1 to 25 of 113 Analytics Jobs in Slough

Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level ...

Your responsibilities: Design, build, and optimise scalable data pipelines for batch and streaming workloads Develop and manage dataflows, and semantic models to support specific analytics related business requirements Implement complex transformations, aggregations, and joins ensuring performance, and reliability Implement and apply robust data validations, cleansing, and profiling techniques to ensure ...

processing large volumes of data. You will work closely with business and technical teams to deliver robust data models and transformations in support of analytics and reporting needs. • Responsibilities: • Design and develop ETL pipelines using ADF for data ingestion and transformation. • Collaborate with Azure stack modules like Data Lakes ...

range of stakeholders including lawyers, technology teams, innovation specialists, external partners, and business stakeholders. Requirements: Proven senior-level experience applying data science and advanced analytics, underpinned by a strong quantitative education or equivalent professional background in a STEM discipline Strong proficiency in Python and associated libraries for data analysis, machine ...

APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today's rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy ...

public sector Strong understanding of the public sector landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building ...

will plan and lead data engineering activities across multiple programmes of work to deliver secure, robust and scalable data engineering solutions for complex data analytics products. You'll implement modern data engineering practices, build complex data pipelines and provide guidance to other team members to ensure optimal code performance ...

office (close to Waterloo) with flexibility to work from home twice a week. About you: You have experience in a Solutions Architect, Data Engineer, Analytics Engineer or Technical Success/Customer Engineering role within a Data product or SaaS company You have indepth technical knowledge of Python for data workflows ...

will create the standard for the data practice and ensure best in class design and delivery, working across multiple products covering audience insights, analytics and advertising. You'll be relied upon to get the data stack AI ready, drive innovation and leverage Agentic development where its needed. Technology/Skills ...

only architect position. Key Responsibilities Data Products & Architecture Design and deliver core data products including: Channel Operations Warehouse (high-performance, ~30 days retention) Channel Analytics Lake (long-term retention, 7+ years) Define and expose data APIs and status/statement services with clear SLAs. Architect an AWS lakehouse using ...

observability and SLAs, and design the automations that handle lead routing and lifecycle management. You'll work directly with Sales Ops, Marketing, and Analytics, translating requirements into scalable data products while keeping things maintainable and well-documented. We're integrating multiple brand CRMs to a modern cloud stack ...

move fast enough to innovate. And this isn't just a massive market — it's genuine "tech for good." Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We're a sharp, high ...

best-in-class data infrastructure. Key Requirements Strong Python (pandas, NumPy, scikit-learn; PyTorch/TensorFlow a plus) and SQL skills Experience applying advanced analytics or ML to real-world data (finance, fintech, or forecasting contexts ideal) Proficiency with BI tools (Tableau or similar) 2–6 years' relevant experience ...

engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks Contract Details ...

hands-on use of BI tools such as Tableau or Power BI Understanding of SaaS commercial metrics (ARR, churn, margin, cohorts) Experience in pricing, analytics, revenue operations or commercial finance (SaaS/B2B preferred) Ability to communicate complex analysis clearly to non-technical audiences Why join IRIS? Work on high ...

distributed reporting ecosystems. Conduct data validation, quality checks, and impact assessments for model and logic changes. Develop scalable tabular models and optimized reporting structures Analytics, Reporting & Governance Manage reporting across multiple teams/domains in a structured, enterprise BI environment. Create clean, intuitive dashboards and wireframes aligned with business needs. ...

attained through opening new doors and focus primarily on new logo hunting AI Services Digital Engineering services Cloud Services Data Services, Data Analytics, BI & Technology support Business Application Services Pitch to the Chief Information Officer/Chief Technology Officer/Chief Operating Officers/Business Heads, other CXO level ...

reliability, ensuring pipelines support fast-moving trading environments Work with time-series technologies such as KDB or OneTick to optimise retrieval, querying, and analytics workflows Collaborate closely with researchers, traders, and engineering partners to translate data requirements into robust production solutions Introduce validation, reconciliation, and monitoring frameworks that guarantee ...

Integrate and refine pricing and risk models for real-time trading environments. Develop rules-based liquidity management for quoted underlyings. Enhance back testing, data analytics, and regression infrastructure. Build and maintain low-latency, high-throughput systems. 2. Cross-functional Collaboration Work side-by-side with quants and traders to productionize ...

+ Path to Meaningful Equity Role Type: Founding Engineer Mentality (Results-Oriented) About Us We are a lean and fast-growing AI and Data Analytics consultancy. While we have deep roots in AI, we build a wide variety of software solutions for our clients—ranging from high-performance mobile data ...

data infrastructure 10x faster than traditional methods. By automating the complex layers of data ingestion, preparation, and delivery, TimeXtender provides a secure foundation for analytics and AI across cloud, hybrid, or on-prem environments. We give data teams the agility they need and the governance compliance demands. The Role Join ...

Cerberus desks, portfolio companies, and other businesses. You'll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability. What you will … Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers ...

structured datasets, and ensure data accuracy and completeness. Design and implement ETL frameworks to ingest, transform, validate, normalise, and cleanse data - preparing it for analytics, reporting, and secure storage (e.g., Amazon S3, Azure Blob Storage, BigQuery, Snowflake). Apply data quality controls, build data models, and manage storage solutions within … Previous experience working on Defence, national security, or public-sector data programmes. Familiarity with data standards, compliance, and data-governance frameworks. Experience in data analytics and visualisation. Demonstrable interest in ongoing learning, research, and adopting new technologies. Benefits: Competitive total compensation package ( TC ) Opportunity to support high-impact Defence ...

Director of Data & Analytics Orbition Group are delighted to be working with a FTSE 100 group who are seeking a Director of Data & Analytics to lead of the UK's largest and most sophisticated data organisations. This is a high impact role driving AI, advanced analytics, BI transformation, and data … Performance: Own the performance and evolution of the pricing and claims algorithms Grow data assets, streamline data architecture, and maximise business value from advanced analytics Transform BI & Analytics: Drive automation, simplification, and self-serve outcomes Implement metrics, drive adoption of best practice, and foster a culture of data driven decision ...

London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications Pattern ...