201 to 225 of 5,261 Analytics Jobs in England

to appoint a Data Engineering Lead/Data Architect to support on the continued evolution their Data Strategy and roadmap towards using more advanced analytics and insight to drive commercial growth. You will be pivotal and hands-on in leading a small team of Data Engineers and BI Developers to … to appoint a Data Engineering Lead/Data Architect to support on the continued evolution their Data Strategy and roadmap towards using more advanced analytics and insight to drive commercial growth. You will be pivotal and hands-on in leading a small team of Data Engineers and BI Developers to … ETL/ELT processes to ingest data from new ERP system into Snowflake Architect and develop the Snowflake data warehouse to support reporting and analytics needs, incorporating existing SQL-Server based business logic, whilst optimising the warehouse structure for performance, scalability, and ease of use Ensure that the BI and More ❯

environment. Join us in transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities. The Role The Analytics Business Consulting Team is focused on supporting our customers by designing and delivering data and analytics solutions for the core business issues faced by today … s life sciences organizations. Their objective is to use analytics and Machine Learning to help our customers in Life Sciences engage in a better and more relevant way with Health Care Professionals, thereby improving patient care. In doing so, we ensure the enablement and adoption of the products aligned with … Veeva Data Cloud. The role of the EU Leader of Analytics in Business Consulting is to focus on five main items: Customer Engagement-Help identify the source of the business issues faced and leverage industry data and analytics to deliver solutions based on how these components drive successful business outcomes More ❯

Overview The Analytics Partner will play a crucial role in bridging the gap between data technology and business needs. This individual must be comfortable with ambiguity, adept at wearing multiple hats, and proficient in working directly with end users. Responsibilities include user training, data warehousing, and the development of top … effective use of data tools and technologies. Embrace ambiguity and take initiative to identify and solve complex data-related problems. Lead the scoping of analytics use cases by defining goals, requirements, timelines, and resource needs. Establish and manage project plans including key milestones, deliverables, and stakeholder communication. Monitor and report … the development of data governance practices and ensure data integrity and quality. Continuously evaluate and adopt new tools, technologies, and methods to enhance enterprise analytics capabilities. Work as a key member of the Analytics CoE to establish standards and best practices for enterprise analytics development via the federated model within More ❯

publishers globally, and the world's top demand-side platforms. Learn more at . Who You Are The Vice President of Strategy Analytics will be a key leader within Verve, tasked with elevating our data capabilities to the next level. In this role, you will drive a strategic vision for … analytics across our organization, enabling data-driven decision-making that impacts core business functions and enhances overall performance. You are a proven leader with a passion for transforming data into actionable insights, fostering a data-first culture, and building scalable analytics frameworks that influence both operational and strategic outcomes. As … a visionary, you will spearhead the development of innovative analytics solutions, unlock new opportunities, and ensure that Verve remains at the forefront of the digital advertising landscape. Your expertise in analytics, combined with a deep understanding of the ad tech ecosystem, will enable you to identify key drivers of success More ❯

ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data … Agile, Waterfall) and tools (e.g., JIRA, Confluence). PREFFERED QUALIFICATIONS •Minimum 1+ years of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in More ❯

Responsible for gathering reporting & analytical requirements across the company Development of reporting using KPI’s, dashboards & stories Helping to improve the user experience on analytics within the company Supporting the wider business with training on the use of the reporting tools What they are looking for: Previous experience in a More ❯

range of technical and non-technical stakeholders Coach non-technical colleagues on data use and interpretation Support the development of internal data capability and analytics maturity Essential Experience: Strong background in data analysis within local government or public services Proficiency in SQL , Power BI or Tableau , and preferably Python or More ❯

years of experience in a similar role OR a recent graduate with relevant placement/internship experience Degree in a relevant field (e.g., Data Analytics, Computer Science, Engineering, Business Intelligence) In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy. More ❯

