Hire the Best Shiny Specialists

More than 3,000 reviews on G2
Rating is 4.5 out of 5.
4.5/5
of Upwork by G2 peer reviewers
David O.

Pulaski, New York

$58/hr
4.8
70 jobs

I turn messy, high-stakes data into decisions people can act on. Over 15+ years and 66 Upwork contracts (~4.9/5 stars across rated jobs, 84% perfect 5.0s), I've built my practice on one promise: you get a clear answer, a tool your team can actually use, and plain-English communication throughout. What I do best: * Interactive R Shiny dashboards and analysis platforms: 12+ shipped, including a 20+ package bioinformatics platform and a no-code causal-inference tool for pharmaceutical analysts * Machine learning and predictive modeling: injury prediction for an NFL franchise, mortgage default risk, game simulation * Statistical analysis: hierarchical Bayesian modeling, MaxDiff and survey analytics, meta-analysis, causal inference * R package development: a production package built over a 952-hour flagship engagement, plus a released CRAN package * Quantitative finance: DCC/GARCH modeling, asset allocation, backtesting frameworks Domains I know well: healthcare and EHR data, bioinformatics and genomics, finance and trading, marketing analytics, survey research, and sports. How I work: independently, end to end. Most clients hand me a problem, not a spec. I scope it, deliver in agreed milestones, and explain the results so non-technical stakeholders can make the call. That approach is why most of my work is repeat business, and why "Committed to Quality" and "Clear Communicator" are my two most-endorsed client tags. M.S. in Bioinformatics from Johns Hopkins. Co-author on 8 peer-reviewed papers. US-based native English speaker. If you have data that should be driving a decision and isn't yet, let's talk.

  • R Shiny
  • Data Science
  • R
  • Data Visualization
  • Machine Learning
  • Plotly
  • Data Scraping
  • Quantitative Analysis
  • Bioinformatics
  • Analytics
  • Statistics
  • Forex Trading
  • API
  • Data Analysis
Dafa S.

Dijon, France

$15/hr
5.0
14 jobs

I am a highly skilled Data Scientist, specializing in statistical analysis, geospatial analysis, and sophisticated data management techniques. My proficiency in R and Python, coupled with a strong foundation in ecological and environmental analysis (QGIS), enables me to deliver precise, data-driven insights and solutions. Overview: 1️⃣Statistical Analysis & Modeling: Proficient in statistical methodologies, hypothesis testing, regression analysis, and predictive modeling to derive actionable insights from data. 2️⃣R Programming: Expert in data manipulation, statistical analysis, and visualization using R, including packages such as ggplot2, dplyr, and tidyr. 3️⃣Python Programming: Advanced skills in Python for data analysis, machine learning, and automation with libraries like pandas, NumPy, scikit-learn, and matplotlib. 4️⃣Geospatial Analysis: Skilled in GIS software and spatial data analysis, proficient in handling geospatial data, creating maps, and performing spatial statistical analysis. 5️⃣Ecological & Environmental Analysis: Proficient in analyzing ecological and environmental data, conducting impact assessments, and providing actionable insights for conservation and sustainability projects. 6️⃣Data Query & Management: Experienced in SQL for data querying and database management. Strong ability to handle large datasets and ensure data integrity and performance optimization. Key Highlights: ⭐️ Available 7 days a week ⭐️ Fluent in English ⭐️ Fast response time ⭐️ Give updates daily ⭐️ Long-term project support Skills: ✅ Statistical analysis and modeling (R, Python) ✅ Geospatial analysis (QGIS, R) ✅ Data query (SQL) ✅ Data Cleaning ✅ Data Mining ✅ Data Scraping ✅ NLP (R, Python) ✅ Data Extraction (from websites, PDFs, etc.) ✅ Database Connection (SQL, Google Sheets,) ✅ Data Collection & Web Research

  • R Shiny
  • Data Analysis
  • Python
  • R
  • Tableau
  • SQL
  • Statistics
  • Data Analytics & Visualization Software
  • Geospatial Data
  • Excel Formula
  • GIS
  • QGIS
  • Analytics
  • GeoJSON
  • Machine Learning
Akash K.

