76 to 100 of 3,644 Visualisation Jobs

services, including S3, Redshift, AWS Glue, and AWS Lambda. Experience with Infrastructure as Code using AWS CDK. Proficiency in ETL/ELT processes and best practices. Experience with data visualization tools such as Quicksight. Required Skills: Strong analytical and problem-solving abilities. Excellent understanding of dimensional modeling and star schema design (facts, dimensions, SCD type 2). Experience with agile More ❯

analysis role Demonstrated expertise in operational dashboard development and automated reporting systems Strong SQL skills and experience working with large operational datasets Advanced proficiency with at least one data visualization tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics More ❯

analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social media analytics and understanding of user behaviour. 9.Familiarity with big data technologies, such as Apache More ❯

Enablement: Use skills and experience to embed best practice usage of data within the group and enable business champions in their use of Power BI. E ssential Skills Expert visualisation skills in Power BI. Excellent analytical, presentation, and report-writing skills with a focus on performance improvement. Excellent communication and collaboration skills. Able to work with C-suite level stakeholders. More ❯

SME Enablement: Use skills and experience to embed best practice usage of data within the group and enable business champions in their use of Power BI. Essential Skills Expert visualisation skills in Power BI. Excellent analytical, presentation, and report-writing skills with a focus on performance improvement. Excellent communication and collaboration skills. Able to work with C-suite level stakeholders. More ❯

SME Enablement: Use skills and experience to embed best practice usage of data within the group and enable business champions in their use of Power BI. Essential Skills Expert visualisation skills in Power BI. Excellent analytical, presentation, and report-writing skills with a focus on performance improvement. Excellent communication and collaboration skills. Able to work with C-suite level stakeholders. More ❯

explain data to non-technical users Degree in a relevant field such as Data Science, Business Analytics, Computer Science, or equivalent practical experience Experience using Zoho Analytics for data visualisation and reporting Familiarity with Salesforce CRM data and integrations Experience with cloud-based data platforms or APIs (e.g., Azure, AWS, REST APIs) Previous exposure to public-sector or innovation programme More ❯

for this role, you must have: Multi-skilled experience in data disciplines such as Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science, and Business Intelligence. Delivery experience using SAS technologies (SAS EG, SAS DI, SAS Viya). Ability to write complex SQL queries. Project experience with technologies like Tableau, Python More ❯

you must have: Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Delivery experience using the following core technology: SAS (SAS EG, SAS DI, SAS Viya). An ability to write complex SQL queries. Project experience using More ❯

domains (e.g., Finance, Supply Chain). Understanding of data governance principles, data quality management, and data compliance standards. Hands-on experience with data management tools, data analysis, or data visualization software (Python, SQL, Power BI) Experience in Data modeling (ideally Microsoft Azure). What can you expect from Mars? Work with diverse and talented Associates, all guided by the Five More ❯

data into actionable insight. Understanding of customer segmentation techniques, customer acquisition and lifetime values, predictive analytics, and forecasting. Expert of data manipulation and programming in SQL. Expert of Data Visualization tools such as Power BI, Tableau, etc. Experience in marketing campaign analysis. Can demonstrate commercial awareness with an understanding of the retail environment. Team player with proven leadership skills. Excellent More ❯

Required Skills & Experience Extensive Power BI development experience, including expertise in PBI Desktop, PBI Service, and content distribution. Strong understanding of data management platforms, BI lifecycle methodologies, and data visualisation best practices. Proficiency in SSMS or Azure Data Studio, dimensional data modelling (Kimball methodology), and data presentation in Power BI using DAX. Expertise in writing efficient and robust SQL code More ❯

in Python and SQL for data manipulation and model development. Experience in working with large-scale datasets and utilizing big data technologies (e.g., Azure, Databricks, Spark) Familiarity with data visualization tools such as Power BI, or matplotlib Strong knowledge of predictive modeling, machine learning techniques, and statistical analysis. Soft Skills Analytical mindset with a passion for uncovering actionable insights from More ❯

in mid-level languages, like Java, C++, Python, or SQL • Proficiency in Python. • Experience with Spark, DataBricks, and Structured Query Language (SQL) • Experience in Data wrangling, Machine Learning, Data Visualization, Database Management, Cloud Computing, and Data Governance. • Experience documenting decision charts, processes, and standard operating procedures • Experience building briefings and materials and presenting at varying levels of leadership, peers, and More ❯

increase efficiency. Data Analysis and Interpretation: Develop and oversee the analysis of datasets to identify trends, patterns, and actionable insights relevant to business objectives and major projects. Reporting and visualisation: Develop and deliver clear and impactful reports and visualisations to communicate key findings to stakeholders. Ensure that reports and dashboards are insightful and align with business objectives. Working closely with More ❯

trends or patterns. Through this interpretation process, data analysts can produce actionable insights to help organizations achieve their goals. He also supports business analyst with advanced statistical models. Data visualization: The data analyst turns their insights into visualizations that make abstract findings real for stakeholders. KPIs definition and implementation: The data analyst defines the performance KPIs with respect to the More ❯

IT development processes and delivery lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles Experience with Power BI or a similar data visualisation tool is desirable Exposure to C# or VB.NET, PowerShell and web technologies (JavaScript, ASP.NET, etc.) is desirable Why Just? We are committed to building a more sustainable business and have More ❯

large datasets and generate actionable insights. - Proficiency in SQL and at least one programming language (Python preferred). - Solid understanding of statistics and data modeling techniques. - Experience using data visualization tools such as Tableau, Power BI, or Looker. - High attention to detail and commitment to data accuracy. Preferred Qualifications - Experience working in a consumer technology, content, or creator economy business. More ❯

deliver data projects and models on time, to a high specification. Being able to communicate effectively with stakeholders to share and promote the good use of data. Embed data visualization best practices, including data storytelling, ensuring insights are impactful and actionable. Contribute to the creation of squad initiatives, aligning them with business goals. Investigate and correct data quality issues. Skills More ❯

statistical modelling techniques would be beneficial Experience in using LLMs or other AI to accelerate and enhance work, such as for data analysis Experience with Power BI or other visualisation tools Ability to communicate technical concepts, ideas and solutions in an accessible way to non-experts Interdisciplinary Skills: Organisation: Strong organisation skills with the ability to prioritise work effectively & efficiently More ❯

role requires strong analytical skills, an aptitude for data and insights translation and the ability to work across different functional stakeholders. The ideal candidate will have experience in data visualization, statistical analysis and problem-solving, coupled with the ability to communicate findings to stakeholders in a clear and actionable way. The role will engage with key stakeholders across sales, marketing More ❯

preferably within HR, People Analytics, or a similar field. Strong proficiency in SQL for querying, analyzing, and interpreting large datasets. Experience building and maintaining dashboards and reports using data visualization tools (e.g., Tableau, Power BI, Looker, Mode). Strong analytical skills with the ability to translate data into actionable insights. Experience working with HR metrics and understanding of HR processes. More ❯

knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control frameworks. Other: Must hold an Active DOD Secret, Top More ❯

common techniques for identifying and resolving them. Basic understanding of good coding practices, including the importance of logging, error handling, and data auditing. Interest or experience in using data visualisation tools, even at a basic or exploratory level (e.g. Power BI, Excel, Tableau). Organised and self-motivated, with developing time management skills and the ability to follow agreed plans More ❯

1 week ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Version 1 Job Description As a Senior Oracle Fusion Data Intelligence (FDI) Consultant , you More ❯