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 ❯
data scientists to integrate ML models into production systems. Build and deploy RESTful APIs and microservices to support frontend and data services. Perform data wrangling, cleaning, and transformation for analytics and reporting. Write clean, modular, and high-performance code with strong documentation. Ensure application security, performance, and scalability across services. Stay up-to-date with the latest technologies in 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 ❯
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 ❯
Senior Analytics Manager - Attribution & Econometrics Up to £60,000 + career progression opportunities Flexible location | Leeds or Bath office hubs | Hybrid working | Client travel as needed Are you a data-driven problem solver with strong attribution modelling experience and a passion for influencing strategic direction? We're partnering with an award-winning analytics and data consultancy to find a Senior … Analytics Manager to lead client attribution and econometrics projects - with a clear path to Head of Department within 6 to 12 months. You'll step into a role with real ownership and opportunity, joining a talented team delivering projects for clients ranging from global brands like Shell and Tesco Bank to charities and manufacturing leaders. The department is ready for … fresh leadership - and you'll have the chance to shape it. Why consider this role? Opportunity for progression to Head of Analytics within a year Work on greenfield attribution projects with well-known clients Join a genuinely collaborative and forward-thinking consultancy Flexible working (remote-first with team meetups in Leeds or Bath) Be part of a business that values More ❯
Agents. You will be designing and proposing effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation, and access. You will … managing data access controls. Build and implement custom scripts or tools using APIs and data connectors to meet specific client needs. Creating automation and data AI agents for marketing analytics and user workflow solutions. Diagnose and resolve technical problems related to Google Cloud Platform setup, data flow, and reporting. Integrate with various marketing APIs, including Twitter/X, DV360, Google … AI Agents. Develop and maintain efficient data pipelines, ETL processes, and data warehousing solutions. Proficiency in Python and SQL. Demonstrable expertise in Google Cloud Platform (e.g., BigQuery, BQ Sharing (Analytics Hub), Cloud Functions, Dataflow, Looker Studio) to build scalable and secure data solutions. Other cloud-based technologies such as Windows Azure, AWS are desirable. Hands-on experience with marketing APIs More ❯
Confluence, stories, sprints, backlogs) Creating and maintaining MI dashboards (e.g. in Power BI) Generating & delivering MI presentations to Committees/forums (written & verbal) Technology degree essential MSc in Data Analytics and security qualifications (ISACA, CISM, etc.) advantageous If you have the skills and experience we're looking for, please apply with your updated CV. More ❯
Data Engineer - Digital Analytics – 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 luxury fashion brand, their Head of Analytics is looking for a new Data Engineer to join her team with a focus on digital data & AI … This role is perfect for you if: You want to work tools like Google Analytics to enhance customer journey and retail data. Thrive in a role that blends technical data engineering goals with strategic business impact. Seize the opportunity to strengthen data engineering by supporting key company functions. Join a celebrated organisation renowned for pioneering tech solutions and AI, and … fostering a collaborative team atmosphere. What are we looking for in the ideal candidate? Knowledgeable in e-commerce analytics, experienced with platforms like Google Analytics, Adobe Analytics, Amplitude or similar others Proficient in data modelling, data warehousing, and advanced SQL query crafting. Skilled in ETL processes, preferably with tools like dbt and Sigma. Experienced with cloud platforms and database technologies More ❯
culture of innovation and collaboration that drives us to deliver exceptional benefits to our clients every day. We are seeking an experienced and dynamic Technical Project Manager for Data Analytics Services to join our team. The ideal candidate will have a strong background in managing technical projects related to legacy data platform migration, data lake build, and data analytics across … successful delivery of complex data projects on time and within budget. Key Responsibilities: Project Management: Lead and manage legacy data platform migration (Teradata, Hadoop), data lake build, and data analytics projects from initiation to completion. Develop comprehensive project plans, including scope, timelines, resource allocation, and budgets. Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project delivery. … data engineers, data scientists, and IT professionals, to ensure seamless execution of projects. Technical Leadership: Provide technical guidance and expertise on data migration strategies, data lake architectures, and data analytics solutions. Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle. Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage More ❯
