326 to 350 of 6,434 Permanent Analytics Jobs

cross-functional teams - Background in data governance and security best practices Preferred Qualifications: - Master's degree in Computer Science, Information Systems, or related field - AWS certifications (Solutions Architect, Data Analytics) - Experience with real-time data processing - Experience with version control systems (Git More ❯

UK (Cannot provide sponsorship) Join a leading UK consulting and administration business specialising in the pensions and insurance sectors. As an ML Ops Engineer in our Pensions Advisory - Data Analytics department, you will be at the forefront of developing and deploying machine learning models that enhance our consulting capabilities and client offerings. Day-to-day of the role: Model Development More ❯

Maintaining and enhancing reporting systems for sales and profitability. Presenting findings and recommendations to senior management to facilitate critical decision-making. Staying abreast of the latest developments in data analytics and visualisation techniques. What We're Looking For: At least three years in a data analysis role, with a track record of consistent achievement and seeing projects through to completion. More ❯

the automation of data workflows Provide support for ad hoc analytical requests and contribute to projects as needed The Skills You'll Need to Succeed: Degree educated in Business Analytics, Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL More ❯

the automation of data workflows Provide support for ad hoc analytical requests and contribute to projects as needed The Skills You'll Need to Succeed: Degree educated in Business Analytics, Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL More ❯

Preparation of data for modelling Quantify the catastrophe risk using vendor catastrophe models Operation of geo-visualisation tools including Arc GIS Contribute to the Global Markets Direct and Fac Analytics service offering development Understand and evaluate the impact of updates and revisions to models and the outputs produced Communicate results effectively to all stakeholders (i.e. cat modellers/brokers/ More ❯

Preparation of data for modelling Quantify the catastrophe risk using vendor catastrophe models Operation of geo-visualisation tools including Arc GIS Contribute to the Global Markets Direct and Fac Analytics service offering development Understand and evaluate the impact of updates and revisions to models and the outputs produced Communicate results effectively to all stakeholders (i.e. cat modellers/brokers/ More ❯

Preparation of data for modelling Quantify the catastrophe risk using vendor catastrophe models Operation of geo-visualisation tools including Arc GIS Contribute to the Global Markets Direct and Fac Analytics service offering development Understand and evaluate the impact of updates and revisions to models and the outputs produced Communicate results effectively to all stakeholders (i.e. cat modellers/brokers/ More ❯

. Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS Certified Solutions Architect) About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while More ❯

improvements across the organization. You will lead and develop a cross functional Team thatis dedicated to supporting patient care and operational efficiency. Your expertise will contribute to enhancing data analytics, streamlining reporting functions, and supporting strategic decision-making. Main duties of the job What You Will Do: Lead the Procurement Systems team to develop high-quality data flows and reporting More ❯

on testing aspects, identification of risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including — but not limited to — analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data More ❯

to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) IIBA-CCBA certification preferred Basic proficiency in at least one of the most commonly used backend programming languages More ❯

decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format • Partnering with other analysts and BI engineers in planning and analytics to build analytical solutions to deliver on business goals • Propose and implement business metrics for senior management reviews and work with business intelligence and data engineers to design and develop More ❯

benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance More ❯

Cybersecurity Familiarity with networking protocols, firewalls, VPNs, and cybersecurity practices is a strong plus, especially in defence-related projects. Database Knowledge Skills in databases like SQL, NoSQL, or data analytics tools. Skills Communication (Oral/Written) About CGI Group CGI is one of the largest IT and business process services providers in the world, delivering high-quality business consulting, systems More ❯

and Integration Solutions: Lead the development and maintenance of robust data models, data storage solutions, and data integration processes. Ensure that these elements work seamlessly together to support business analytics and reporting needs. Architectural Patterns and Best Practices: Define and implement architectural patterns and best practices to enhance the efficiency, scalability, and reliability of the data platform. Master Data Management More ❯

domains such as Commercial, Finance, Supply Chain, Product, and Regulatory. You will lead the design of a scalable, trusted, and connected data architecture that enables AI/ML, advanced analytics, digital transformation, and regulatory compliance. This is a critical leadership role in advancing the organization’s data-driven enterprise vision. Core Responsibilities of the Enterprise Architect Role: Bridge alignment between More ❯

to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) Desirable IIBA-CCBA certification preferred Basic proficiency in at least one of the most commonly used backend programming More ❯

analytical problems using quantitative approaches Required 4-7 years Working experience reporting and analyzing performance & dta visualization (Tableau, Power BI, etc.) Required 4-7 years Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research Required Working experience with Python, R, Go or similar statistics or data science language preferred. Preferred Telecommunications Preferred More ❯

analytical problems using quantitative approaches Required 4-7 years Working experience reporting and analyzing performance & dta visualization (Tableau, Power BI, etc.) Required 4-7 years Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research Required Working experience with Python, R, Go or similar statistics or data science language preferred. Preferred Telecommunications Preferred More ❯

This includes process mapping, requirements gathering/documentation, user story definition, functional specification definition, data modelling techniques, gap analysis, and financial appraisal techniques. Data Analysis Competence : Knowledge of data analytics and proficiency in using tools for data analysis and visualisation. Change and Transformation Exposure : Significant experience working within a change and transformation environment, with a fundamental understanding of change delivery More ❯

tight deadlines Ability to build positive relations within and outside the organisation, with health professionals and managers Professional/Specialist Knowledge Essential Knowledge and a strong interest in informatics, analytics and programming, underpinned by significant experience and/or theoretical study Demonstrable skills in using SQL Server, SQL Reporting Services and MS Excel and Power BI Advanced analytical and interpretation More ❯

day, you will build observable, scalable and resilient data services that ingest data from source systems into consuming applications such as our data warehouse to meet the needs of analytics engineers and stakeholders. You will make significant contributions to solution designs, provide technical guidance to other team members and champion iterative approaches to software delivery. You will work within a More ❯

into reporting environments. Gather and analyze business requirements to design scalable, efficient reporting solutions that align with organizational needs. Perform data modeling and develop optimized datasets to support advanced analytics and reporting performance. Create intuitive data visualizations that enhance interpretability and drive business insights for WAPA staff. Develop technical documentation, user guides, and training materials to support reporting solutions and More ❯

into reporting environments. Gather and analyze business requirements to design scalable, efficient reporting solutions that align with organizational needs. Perform data modeling and develop optimized datasets to support advanced analytics and reporting performance. Create intuitive data visualizations that enhance interpretability and drive business insights for WAPA staff. Develop technical documentation, user guides, and training materials to support reporting solutions and More ❯