326 to 350 of 3,626 Visualisation Jobs

address security-related risks. BASIC QUALIFICATIONS - Bachelor's degree or equivalent - Relevant advanced experience building complex SQL queries with large scale datasets - Relevant advanced experience building products on data visualisation tools (e.g., QuickSight, PowerBI, Tableau) - Relevant advanced experience with data modelling, warehousing and building ETL pipelines - Relevant advanced experience with scripting language (e.g., Python, Java, or R) PREFERRED QUALIFICATIONS - A More ❯

using Microsoft Excel for organizing and analyzing data Some familiarity with SQL or a strong interest in learning it Exposure to tools like Power BI, Tableau, or other data visualization platforms is a bonus, but not essential An eye for detail and a problem-solving mindset Clear communication skills and the ability to share insights with both technical and non More ❯

Cola Company does not sponsor work visas for this role. Applicants must be authorized to work in the US. Skills: Advanced Analytics, Business Intelligence, Campaign Development, Data Science, Data Visualization, Cross-Functional Leadership, Vendor Management, Strategic Communication, Innovation. Pay Range: $130,000 - $147,000 Annual Incentive: 15% #J-18808-Ljbffr More ❯

Analytics, Computer Science, Mathematics, Business, or related). 3 – 5 years of experience in game analytics, data analytics, or business intelligence. Hands-on experience with SQL, Excel, and data visualization tools (Tableau preferred). Familiarity with data telemetry, taxonomy, and cloud analytics (Databricks, etc). SKILLS Telemetry or other data design experience Analytical mindset – ability to turn data into actionable More ❯

data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and More ❯

4+ years of data scientist experience - 5+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience PREFERRED QUALIFICATIONS - 3+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Master's degree in a quantitative field More ❯

potential hazards and by adopting continuous improvement and human factors principles with their work. Qualifications/Requirements Proficiency in various programming languages (e.g., Python, R), statistical software, and data visualization tools (e.g., Power BI) Advanced knowledge of MS EXCEL Ability to identify and solve complex problems related to both data and systems Familiarity with how businesses work and how IT More ❯

reimagining the future landscape Technical Skills Essential Proficient in SQL with a proven track record of handling complex data queries and manipulation Demonstrable experience with Tableau or similar data visualisation tools, including the ability to create insightful and user-friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data More ❯

understanding of data governance and modeling best practices with hands-on implementation experience. Tools : Proficient with data warehousing/modeling tools like Datasphere (preferred) or Google Big Query, and visualization tools such as Power BI or SAP Analytics Cloud. Project Leadership : Experience leading BI projects and Data Warehouse implementations in large IT environments with multiple platforms and data sources. Supply More ❯

data models for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes Experience in a supervisory role Deep knowledge of NHS data and issues Visualization and report writing skills Performance management experience Experience in change management and delivering successful outcomes Experience communicating with technical and non-technical colleagues Experience working in the NHS, Social Services More ❯

data models for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes Experience in a supervisory role Deep knowledge of NHS data and issues Visualization and report writing skills Performance management experience Experience in change management and delivering successful outcomes Experience communicating with technical and non-technical colleagues Experience working in the NHS, Social Services More ❯

science and machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI solutions into existing More ❯

of the data world: Business Operations: Carry out operational activities associated with the efficient running of a large data department, such as communication, risk management, finance, resource management. Data Visualisation and Reporting: With support from more experienced colleagues, create Power BI dashboards and reports that help our colleagues make informed decisions. Data Engineering: Develop low to mid complexity data processes More ❯

skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). 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 More ❯

effective in the way we use data, automation, and AI. Responsibilities: People Analytics Lead, coach and develop a high-performing team of People Analysts, building capability in storytelling, data visualisation, analytics and AI experimentation. Set the strategic direction for People Analytics, aligned with our business and talent priorities. Deliver actionable insights across key areas such as workforce planning, engagement, retention More ❯

of the data world: Business Operations: Carry out operational activities associated with the efficient running of a large data department, such as communication, risk management, finance, resource management. Data Visualisation and Reporting: With support from more experienced colleagues, create Power BI dashboards and reports that help our colleagues make informed decisions. Data Engineering: Develop low to mid complexity data processes More ❯

and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a More ❯

years of experience in Data Analysis and Data Pipeline Engineering • Knowledge of Snowflake Architecture, Best Practices, and Implementation required • Strong knowledge of Snowflake SQL Development is required • Experience with Visualization BI tools (Looker is required. Tableau and/or Power BI is a plus). • Knowledge of Microsoft Fabric and Microsoft SQL Server is a plus • Experience with a scripting More ❯

and management Track record of managing large-scale data and analytics platforms and leading cross-functional teams Robust knowledge of data management practices, including data warehousing, ETL and data visualisation tools (e.g., Power BI, Tableau, Qlik) Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data management solutions Understanding of data governance principles, including security, privacy and regulatory compliance More ❯

and management Track record of managing large-scale data and analytics platforms and leading cross-functional teams Robust knowledge of data management practices, including data warehousing, ETL and data visualisation tools (e.g., Power BI, Tableau, Qlik) Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data management solutions Understanding of data governance principles, including security, privacy and regulatory compliance More ❯

ability to run, analyse and provide performance ratings Comfortable presenting analysis across a range of formats (Google and Microsoft applications (i.e google slides, microsoft excel) and experience with data visualisation tools such as Tableau or Looker Studio Strong analytical skills, including a solid grasp of statistical concepts and techniques, with the ability to synthesise data from multiple sources to deliver More ❯

in, understanding and use of generative AI to speed up learning, development and implementation of systems, while understanding and navigating its limitations Advanced understanding of business intelligence and data visualisation tools (incl. PowerBI) Solid grasp of database design, SQL optimisation and API integration Excellent problem-solving abilities and a proactive mindset, with the capacity to work independently and manage projects More ❯

in, understanding and use of generative AI to speed up learning, development and implementation of systems, while understanding and navigating its limitations Advanced understanding of business intelligence and data visualisation tools (incl. PowerBI) Solid grasp of database design, SQL optimisation and API integration Excellent problem-solving abilities and a proactive mindset, with the capacity to work independently and manage projects More ❯

accounting, Finance, Economics, or Business-related field. Experience in an Analysis and Reporting role would be a plus. Thorough understanding in financial accounting. Proficiency with data analysis, reporting and visualization tools such as MS Excel, Power BI, and Python. Expert system knowledge of any existing ERPs (example: Oracle E1, SAP) and third-party enabling software is essential to perform this More ❯

skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). 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 More ❯