Pune, India

$15/hr
5.0
9 jobs

I am a Data Scientist with a Master's degree in Statistics and professional experience delivering data-driven solutions through statistical modeling, machine learning, and advanced analytics. I help businesses, researchers, and organizations transform complex data into actionable insights that support informed decision-making. My expertise includes statistical analysis, predictive modeling, machine learning, data visualization, and interactive application development. I have worked on projects across business analytics, healthcare, biostatistics, transportation, and academic research, developing solutions that are both technically robust and practically useful. I specialize in building end-to-end analytical workflows, from data collection and preprocessing to modeling, visualization, and reporting. I also develop interactive applications using R Shiny and other Posit products to help stakeholders explore data and automate decision-making processes. Areas of Expertise • Statistical Modeling and Data Analysis • Machine Learning and Predictive Analytics • Hypothesis Testing and Experimental Design • Regression Analysis and Multivariate Methods • Data Cleaning, Preprocessing, and Feature Engineering • Exploratory Data Analysis (EDA) • R Shiny Application Development • Interactive Dashboards and Data Visualization • Business Analytics and Decision Support • Research and Biostatistical Analysis Technical Skills • Python (Pandas, NumPy, Scikit-learn, XGBoost) • R (Shiny, tidyverse, ggplot2, caret) • SQL • Posit Products (Shiny, Quarto, R Markdown) • Excel and Power BI • Statistical and Machine Learning Techniques • Master's Degree in Statistics • Top Rated Freelancer with 100% Job Success • Experience delivering machine learning, analytics, and statistical solutions • Strong communication with both technical and non-technical stakeholders • Commitment to producing accurate, reproducible, and well-documented work Whether you need advanced statistical analysis, predictive models, interactive R Shiny applications, or comprehensive data solutions, I am committed to delivering high-quality results that create measurable value.

  • Machine Learning Model
  • Data Analysis
  • Machine Learning
  • Artificial Intelligence
  • Analytical Presentation
  • Data Mining
  • Mining
  • R
  • RStudio
  • Image Segmentation
  • Statistical Analysis
sheikh uzair A.

Lahore, Pakistan

$50/hr
4.8
948 jobs

Got a repetitive, time-consuming data analysis task? I turn raw data into decisions, decisions into systems, and manual work into automated workflows — saving you hours every week with data analytics and AI automation. 𝗪𝗵𝗮𝘁 𝘀𝗲𝘁𝘀 𝗺𝗲 𝗮𝗽𝗮𝗿𝘁: I don't just analyze your data — I build the AI-powered systems that keep working even after the project ends. My process starts with robust data analysis scripts in Python and R, then extends into interactive Power BI dashboards that visualize your data in real time. From there, I use frameworks and tools like Microsoft Azure AI Foundry, n8n, Zapier, LangChain, and AutoGen etc. to build multi-agent systems that flag anomalies before they become problems, automate reporting, and connect your data pipelines directly to decision-making workflows. If your team is losing hours to copy-pasting numbers, manual reporting, or slow data analysis, I can automate that permanently — turning what took hours into minutes. 𝗖𝗼𝗿𝗲 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: 🔹 Statistical analysis & predictive modeling (using Python and R etc.) 🔹 Interactive dashboards (using Power BI) 🔹 AI agent development and workflow automation (using Microsoft Azure AI Foundry, LangChain, AutoGen, and OpenAI/Claude APIs etc.) 🔹 ETL pipeline design & data engineering 🔹 Market research, financial, economic & medical data analysis 🔹 Risk analysis, forecasting & customer segmentation 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗸𝗲𝗲𝗽 𝗰𝗼𝗺𝗶𝗻𝗴 𝗯𝗮𝗰𝗸: ✅ 100% Job Success 🏆 Top Rated 💰 $80K+ revenue generated I deliver analysis that's statistically sound 𝘢𝘯𝘥 business-ready — no jargon, no black boxes, just clear answers and the automation to keep them coming. Got a repetitive data analysis task eating your time? Send me a message — let's automate it.

  • Data Analysis
  • R
  • Python
  • IBM SPSS
  • Stata
  • Microsoft Power BI
  • EViews
  • NVivo
  • Microsoft Excel
  • Analytics Dashboard
  • Economics
  • Finance & Accounting
  • AI Agent Development
  • Software Development
  • App Development
Dolores P.