Engineer will design and implement complex data flows to connect operational systems, build and maintain data environments, evaluate and develop tools to improve data analytics platforms and recognise opportunities to reuse existing data flows between teams. Requirements This role requires experience in data engineering with a proven track record in More ❯

analytical mindset with exceptional data visualization capabilities Proficiency in scripting/automation technologies Experience working within Agile methodologies 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 ❯

one of our leading manufacturing clients in Loughborough. As a Digital & IT Senior Analyst you are expected to be an advanced professional in business analytics and business processes, responsible for maintaining and supporting the end users and workstation environment at the facilities. The role provides installation, maintenance, and general support More ❯

accuracy Provide guidance to junior team members Requirements: Bachelor’s degree in Data Science, Statistics, Math, or similar 2+ years in data science or analytics Experience building machine learning models and analyzing data Background in designing experiments or solving real-world problems with data Strong coding skills in Python or More ❯

high-impact projects. Create and implement AI-driven solutions that personalise customer experiences and maximise marketing performance. Use A/B testing and advanced analytics to assess the real-world impact of data-driven strategies. Present findings to technical and non-technical stakeholders, driving data-led decision-making. What We More ❯

Work in a dynamic, supportive, and growth-focused environment. Opportunity to develop strong business analytics and BI skills. About Our Client A leading financial services provider supporting the automotive industry, offering innovative financing, leasing, and insurance solutions. They focus on enhancing customer experiences through data-driven decision-making, business intelligence More ❯

CTS, ScotEID, Xero). Identify and resolve data inconsistencies. Develop real-time dashboards and reports to track key performance indicators (KPIs). Provide predictive analytics and forecasting to support supply chain planning. Automate manual data collection and reporting processes to enhance efficiency. Ensure data compliance with regulatory standards and support More ❯

or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python More ❯

both technical and non-technical stakeholders Proactively identifying opportunities to improve business performance through data Supporting the wider team with varied tasks beyond traditional analytics, contributing to our close-knit culture What We're Looking For: Minimum of 3 years' experience in a data analyst or similar role Proficiency in More ❯

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

science team. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. 2+ years of experience in a data science or analytics role. Proficiency in Python or R, SQL, and data visualisation tools. Experience with machine learning models and statistical analysis. Preferred Skills: Familiarity with AWS and More ❯

dashboards, scorecards, and metrics. Strong communication and presentation skills, with the ability to interact with both technical and non-technical stakeholders. Expertise in advanced analytics and supporting the management of services/functions. Knowledge of risk management and visualization tools. Familiarity with SQL, Python, and other reporting/automation technologies More ❯

for their internal IT team. You can work from home 1 days a week. Summary: The Data Analyst will take full ownership of data analytics across the organization, driving Business Intelligence with a data-centric approach. Collaborating with stakeholders, this role will involve managing the entire data lifecycle, from data More ❯

business opportunity to work on real-time/streaming projects. Responsibilities Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives. Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high engineering standards Deploy and manage products using More ❯

goals Architectural Leadership: Serve as the owner and responsible person for all Databricks- related activities, acting as the architect across the Data Engineering, Data Analytics, and Data Science teams. Collaboration Enablement: Bridge the gap between teams by setting up templates and frameworks for seamless collaboration, data sharing, and enablement aligned More ❯

goals Architectural Leadership: Serve as the owner and responsible person for all Databricks- related activities, acting as the architect across the Data Engineering, Data Analytics, and Data Science teams. Collaboration Enablement: Bridge the gap between teams by setting up templates and frameworks for seamless collaboration, data sharing, and enablement aligned More ❯

goals Architectural Leadership: Serve as the owner and responsible person for all Databricks- related activities, acting as the architect across the Data Engineering, Data Analytics, and Data Science teams. Collaboration Enablement: Bridge the gap between teams by setting up templates and frameworks for seamless collaboration, data sharing, and enablement aligned More ❯