26 to 50 of 220 Analytics Jobs in the Thames Valley

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

of customer acquisition and help calculate the ROI/attribution of each channel to desired outcomes. Experience in working with data coming from Google Analytics, Google Ads, Google shopping, Meta, Bing etc. would be well received. Work with their internal marketing team to Inform and improve customer loyalty programmes to More ❯

vs. velocity. Manage product backlog in ALM tools such as Jira, Azure DevOps, etc. Qualifications Bachelor's degree in software engineering, computer science, data analytics or a related field. 1 - 3 years of experience working as a business analyst, product owner or similar role. Highly motivated self-starter with a More ❯

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 More ❯

initiative either by using existing templates or creating new models. Regularly engaging with stakeholders to elicit information and define scope of analysis. Support the Analytics team to promote and imbed our technology through championing our systems and running training sessions for the Commercial and wider business. Providing support to internal More ❯

architecture and interpret into a build plan. Leading the build and maintenance of scalable data pipelines and ETL processes to support data integration and analytics from a diverse range of data sources, Cloud storage, databases and APIs. Delivering large-scale data processing workflows (ingestion, cleansing, transformation, validation, storage) using best More ❯

working with the Head of Accounting on the transformation of existing financial processes and data, creating dashboards for revenue and accounting processes using data analytics, automation, and technology-driven solutions to enhance efficiency and accuracy of data collection. What you'll need to succeed The ideal candidate for this position More ❯

working with the Head of Accounting on the transformation of existing financial processes and data, creating dashboards for revenue and accounting processes using data analytics, automation, and technology-driven solutions to enhance efficiency and accuracy of data collection. What you'll need to succeed The ideal candidate for this position More ❯

ve worked cross-functionally in data-driven environments Relevant degree or certification in a data-related field , such as Computer Science, Information Systems, Data Analytics, or equivalent. Certifications in Master Data Management, Data Governance, or Profisee MDM are advantageous. A digital-first mindset : You embrace change, collaboration, and innovation like More ❯

development environment. Data Modeling and ETL/ELT Processes: Develop and optimize data models, ETL/ELT processes, and data lakes to support data analytics and machine learning. Requirements Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow. Azure Data Factory Knowledge: Experience More ❯

Responsible AI practices and ensure compliance with data privacy laws (e.g., GDPR, CCPA). Drive adoption of GenAI-powered tools for self-service automation, analytics, and search capabilities, while providing leadership and mentorship to AI and engineering teams. Identify and mitigate AI risks (e.g., model drift, data bias) and continuously More ❯

Experience with relational databases and optimization. Specifically, strong knowledge with SQL Server and Oracle. Experience with continuous delivery and automated testing preferred. Knowledge of analytics and technology product integration. Knowledge of modern development practices and the development lifecycle with experience using Scrum, Kanban, Lean or other agile methodologies. Experience creating More ❯

data manipulation and analysis. - Strong SQL skills for querying and managing data within Azure environments. - Practical knowledge of Azure services such as Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage. - Proven ability to identify and resolve complex data issues independently. Experience Required: - A minimum of 15 years More ❯

Skills: DevOps & Automation: Familiarity with DevOps practices, Azure DevOps, CI/CD pipelines, PowerShell, and automation scripting. Monitoring & Management: Experience with Azure Monitor, Log Analytics, and Application Insights. Power Platform: Experience with Power Apps, Power Automate, and Power BI to create business solutions. Certifications: Microsoft certifications such as AZ More ❯

re someone who loves combining technical depth with leadership and strategic thinking, this ones for you. You'll work closely with engineering, product, and analytics colleagues to translate business challenges into high-impact data science projectseverything from proof of concept to deployment. Your ability to communicate insights to non-technical More ❯

re someone who loves combining technical depth with leadership and strategic thinking, this ones for you. You'll work closely with engineering, product, and analytics colleagues to translate business challenges into high-impact data science projectseverything from proof of concept to deployment. Your ability to communicate insights to non-technical More ❯

re someone who loves combining technical depth with leadership and strategic thinking, this ones for you. You'll work closely with engineering, product, and analytics colleagues to translate business challenges into high-impact data science projectseverything from proof of concept to deployment. Your ability to communicate insights to non-technical More ❯

re someone who loves combining technical depth with leadership and strategic thinking, this ones for you. You'll work closely with engineering, product, and analytics colleagues to translate business challenges into high-impact data science projectseverything from proof of concept to deployment. Your ability to communicate insights to non-technical More ❯

re someone who loves combining technical depth with leadership and strategic thinking, this ones for you. You'll work closely with engineering, product, and analytics colleagues to translate business challenges into high-impact data science projectseverything from proof of concept to deployment. Your ability to communicate insights to non-technical More ❯

and regulatory bodies. This individual will conduct risk assessments, foster process automation, and collaborate closely with People Business Partners, People Operations, Total Rewards, Data & Analytics, People Leaders, Employees, SMEs, and internal and external Counsels across EMEA, APAC, NORAM and LATAM. Specific Responsibilities: • Develop, implement, and maintain comprehensive employee compliance programs. More ❯

with Redshift, Neptune, Timestream, or other AWS data services. Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments. Familiarity with machine learning & analytics pipelines on AWS. Experience working on AWS MAP-funded modernisation projects. Benefits Overview 25 Days Paid Time-off Birthday Leave Company Bonus Scheme Flexible Working More ❯

performance and decision-making. Own and communicate a platform roadmap , managing competing priorities across different business objectives. Develop strong partnerships with stakeholders, including Engineering, Analytics, Data Science, Marketing, and Customer Service teams , to align on goals and execution. Influence group-wide strategies , collaborating with the Tripadvisor team to ensure Viator More ❯

Job Description: The People Analytics team at Mars aims to provide a team of technical experts for the delivery of advanced analytics products and solutions within the P&O function. Working in an Agile manner, we provide expertise on building analytics solutions in an efficient, cost-effective, and durable manner. … Solutions are focused on the recent launch of the People Analytics Data Lake Ecosystem (PADLE) solution. Hosted in the Azure cloud, this analytics platform supports the secure transformation and processing of Mars People Analytics data. People Analytics was formed just over five years ago as part of an ambitious journey … to transform our P&O analytics capabilities. This involves building foundational services to provide our associates with helpful insights through fast results and resolving complex problems. Building on the momentum gained in the past years, we are creating new and exciting roles to involve the talent and experience that we More ❯