edge data technologies & solutions, establish best practices in data platforms and governance, and provide technical leadership to multidisciplinary teams. You will work closely with stakeholders across business, IT, and analytics teams to align data architecture with organizational goals, enabling seamless data acquisition and advanced analytics capabilities. What will be your key responsibilities? Strategic Leadership: Develop and drive the long-term … and API frameworks. Optimize workflows and pipelines to ensure efficient and secure data ingestion, processing, storage, and access. Foster a data-driven culture by ensuring architecture supports self-service analytics and business intelligence tools. Data Governance & Security: Establish and enforce robust data governance practices, ensuring compliance with regulatory requirements and company policies. Partner with IT security teams to implement secure … in data platforms, AI/ML, and big data. Proactively evaluate and recommend new technologies that enhance data capabilities and drive business innovation. Cross-Functional Collaboration: Partner with IT, analytics, and business teams to identify data needs and translate them into actionable platform solutions. Advocate for data democratization by enabling access to clean, high-quality data for decision-making. What More ❯
Data Architect will be a key driver in transforming the Food & Nutrition (F&N) business segment. Working closely with partners, you will be responsible for data solution design, including Analytics, Visualization, Dashboards, and Operations. You will bring thought leadership in your domain and collaborate with cross-functional teams to implement innovative data solutions that enhance customer experience, drive revenue, and … Data Platform for Food is a strategic Mars Food & Nutrition goal. We aim to harness data and insights to solve critical business problems and simplify the global data and analytics user experience, unlocking growth and operational excellence. What are we looking for? Hands-on experience designing scalable, greenfield data platforms in cloud environments using Azure D&A stack, Databricks, and … Open AI. Proficiency in coding (Python, PL/SQL, Shell Script), relational and non-relational databases, ETL tools (e.g., Informatica), and scalable data platforms. Knowledge of Azure Data and Analytics stack; familiarity with AWS and GCP data solutions. Experience deploying AI solutions on Azure Open AI, GCP, and AWS platforms. 2-4 years of experience in data science roles or More ❯
Query, DAX, and SQL for data modeling, transformation, and performance optimisation. Ensure compliance with data governance, security protocols, and company standards for digital delivery. Support the use of predictive analytics and trend analysis to identify risks and opportunities across portfolios. Drive data quality and assist in the design of data pipelines and reporting frameworks for enterprise-level infrastructure programs. Requirements … plus. Strong analytical, problem-solving, and communication skills. Ability to translate complex data into clear, meaningful visual insights for technical and non-technical audiences. Bachelor's degree in Data Analytics, Engineering, Computer Science, or related discipline (or equivalent experience). Desirable Skills: Knowledge of Power Platform (Power Automate, Power Apps). Experience with Azure, Python, or R for advanced analytics. More ❯
Query, DAX, and SQL for data modeling, transformation, and performance optimisation. Ensure compliance with data governance, security protocols, and company standards for digital delivery. Support the use of predictive analytics and trend analysis to identify risks and opportunities across portfolios. Drive data quality and assist in the design of data pipelines and reporting frameworks for enterprise-level infrastructure programs. Requirements … plus. Strong analytical, problem-solving, and communication skills. Ability to translate complex data into clear, meaningful visual insights for technical and non-technical audiences. Bachelor's degree in Data Analytics, Engineering, Computer Science, or related discipline (or equivalent experience). Desirable Skills: Knowledge of Power Platform (Power Automate, Power Apps). Experience with Azure, Python, or R for advanced analytics. More ❯
the design and evolution of Keyloop's enterprise data architecture, ensuring alignment with business strategies and technology platforms. Define data principles, governance frameworks, and architectural standards for enterprise data, analytics, and integration platforms. Own the data strategy for structured and unstructured data across systems-including CRM, ERP, DMS, and customer-facing platforms. Design data models, data flow architectures, and system … integrations to support analytics, operational reporting, AI/ML, and real-time decision-making. Collaborate with data engineers, analysts, solution architects, and business stakeholders to define and document data needs and data platform capabilities. Drive implementation of modern data architecture patterns (e.g., data lakes, lakehouses, data mesh, real-time streaming). Establish data quality frameworks and lead data profiling, cleansing … ingestion techniques using modern tools (e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data More ❯
