limited
Risk Reporting Data Engineering Lead Central London/Hybrid Financial Risk Data/Data Analytics/International Banking Base salary: c. £135k + bonus + comprehensive bens. As a tech recruitment partner for this international bank, we're assisting in hiring a Technical Lead for the Risk Reporting team, which involves designing technologies for data warehousing, mining, BI, and reporting. … Are You Ready to Lead in a Fast-Paced, Global Environment? The client seeks a Data & Analytics Engineering Lead to head an international team (10-15 members), driving innovation in Risk Reporting. As the organisation evolves with regulations and tech, they need someone with strong technical leadership, a passion for data, and a drive to architect impactful risk management solutions. … skills (Python, PowerShell). Knowledge of applications, data governance, and cybersecurity.- Preferred: Experience with data modelling tools like dbt. Knowledge of orchestration tools and Agile/DevOps practices. Data Analytics Lead | Data Engineering Lead | Risk Reporting Lead | Risk Data Engineering | SQL Expert | Data Warehouse | Financial Risk Analytics | Risk Data Management | Snowflake | SQL Server | SSIS | Power BI | Regulatory Compliance | Market Risk More ❯
Employment Type: Permanent
Salary: £135000/annum bonus + good benefits package
Wednesdays required) £42,700 - £53,700 + Annual Bonus 3-5 years' experience | SQL, Python & BI tools (Power BI/DOMO) An exciting opportunity to take full ownership of analytics in a global business operating at the intersection of entertainment, media, and consumer engagement . This is a standalone data role within a collaborative commercial finance team, ideal for someone … translate business data into actionable insights, with full visibility over performance across sales, marketing, and product. You'll lead the transition to a new BI platform (DOMO), shape the analytics roadmap, and help embed a data-literate culture across global teams. This is a rare role where data isn't siloed - you'll be at the heart of decision-making. … Key Responsibilities Analyse and connect data from systems like Salesforce, NetSuite, and Google Analytics Deliver insights around pricing, product, and market performance Build dashboards and BI tools (Power BI and DOMO) for commercial use Lead forecasting, reporting automation, and strategic analysis cycles Train stakeholders and champion a self-service data culture Support predictive modelling to forecast trends and identify opportunities More ❯
with the business to extract value from their data assets. This will demand rapidly learning about the data we have, the business needs/challenges and applying expertise in analytics and data science delivery to turn this into great insight that is ultimately actionable and leads to valuable outcomes for the business. What are we looking for? Degree or equivalent … to have - Master's/PhD with computing, scientific, statistical, or mathematical component. 10+ years' experience working as a Data Scientist. 5+ years varied technical experience in delivering statistical analytics, data science and insight on large-scale consumer data sets across multiple sectors, including packaged goods and retail. Demonstrated ability to collaborate in a cross functional team including data engineer … data architect, general IT and non-technical stakeholders Demonstrable experience using data science and advanced analytics to generate business value and change, including optimisation of production processes Great knowledge of Python and in particular, the classic Python Data Science stack (NumPy, pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable. A cloud platform experience (e.g Azure More ❯
Director of Marketing Data Enablement & Automation. This is a business-facing role embedded in the Marketing organization, and requires close coordination with Corporate Technology counterparts who oversee Martech, Automation, Analytics, Data Architecture, Integrations, and Governance. The CDP product lead partners with campaign teams, analytics, data ops, and IT to operationalize audience-centric marketing through Adobe Experience Platform (AEP), ensuring a … and data governance documentation. Partner with Martech engineers and IT to manage and optimize data pipelines into and out of the CDP. Drive integration of CDP with Adobe Target, Analytics, CRM, and advertising platforms. Guide and support audience segmentation, identity resolution, and real-time profile activation. Translate business needs into CDP use cases, from acquisition through retention. Collaborate with privacy … with data cleansing, structuring, modeling, identity resolution, and segmentation logic Demonstrated expertise in ETL workflows, APIs, and real-time data syncs Demonstrated familiarity with the Adobe Suite (e.g., Adobe Analytics, Adobe Launch, Adobe Marketo, Adobe Target) Familiarity with JavaScript, SQL, JSON, and cloud environments (e.g., AWS, Azure) Understanding of customer lifecycle and how data supports cross-channel engagement Ability to More ❯
cycle Strong data modelling, problem solving, information analysis, attention to detail, flexibility of approach. The ability to deal directly with business functions and interpret their thoughts into successful data & analytics solutions. The ability to design and develop complex BI/MI solutions in line with agreed architectural principles and toolsets. Capable of working closely with the business and delivering complex … Kimball data modelling Microsoft SQL Server Analysis Services (Multidimensional/Tabular), Power BI Python, MDX, DAX Responsibilities The Data Manager will be responsible for supporting Head of Data and Analytics and wider business to build and deliver the components of an effective enterprise data management platform for WRBU, utilising Microsoft Technology stack for data ingestion, transformation & storage and Power BI … for end-user data analytics and reporting. The role will play a critical part in the architectural design and implementation of these elements - capable of meeting a wide range of financial and underwriting reporting/analytics needs. The role will encompass a mix of hands-on technical leadership, team management, stakeholder relations; supporting WRBU to continue its journey to develop More ❯
cycle Strong data modelling, problem solving, information analysis, attention to detail, flexibility of approach. The ability to deal directly with business functions and interpret their thoughts into successful data & analytics solutions. The ability to design and develop complex BI/MI solutions in line with agreed architectural principles and toolsets. Capable of working closely with the business and delivering complex … Kimball data modelling Microsoft SQL Server Analysis Services (Multidimensional/Tabular), Power BI Python, MDX, DAX Responsibilities The Data Manager will be responsible for supporting Head of Data and Analytics and wider business to build and deliver the components of an effective enterprise data management platform for WRBU, utilising Microsoft Technology stack for data ingestion, transformation & storage and Power BI … for end-user data analytics and reporting. The role will play a critical part in the architectural design and implementation of these elements - capable of meeting a wide range of financial and underwriting reporting/analytics needs. The role will encompass a mix of hands-on technical leadership, team management, stakeholder relations; supporting WRBU to continue its journey to develop More ❯
