1 to 25 of 35 Permanent 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 ❯

identify trends, and provide actionable insights through data storytelling and visualizations. Experience using data visualization tools (e.g. Oracle Analytics Cloud, Power BI, Tableau, R Shiny), including how to clean, transform and aggregate data to create meaningful insights. Preferred Experience Knowledge of HR processes and metrics. Experience using statistical computer 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 ❯

tools and understanding of tracking implementation (e.g. Piano Analytics, Google Analytics, Adobe Analytics) and the ability to create dashboards using tools like Tableau, R Shiny or similar Advanced SQL skills and proficiency in another scripting language e.g. Python, R and experience using big data tools (AWS, Microsoft Azure, Snowflake 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

manager, business analyst in an IT product company Skills and competencies were looking for Excellent knowledge of business metrics Experience with Google Analytics/Shiny/Tableau or any other analytical tool Expertise in MS Excel, PowerPoint Solid analytical skills and data-driven decision making: being used to working More ❯

initiatives. Key Qualifications: * Proven experience in financial transformation projects, ideally from an actuarial background. * Strong technical background with exposure to Python, C++, and R Shiny, RAFM etc. * Excellent communication skills, with the ability to convey technical and non-technical information effectively. * Experience in leadership roles, with a focus on More ❯

and collaboration skills. Bachelor’s, Master’s, or equivalent in statistics, computer science, mathematics, or related fields. Strong programming skills in R/R Shiny; Python and SAS are desirable. Experience with late-phase studies, RWE, and HEOR preferred. At least 7+ years supporting clinical trials or within the More ❯

Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge of data … techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny, and related R libraries for analysis and visualization. Basic knowledge of Python and/or other programming languages (e.g., C++, Java) is a plus. More ❯

Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge of data … techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny, and related R libraries for analysis and visualization. Basic knowledge of Python and/or other programming languages (e.g., C++, Java) is a plus. More ❯

Management, Biostatistics, and Centralized Monitoring At least 2 years of experience in SAS and at least one of the following: R, Python, Jupyter, SQL, Shiny, Spark and associated packages and libraries Full professional proficiency in English Strong analytical and logical thinking Communication and collaboration skills Nice to have: Experience … and ELT/ETL processes Knowledge of statistical methods, data analysis, and Machine Learning techniques Experience with database engineering, product testing and validation, and Shiny development Additional Information What we offer: We value your time so the recruitment process is as quick as 3 meetings We'll prepare you More ❯

Design, develop, test and deploy interactive R Shiny web applications. Worked on R packages like Data.Table, dplyr, tidyr, ggplot2, shiny dashboard among others. Write clean, efficient and well documented R code, conduct R code reviews and R programming validation Implement unit tests and ensure the quality and performance More ❯