our unique products and services. We are seeking a highly experienced Senior Technical Data Platform Consultant with a strong foundation in SQL and a proven track record in data analytics to lead the implementation and adoption of end-to-end data platform services within our clients' environments. This strategic role is central to helping organizations modernize their data ecosystems, leveraging … solutions. The core focus of this role is to lead the design, rollout, and integration of Microsoft Fabric across diverse data estates, ensuring a seamless transition to this unified analytics platform. The consultant will play a key role in defining best practices, creating reusable frameworks, and mentoring client teams on Fabric’s capabilities, governance, and performance optimization. This is an … upgrades, performance tuning, and data platform transformations. The role requires a balance of technical excellence and consultancy experience, guiding clients through both legacy system optimization and modern cloud-first analytics architectures. Additional activities and responsibilities not covered within the above may also be required as part of specific customer engagements or the wider role of a Senior Technical Consultant. MAIN More ❯
our unique products and services. We are seeking a highly experienced Senior Technical Data Platform Consultant with a strong foundation in SQL and a proven track record in data analytics to lead the implementation and adoption of end-to-end data platform services within our clients' environments. This strategic role is central to helping organizations modernize their data ecosystems, leveraging … solutions. The core focus of this role is to lead the design, rollout, and integration of Microsoft Fabric across diverse data estates, ensuring a seamless transition to this unified analytics platform. The consultant will play a key role in defining best practices, creating reusable frameworks, and mentoring client teams on Fabric’s capabilities, governance, and performance optimization. This is an … upgrades, performance tuning, and data platform transformations. The role requires a balance of technical excellence and consultancy experience, guiding clients through both legacy system optimization and modern cloud-first analytics architectures. Additional activities and responsibilities not covered within the above may also be required as part of specific customer engagements or the wider role of a Senior Technical Consultant. MAIN More ❯
Microfocus NetIQ, Microsoft Entra ID (Azure AD), SailPoint, ForgeRock, Okta. Familiarity with identity lifecycle management, privileged access management (PAM), and access certification processes. Understanding of event-driven data, behavioral analytics, and anomaly detection methods. Domain Knowledge: Basic understanding of digital identity concepts: SSO, MFA, RBAC and ABAC Knowledge of fraud detection techniques and identity risk indicators is an advantage. Soft More ❯
Analytics Data Engineer Location: London (Hybrid/Remote available) Salary: £45,000 - £70,000 based - on experience The Opportunity A leading Financial Services organisation is seeking exceptional Analytics Data Engineers to join their ambitious Data Transformation initiative. This is a permanent role offering competitive compensation and flexible working arrangements. As an Analytics Data Engineer, you will be at the forefront … of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ELT pipelines and dimensional More ❯
Management: Design, implement, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, unstructured, and real-time data feeds from diverse sources. Manage data pipelines for analytics and operational use, ensuring data integrity, timeliness, and accuracy across systems. Implement data quality tools and validation frameworks within transformation pipelines. Data Processing & Optimization: Build efficient, high-performance systems by … robust data governance, access control, and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML models. Maintain awareness of ML pipeline integration and ensure data readiness for experimentation and deployment. Documentation & Continuous Improvement More ❯
Working for a high-growth ecommerce retailer, the Analytics Engineer will help scale their data infrastructure and unlock new commercial insights. As well as the engineering side, the role will also cover web analytics and their AI roadmap. They are looking for someone who blends hands-on technical expertise with a strong understanding of ecommerce metrics and stakeholder needs. The … Role The Analytics Engineer will maintain and optimise a modern data stack built on Google Cloud Platform (GCP), helping ensure data is accessible, high quality, and driving decisions across marketing, product, operations, finance and customer experience, among others. You’ll work closely with the growth and product teams, providing web analytics support using GA360/GA4 data in BigQuery, and … ll also contribute to an emerging AI and automation roadmap—building lightweight tools, enhancing process efficiency, and helping the team test and scale innovations that drive measurable value. The Analytics Engineer will be responsible for: Building and managing ELT pipelines and analytics infrastructure (BigQuery, dbt, Fivetran, Sigma, etc.) Supporting web analytics, conversion funnels, and traffic segmentation Collaborating with business stakeholders More ❯