Murcia, Spain

$30/hr
5.0
9 jobs

I work on data integration, reconciliation, validation and reporting automation, mainly with operational data coming from multiple sources. I usually get involved when totals do not match, KPI definitions are unclear, or reporting depends on repetitive manual work. My work includes: * multi-source data integration * data validation and reconciliation * KPI and reporting logic checks * reporting automation * data cleaning and standardization * R/Shiny analytical applications * reproducible workflows and documentation Main tools: R, Shiny, SQL, tidyverse, R Markdown, Excel, REST APIs, CSV/JSON and Git. Recent work includes integrating and validating more than 59,000 appointments and 54,000 patient records for a multi-location US dental group, building a multi-bank reconciliation workflow with configurable matching rules, and consolidating multi-year real estate data into clear comparative reporting for business decision-making. I document assumptions, validation rules and unresolved issues so the workflow can be reviewed, maintained and updated later.

  • R Shiny
  • R
  • Dashboard
  • Data Visualization
  • SQL
  • Data Analysis
  • Business Intelligence
  • Statistical Analysis
  • ETL
  • ggplot2
  • Data Analytics
  • Data Modeling
  • Data Integration
  • Data Cleaning
  • Microsoft Excel
  • RStudio
  • Tidyverse
  • Data Wrangling
  • Data Quality Assessment
  • Interactive Data Visualization
Shubham K.

Bengaluru, India

$35/hr
4.4
260 jobs

⭐⭐⭐⭐⭐ 5.00 across 210+ Jobs AI RAG LLM AGENTIC AI, Vibe coding 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 (𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁) 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 (𝗣𝗟𝟯𝟬𝟬 💎 Top Rated PLUS, Trusted by 210+ clients, 11000 + 🅷🅾🆄🆁🆂 worked, )High-quality outcomes & your trusted companion for the long-term data journey. 12+ Yrs of immense ex 🏅 Top 1% of Tableau Developers 🏅 Top 1% of PowerBI Developers 🏅 Top 1% of Sigma computing Developers Open for a long-term opportunity 15+ years of immense experience in building 200+ solutions and implementing in QlikView Domo, Klipfolio, and Tableau, Power BI projects single-handedly. I also have sound knowledge of ETL, Datamining, data fetching, Oracle database, Google Analytics, Social media analytics. I am also Tableau sales accreditation certified and attended tableau basic and advanced paid training certification as well. I also have snowflake core certification, and also Klipfolio certified expert, please visit my certification section for more info. Skillset: ✅ Tableau ✅ Klipfolio ✅ Qlikview ✅ Domo ✅ Google data studio ✅ Sisense ✅ Looker ✅ Power BI ✅ Click data ✅ AWS Quick sight ✅ Google analytics ✅ Tealium ✅ Airtable ETL Tools: ✅ Azure DataFactory ✅ AWS Glue ✅ Alteryx ✅ Integromat/Make ✅ Knime ✅ Power Automate Databases: ✅ SQL Server ✅ Oracle ✅ Hadoop impala/hive ✅ Mongo DB ✅ Postgres Sql ✅ Snowflake/Amazaon RDS 💎 Top Rated PLUS | 🕐 Fast Turnaround 🌟WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Client Reviews ✅ Communication ✅ Mastery 🟢 GO GREEN 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸🟢 Cloud: Azure (Data Factory, Synapse, Fabric), GCP (BigQuery, Dataflow), AWS Languages: Python, SQL, R, Scala, DAX, JavaScript Orchestration: Airflow, dbt, Prefect, Kafka, CI/CD, Git BI: Power BI, Looker Studio, Tableau, QlikView, Excel/Power Pivot AI/Automation: Clawdbot, Moltbolt, Openclaw, LangChain, n8n, Make, Zapier, Pinecone CERTIFICATIONS 🏅 Tableau Desktop Specialist Certified 🏅 Tealium Specialist Certified 🏅 Microsoft Certified: Power BI Data Analyst 🏅 Google Data Studio Certified 🏅 Alteryx Designer certified 🏅 Microsoft Certified Professional (MCP SQL) 🏅 Excel and Spreadsheets Expert 🏅 Zoho and Looker Expert 🏅 D365 CRM and SharePoint Expert 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱: - Engineered ETL pipelines processing 50M+ events/day across GCP, Snowflake, and BigQuery - Delivered a $47K enterprise AI + web application rated elite by the client - Replaced manual reporting workflows saving teams 20+ hours per week - Scaled Power BI datasets from thousands to 10M+ rows without performance loss - Built AI document parsing systems handling enterprise-grade extraction and classification - Designed Snowflake data warehouses with optimized dimensional models for executive reporting 𝗣𝗶𝗹𝗹𝗮𝗿 𝟭: 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 ETL/ELT architecture, real-time ingestion, CDC patterns, incremental loads, and warehouse modeling. I work across Snowflake, BigQuery, Databricks, Azure Data Factory, dbt, Airflow, and Kafka. Clean data contracts, reliable refreshes, and systems your team can maintain. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟮: 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 (𝗔𝗟𝗟 𝗧𝗼𝗼𝗹𝘀) Power BI (semantic models, DAX, embedded analytics, Power BI Service, Fabric), Looker Studio, Tableau, QlikView, and Excel/Power Pivot. From KPI frameworks and dimensional modeling to real-time executive dashboards I build reports that are fast, accurate, and aligned to decisions. Performance tuning for slow or bloated reports is a core specialty. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟯: 𝗔𝗜, 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Production-grade LLM integration using Clawdbot, Moltbolt, Openclaw, LangChain, and RAG architectures. Custom AI agents with guardrails, human-in-the-loop controls, and monitoring for enterprise safety. Workflow automation through n8n, Make, Zapier, Langflow, Flowise, and SimStudio — connecting AI to your CRM, ticketing, email, Slack, and internal systems with role-based access and audit trails. Typical AI deployments: AI support agents, document intelligence pipelines, internal ops copilots, knowledge search with permissions, and intelligent lead qualification systems. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: Healthcare (EHR, operational analytics, HIPAA-compliant reporting) Finance & Enterprise (P&L, KPI dashboards, multi-source consolidation) SaaS & Startups (product analytics, embedded BI, growth pipelines) 𝗠𝘆 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: Every engagement starts with a short audit current-state review, data access, KPI definitions, and a milestone delivery plan with clear timelines. Then we build in iteration cycles with hardening, documentation, and handover so your team owns the system when I'm done. I always leave things better than I found them. Proper data models, clean logic, version-controlled code, and documentation your team can actually work with. Have a project in mind? Click "Invite to Job" let's talk.