We’re hiring fresh graduates to join our Data & AI team, which powers core functions across the organization — from analytics and automation to AI/ML systems and engineering pipelines. As a Graduate Trainee, you will begin by contributing to foundational development work spanning AI/ML, data workflows, automation, and internal tooling — primarily using Python. You will be working … across multiple focus areas within the Data & AI team, including: AI/ML – supporting model development, data preparation, and deployment workflows Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation Automation – building scripts and utilities to streamline and optimize operations Data Engineering/DevOps/MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems Must-Have Skills … SK-Learn) Basic understanding of machine learning principles or experience with small academic projects Familiarity with cloud platforms (AWS/GCP/Azure), APIs, or containerization (Docker) Awareness of analytics tools (e.g., Power BI, Tableau), dashboards, or reporting pipelines Experience with automation scripts, data wrangling, or internal tooling Basic understanding of DevOps or MLOps workflows and CI/CD pipelines More ❯
We’re hiring fresh graduates to join our Data & AI team, which powers core functions across the organization — from analytics and automation to AI/ML systems and engineering pipelines. As a Graduate Trainee, you will begin by contributing to foundational development work spanning AI/ML, data workflows, automation, and internal tooling — primarily using Python. You will be working … across multiple focus areas within the Data & AI team, including: AI/ML – supporting model development, data preparation, and deployment workflows Analytics & Reporting – enabling insights through dashboards, reporting tools, and data aggregation Automation – building scripts and utilities to streamline and optimize operations Data Engineering/DevOps/MLOps – contributing to data infrastructure, deployment pipelines, and scalable systems Must-Have Skills … SK-Learn) Basic understanding of machine learning principles or experience with small academic projects Familiarity with cloud platforms (AWS/GCP/Azure), APIs, or containerization (Docker) Awareness of analytics tools (e.g., Power BI, Tableau), dashboards, or reporting pipelines Experience with automation scripts, data wrangling, or internal tooling Basic understanding of DevOps or MLOps workflows and CI/CD pipelines More ❯
the forefront of digital transformation, blending technological innovation with a deep focus on customer satisfaction. Operating in a dual-regulated environment, they are expanding and heavily investing in data, analytics, and AI to enhance their offerings. THE ROLE: As Head of Data & AI, you will lead the development and execution of the bank's enterprise data strategy across data engineering … analytics, governance, and applied AI/ML. You'll own the roadmap for how data is collected, managed, and activated, leading and scaling a growing, multi-disciplinary team. You will partner with leaders across product, technology, risk, and operations to embed data into decision-making and product design. This high-impact role requires a blend of technical expertise, strategic thinking … culture and transforming the data warehouse into an AI-driven function. Data Platform & Engineering: Oversee the architecture, scalability, and reliability of data infrastructure, ensuring quality and accessibility. AI & Advanced Analytics: Support AI model development, deployment, and monitoring, ensuring responsible AI practices. Governance & Compliance: Implement data governance policies and ensure compliance with regulatory requirements. YOUR SKILLS AND EXPERIENCE: The ideal Head More ❯
Senior Data Scientist - Marketing Analytics Focus Hybrid (London-based) Join a growing data science function driving transformation across several established consumer-focused businesses. This is a key opportunity for a Senior Data Scientist to specialise in Marketing Analytics, helping shape data-driven strategies and build impactful models that power acquisition, retention, personalisation, and campaign effectiveness. You'll be part of … a collaborative, technically skilled team that combines deep analytical thinking with commercial understanding to solve complex marketing challenges using machine learning and statistical modelling. Key Responsibilities Advanced Analytics & Modelling Design and implement machine learning algorithms and statistical models tailored to the marketing domain Apply techniques such as segmentation, uplift modelling, customer lifetime value prediction, and targeting optimisation Identify and adopt … Share knowledge and champion experimentation within the team What We're Looking For Proven experience in a data science role within a data-rich environment Strong background in marketing analytics or a clear passion to grow in this domain Proficiency in Python and SQL (a technical test is part of the process) Solid understanding of machine learning, statistical modelling, and More ❯
retail at the LEGO Group! We're seeking a Senior Data Engineer to join our Marketing Effectiveness Product Team, with a focus on building data solutions that support marketing analytics and measurement. You will be responsible for developing and maintaining robust data pipelines and infrastructure that enables machine learning and analytics use cases such as Marketing Mix Modeling (MMM), as … offered for this position. Core Responsibilities: Build and maintain reliable, scalable data pipelines for marketing and media data sources. Design and develop data marts to support reporting, modeling and analytics use cases. Lead the collaboration with data scientists and marketers to define and implement data requirements. Build and maintain infrastructure for the deployment of simple applications. Contribute to and drive … closely with other teams that drive retail and e-commerce partner strategy and execution for the LEGO Group. Do you have what it takes? Extensive experience in data engineering, analytics engineering or a related field Extensive experience working with data modeling and transformation workflows Experience developing on AWS and Databricks and experience with leveraging infrastructure as code to deploy data More ❯
Job Description: Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal candidate for … the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at the center of … significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data More ❯