Analytics Engineer – Retail/Luxury - Fashion up to £70,000 + 10% bonus Hybrid - 2 days per week in the office WC1 - London I’m excited to partner with an award-winning sustainable luxury fashion brand, their Head of Analytics is looking for a new Analytics Engineer to join her team! This role is perfect for you if: Thrive in … expertise alongside your business understanding. Join a celebrated organisation renowned for pioneering tech solutions and AI, and fostering a collaborative team atmosphere. You want to work tools like Google Analytics to enhance customer journey and retail data. What are we looking for in the ideal candidate? Knowledgeable in e-commerce analytics, including GA4 and BigQuery. Proficient in data modelling, data … Census, Gravity) for optimal stakeholder visualization. Manage the entire ETL cycle within our tech stack. Define and monitor KPIs, maintain documentation, and uphold data governance standards. Collaborate with the Analytics Team, including the Head of Analytics and Data Analysts, using our digital analytics stack (Google Analytics, GA4, Contentsquare) to enhance digital store sales. Are you ready to take the next More ❯
Automation, Campaign Management 10+ years of marketing automation platforms (e.g. Adobe Experience suite, Marketo, Salesforce Marketing Cloud) and customer relationship management (CRM) systems. 10+ years of experience with data analytics tools (e.g., Google Analytics, Tableau) and leveraging data to drive decisions. Expertise in consumer experience design, with a deep understanding of user journeys, personalization, and omnichannel marketing. Experience with AI … other Europe markets Job Description & Key Responsibilities Strategic Planning: Develop and implement comprehensive marketing and consumer experience strategies that incorporate advanced technologies, including automation, AI, CRM platforms, and data analytics tools, to deliver seamless customer journeys across all touchpoints. Consumer Experience Design: Collaborate with cross-functional teams to design and optimize customer experiences, ensuring they are personalized, engaging, and responsive … to consumer needs, preferences, and behaviors. Technology Integration: Lead the adoption and integration of marketing technology solutions (such as marketing automation, customer data platforms, and AI-driven analytics) to improve campaign effectiveness, engagement, and ROI. Data-Driven Decision Making: Utilize data analytics and insights to inform marketing strategies and decisions, ensuring initiatives are optimized for performance and customer satisfaction. Provide More ❯
the world’s leading commodities trading houses, leveraging sophisticated technology to trade a broad range of energy, metals, and agricultural commodities globally. Our success is driven by cutting-edge analytics, high-frequency data processing, and a commitment to innovation. We are now looking for a Senior Python Engineer to join our dynamic team in London and drive our next wave … scalable, high-performance data pipelines to process large datasets from multiple sources, including real-time market data and fundamental data. Implement robust APIs and microservices to integrate trading systems, analytics platforms, and external data providers. Optimize performance and scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and More ❯
Thatcham, Berkshire, United Kingdom Hybrid / WFH Options
Thatcham Research
requirements from business stakeholders. Experienced in understanding stakeholder needs and translate them into functional and technical specifications. Technical Skills: Demonstrable experience in using SQL and Python (or equivalent). Analytics Skills: Analyse complex, high-volume, high-dimensional data using data analysis techniques. Development of queries and data visualisations to present findings. Practical experience within a Data and Analytics team . More ❯
collect, process, and analyze large datasets. Build and optimize ETL workflows to ensure efficient data integration and processing. Collaborate with data scientists, analysts, and engineers to support data modeling, analytics, and reporting needs. Leverage Python to implement robust data solutions, including automation and optimization tasks. Develop and maintain cloud data infrastructure using platforms like AWS, Azure, or Google Cloud Platform More ❯
development teams. Nice to have Knowledge of the Atlassian ecosystem, in particular Jira and Confluence. Certified Scrum Product Owner or equivalent certification. Familiarity with A/B testing, data analytics tools, and user research methodologies. Experience in UI/UX principles. Why us? Salary and Benefits: £30,000 - £40,000 depending on experience. Our team members are amongst the best More ❯