  • Tableau
  • R
  • Looker Studio
  • Data Visualization
  • Dashboard
  • Python
  • Microsoft Power BI Data Visualization
  • Alteryx, Inc.
  • SQL Programming
  • Data Mining
  • Database Design
  • Data Modeling
  • Data Analytics
  • Snowflake
  • Market Research

How it works

Post a job for freePost a job

Tell us what you need. Create your own job post or generate one with AI then filter talent matches.

Hire top talent fast

Consult, interview, and hire quickly, so you can meet the freelancers you're excited about.

Collaborate easily

Use Upwork to chat or video call, share files, and track project progress right from the app.

Payment simplified

Manage payments in one place with flexible billing options. Only pay for approved work, hourly or by milestone.

Don't just take our word for it

What does a Shiny specialist do?

A Shiny specialist builds interactive web applications using the R programming language and the Shiny framework. This role transforms static data analysis into dynamic tools that allow users to explore datasets through live inputs and immediate visual feedback. The developer writes both the user interface code and the server-side logic that powers reactive computations. They package these applications for deployment so stakeholders can access them through a standard web browser without installing local software.

  • Designs the user interface and server logic by defining reactive inputs and outputs within an app.R file or separate UI and server components. The specialist wires user actions such as dropdown selections or slider adjustments to specific data transformations so plots and tables update instantly when values change.
  • Manages application dependencies and prepares the codebase for production environments by resolving required R package versions. This work includes configuring the rsconnect library or other deployment tools to bundle the application correctly for hosting on platforms like shinyapps.io or self-hosted Shiny Server instances.
  • Deploys the finished application to a chosen hosting target and verifies that the web endpoint functions as intended for end users. The specialist monitors the live app for performance issues and iterates on the code to fix bugs or add new features based on user feedback and changing data requirements.

