1 to 25 of 42 Shiny Jobs

Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge of Generative More ❯

of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large More ❯

of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large More ❯

of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large More ❯

of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large More ❯

of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large More ❯

a working knowledge of Docker and HuggingFace. Additionally, you will have demonstrable experience in data visualization and creating digital tools and dashboards using R Shiny, Power BI, Tableau, or similar. You must have advanced taught or demonstrated skills in cleaning and analysing satellite-derived data analysis products and GIS More ❯

of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from large More ❯

working with cross functional teams across different geographies Advantageous/Useful skills – Programming and Data processing Spotfire, Tableau, Qlik, IBM Cognos, MicroStrategy, Alteryx, R Shiny, Google Charts, SSRS, Matplotlib, Seaborn, Plotly, Extensive Excel visualisation experience combined with expert SQL (we could potentially consider someone with extensive experience with both More ❯

including some or all of the following: Pentaho Business Analytics, SAS Enterprise Guide/Enterprise Miner, SAS Visual Analytics, PowerBI, R Studio and R Shiny Data quality tools such as SAS Data Management Studio Data Fabric tools, including some or all of the following: Pentaho Data Integrator and Talent More ❯

great critical thinking skills Experience in using SQL and either R or Python to analyse data Previous experience of using visualisation software (e.g. Tableau, RShiny, Power BI, Looker) Able to present to stakeholders confidently and good stakeholder management skills. What you will get to work on .key outputs and responsibilities More ❯

be falling behind. Comfortable using any quantitative programming language (Excel, VBA, R, Python, SQL, SAS, MATLAB). Familiarity with any business insights software (including Shiny, Power BI, Tableau, Markdown, etc.). Unafraid to learn and use new programming languages in two weeks or less. Ability to transform data into More ❯

/Github is expected; familiarity with PySpark and Snowpark will be a strong plus Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial Strong communication and presentation skills. Team-player and collaborative ("copy-left" vs More ❯

/Github is expected; familiarity with PySpark and Snowpark will be a strong plus Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial Strong communication and presentation skills. Team-player and collaborative ("copy-left" vs More ❯

supporting all businesses. We take a do-it-yourself approach and have built a stack composed of a variety of technologies (e.g. R, Python, Shiny, NoSQL, MySQL, PHP, Go, Subversion). We employ the tools best suited for a given job, and seek individuals who share that philosophy. Our More ❯

stakeholders Using R, Python and GCP tools to answer and automate business problems. Development and maintenance of existing data products (applications developed in R Shiny and Streamlit. Stay up-to-date with industry trends, best practices, and emerging technologies in (digital) analytics and insights. This role sits within our More ❯

delivery, right targeting, right advice, and right post sales treatment. What do I need? Demonstrated programming and modelling skills, ideally in SQL, Python, R, Shiny, Streamlit, PySpark, etc. Experience or understanding of cloud computing benefits and the parallelization of modelling and data processes. Currently pursuing or holding a Graduate More ❯

level (or above) education in STEM subject, or equivalent experience · Advanced SQL skills · Proficiency in the use of data visualisation tooling (Tableau and R Shiny preferred) · Proficiency in industry-standard analysis, testing, and measurement methodologies for solving complex business questions with data · Ability to effectively delegate and prioritise accordingly More ❯

ideally with some overlap to UK/European working hours Contract/freelance engagement with potential for extension Bonus Points for Experience with R Shiny or other interactive data platforms Familiarity with PostgreSQL in containerised environments Scripting chops in Python or Bash for tooling and automation Seniority level Seniority More ❯

delivery, right targeting, right advice, and right post sales treatment. What do I need? Demonstrated programming and modelling skills, ideally in SQL, Python, R, Shiny, Streamlit, PySpark, etc. Experience or understanding of cloud computing benefits and the parallelization of modelling and data processes. Currently pursuing or holding a Graduate More ❯

Sr Python DeveloperType: W2 With Benefits or W2 hourlyLocation: Washington DC or Reston, VAJob Description: - Strong AWSComplete List of Technical Skills: R RShiny AWS Unix/Linux Python Java SQL About SES Systems Engineering Services Co More ❯

submissions and HTA dossiers is a plus. Ability to work independently with excellent communication and leadership skills. Preferred Skills Proficiency in R, Python, Java, Shiny, Markdown, Unix/Linux, git. Additional Details Location: London, England, United Kingdom Employment type: Full-time Seniority level: Mid-Senior level Job function: Information More ❯

local associates including providing supervision and advice to these programmers on functional expertise and processes. Key skills HTA, RWE, HE OR, R/R-Shiny, SAS, Statistics, Leadership Collaborate with cross-functional teams, discuss status of deliverables and critical programming aspects (timelines, scope, resource plan) Review eCRF, discuss data More ❯

services Skilled in least one of the following to develop custom geospatial applications, including Esri APIs where relevant: Python, JavaScript, SQL, and R/Shiny Proficient in utilising Microsoft Azure services for cloud-based solutions (or similar) Successfully leading a small team to deliver technical tasks and geospatial services More ❯

ML Studio and Azure DevOps. Effective Communication: Present findings clearly through visualisation and reporting, including interactive dashboards and web applications using Power BI, R Shiny, or Python Flask. MLOps Maintenance: Maintain and enhance MLOps pipelines, focusing on model robustness and performance. Project Tracking: Manage code and project tracking using … reshaping using SQL, R/Tidyverse, and Python/Pandas. visualisation Expertise: Experience with data visualisation tools and frameworks such as Power BI, R Shiny, and Python Flask. Agile Methodology: Familiarity with Git and Azure DevOps for version control and agile task management. Statistical Acumen: Solid understanding of statistical More ❯