BigQuery Analytics Consultant - Web Analytics Salary: £45,000 + bonus Work type: Hybrid – London HQ (Old Street) - 3 days per week Our client is the powerhouse behind some of the world’s most loved retail brands, reaching billion customers annually across several countries. From high-street staples to leading digital-first experiences, their mission is to create better health and … the modern consumer. The Web Analyst will join a collaborative insights team to own and expand the digital data infrastructure. You’ll lead on BigQuery development, support cross-brand analytics, and work closely with commercial teams to turn data into clear, compelling stories. This is a high-impact role with real ownership and visibility, ideal for someone who thrives at … and transforming complex datasets Experience building dashboards in tools like Power BI, Looker, or Excel Excellent communication skills — can explain technical work to non-technical stakeholders Background in digital analytics, with at least 2 years’ relevant experience Benefits: Staff discounts across household retail brands Annual bonus scheme and generous holiday Interest-free loans and financial wellbeing support High-impact L More ❯
Exclusive opportunity with a leading digital marketing agency, looking for a strategic, commercially minded Head of Data & Analytics to lead its analytics function. This senior role is responsible for shaping the agency’s data vision, leading technical delivery, and driving measurable impact for clients across digital channels. You’ll oversee a growing team, manage analytics implementations, develop measurement frameworks, and … s data and measurement strategy, ensuring it supports client performance goals across all digital channels, including Paid Media, SEO, CRM, Programmatic, and ATL. Oversee delivery of end-to-end analytics projects, including tracking implementation, data architecture, attribution modelling, customer journey analysis, and integration with client BI systems. Ensure best-in-class measurement practices by driving innovation in privacy-first tracking … e.g. server-side, cookie-less solutions) and staying ahead of changes in tools and technology. Manage and develop a high-performing analytics team, including recruitment, training, quality control, and performance management, while fostering a collaborative and commercially focused culture. Work closely with internal and external stakeholders, translating complex data concepts into clear, actionable insights that inform strategic decisions. Support new More ❯
position requires a strong analytical background to support fund managers in maximizing portfolio returns while understanding and managing associated risks. Additionally, the role will support the development of risk analytics infrastructure within the team. Key Responsibilities: Portfolio Risk Oversight: Develop and deliver reports focused on market and liquidity risk to assist in portfolio oversight. Technology & Infrastructure Development: Play an active … role in the enhancement of risk analytics infrastructure, including database management and leveraging business intelligence tools for reporting. Collaboration: Work closely with the investment team to align portfolio management strategies with effective risk management practices. Collaborate with Performance Analytics teams to provide insights into portfolio performance and risk positioning. Innovative Analytics: Drive the development of new analytics tools that add … from senior management and fund managers. Escalation & Governance: Participate in governance forums and escalate significant risk issues promptly as required. Personal Attributes: Strong initiative and ownership in advancing data analytics capabilities within the team. Entrepreneurial mindset with a passion for growth and continuous improvement. Committed to personal and professional development. Problem-solving skills with a team-oriented approach. A collaborative More ❯
Data Scientist - Marketing/Customer Analytics Reading – Hybrid (3x per week in office) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With a strong focus on data-driven decision-making, they help brands across entertainment, tech, sports, and consumer goods maximise their … proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client … as Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of interest, please reach out to Joseph Gregory. More ❯
Your role at Dynatrace What's the role? As a Dynatrace Log Management and Analytics - Solutions Engineer, you will be a key member of the Dynatrace sales engine and will be responsible for providing excellent technical support to the sales team. You will be the expert on Dynatrace and observability, with a specialization in Log Management and Analytics. Within this … ability to work across all disciplines. Excellent communication and presentation skills, with the ability to communicate technical value into business value. Previous 3 - 5 years of experience with log analytics technologies and techniques. Ability to troubleshoot technical issues to produce a working outcome and be able to manage this process. Ability to manage a number of projects simultaneously, work with More ❯
analyze, document, and resolve discrepancies. Partnering with engineers to establish best practices for data modeling, transformation, and visualization. Required Skills & Experience: Profound knowledge of data analysis methodologies, including user analytics, system integration, and reporting automation. Strong proficiency in SQL, Excel, and BI tools. Extensive experience in designing and developing analytical scripts and dashboards. Expertise in managing data validation frameworks, ETL More ❯
in cloud architecture (e.g., AWS/GCP/Azure Certified Architect), AI/ML, or TOGAF are a plus Familiarity with telco architecture, OSS/BSS systems, or geospatial analytics is an advantage More ❯