culture of innovation and collaboration that drives us to deliver exceptional benefits to our clients every day. We are seeking an experienced and dynamic Technical Project Manager for Data Analytics Services to join our team. The ideal candidate will have a strong background in managing technical projects related to legacy data platform migration, data lake build, and data analytics across … successful delivery of complex data projects on time and within budget. Key Responsibilities: Project Management: Lead and manage legacy data platform migration (Teradata, Hadoop), data lake build, and data analytics projects from initiation to completion. Develop comprehensive project plans, including scope, timelines, resource allocation, and budgets. Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project delivery. … data engineers, data scientists, and IT professionals, to ensure seamless execution of projects. Technical Leadership: Provide technical guidance and expertise on data migration strategies, data lake architectures, and data analytics solutions. Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle. Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage 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 ❯
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 ❯
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 ❯
Data Scientist – Commercial Analytics (Bookings & ARR) £45,000 + Benefits | Hybrid (1 day/week in Reading office - Flexible) Location: London/Reading Sector: Automotive SaaS | Big Data | Sales Analytics Join one of the world’s leading automotive SaaS providers as they tackle large-scale data challenges across 25+ countries. Keyloop is hiring a Data Scientist to help make sense … of fragmented commercial data, with a focus on sales performance, pipeline analytics, and recurring revenue (ARR) reporting. You’ll be embedded in the team supporting the Sales function, working closely with Finance, IT, and Ops to improve data quality, stability, and decision-making across the business. 🔍 What you’ll be working on: Investigating, reconciling, and cleaning complex datasets across Salesforce … validation, error reporting, and reconciliation processes Creating automated, scalable solutions for manual data imports and fragmented system inputs Collaborating across Sales, Finance, and IT to stabilise infrastructure and improve analytics capability ✅ What we’re looking for: Strong programming skills in Python and SQL , with experience handling large or messy datasets Comfortable working across fragmented data systems (e.g. Salesforce, ERP, CRMs More ❯
consulting, helping clients understand consumer behaviour and market dynamics to drive business growth. With expertise spanning brand, marketing, media, and customer experience, it delivers evidence-based strategies through advanced analytics and research. The company operates at the intersection of data science and human understanding, enabling smarter decision-making for leading brands across various industries and international markets. THE ROLE This … is a commercially focused analytics role centred on maximising revenue and efficiency from large-scale survey operations. You’ll explore how clients engage with surveys and how respondents participate, using insights to optimise pricing, performance, and profitability. Expect to work on high-impact projects such as refining matching algorithms, adjusting incentives, and identifying opportunities to renegotiate contracts or tailor offerings … across different client segments. The role involves business-as-usual reporting as well as advanced analytics, (think regression, clustering, and causal modelling), within a high-volume data environment. SKILLS + EXPERIENCE Insights-focused analytics experience – reporting and commercial acumen Regular use of SQL and Python Experience solving optimisation business problems Strong communication skills and experience delivering to stakeholders HOW TO More ❯
Reading, England, United Kingdom Hybrid / WFH Options
Areti Group | B Corp™
reporting and analysis. Key Responsibilities: • Lead and manage a team of data engineers. • Design, build, and maintain data infrastructure and systems. • Ensure effective use of Microsoft Fabric and Synapse analytics platform. • Collaborate with various stakeholders, including Data and Systems owners, Data Analysts, Data Architects, Infrastructure Architects, and external suppliers. Experience required • Dynamic and hands-on leader who excels in managing … Extensive experience in developing and maintaining data pipelines for ELT/ETL from various data sources, including databases, APIs, text files, and Parquet. • Expert knowledge of the Microsoft Fabric Analytics Platform (Azure SQL, Synapse, PowerBI). • Proficient in Python for data engineering tasks, including data ingestion from APIs, creation and management of Parquet files, and execution of ML models. • Strong More ❯
re looking for the following education, experience and skills Bachelor's degree in a quantitative area, Master/Doctor's in a quantitative area is preferred. 8+ years of analytics/insights experience. An analytical mindset coupled with significant project management experience - PMP or similar certifications is a plus. Experience with assessing, managing, quantifying, and responding to risk. Experience in More ❯