How to hire a Shiny specialist on Upwork

Step 1: Post a job

Define your interactive data application needs clearly to attract qualified R developers. The Job Post Generator powered by Uma™, Upwork's Mindful AI helps you draft a precise description in seconds. Describe your project goals in a few sentences and Uma writes a tailored post for this role. You can publish the new listing immediately, update a saved draft, or reuse an existing post structure.

  • Specify that the freelancer must build reactive UIs and server logic using the R Shiny framework.
  • List required deliverables such as interactive dashboards, data visualizations, or deployable app bundles.
  • State whether the role involves deploying to shinyapps.io via rsconnect or managing self-hosted Shiny Server instances.

Step 2: Evaluate candidates

Look for portfolios that demonstrate working web endpoints and complex reactive programming models. Uma runs instant video interviews and builds shortlists with side-by-side comparisons to speed up your review process. Focus on candidates who show clean code structures and successful deployment histories.

  • Verify experience wiring user inputs to outputs so plots and tables rerender dynamically.
  • Check for evidence of resolving R package dependencies and packaging code for production environments.
  • Review past projects for maintained applications that received iterative updates after initial release.

Step 3: Interview your top choices

Discuss technical approaches to interactivity and deployment strategies during your conversations. Schedule and conduct these interviews within Upwork Messages to keep communication centralized. The platform generates an immediate transcript and summary after each session for your records.

  • Ask how they structure app.R files or separate UI and server components for scalability.
  • Question their process for verifying that an app runs as intended on the chosen hosting target.
  • Explore their method for sharing published apps and ensuring end users access the correct web endpoint.

Step 4: Agree on scope and begin work

Set clear milestones for building, testing, and deploying your Shiny application. Use Upwork Messages and the contract workroom to manage tasks and share files securely. Identity verification, payment protection, hourly tracking, and project funds add layers of security to your engagement.

  • Define the specific interactive features and visualizations the freelancer must code into the app.
  • Confirm the deployment mechanism, such as rsconnect for shinyapps.io, before work begins.
  • Establish criteria for accepting the final deliverable, including a functional web endpoint and clean dependency management.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring a Shiny specialist cost?

$500-$1,500 per project is a typical range for focused Shiny specialist work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

UI prototype

$500-$1,200/project

Entry-level to mid-level
  • Basic user interface structure with reactive inputs
  • Static plots or tables linked to sample data
  • Clean app.R file ready for local testing

Interactive dashboard

$1,200-$3,000/project

Mid-level
  • Reactive server functions connecting inputs to outputs
  • Dynamic charts and data tables updating in real time
  • Published app on shinyapps.io with working endpoint

Data integration

$3,000-$6,000/project

Mid-level to senior-level
  • Secure links to databases or external APIs
  • Automated data cleaning and transformation scripts
  • Verified data accuracy across all application views

Custom module development

$6,000-$9,500/project

Senior-level
  • Modular code structure for scalable application growth
  • Complex interactive components with custom JavaScript
  • Unit tests confirming reactive logic stability

Enterprise deployment

$9,500-$15,000/project

Expert-level
  • Configured Shiny Server or Posit Connect environment
  • User authentication and role-based access controls
  • Performance logs and automated error reporting setup

Frequently asked questions

Is hiring a Shiny specialist worth it?

For most businesses, yes: hiring a Shiny specialist is worthwhile. These developers build interactive web applications directly from R code without requiring separate front-end engineering. You gain custom data tools that update in real time as users change inputs. This approach saves time compared to building full-stack applications from scratch.

How do I evaluate Shiny specialist candidates?

Review their ability to wire reactive inputs to outputs so plots and tables rerender instantly when users change selections. Ask them to explain how they manage package dependencies and deploy apps using rsconnect or Shiny Server. A strong candidate shares a live web endpoint where you can test the interactivity yourself.

What is the difference between Shiny and standard web development?

Shiny lets R programmers build web apps using only R code instead of HTML, CSS, and JavaScript. This framework handles the server logic and user interface connections automatically through its reactive programming model.

Can a Shiny specialist deploy my app to a public URL?

Yes, they configure deployment targets like shinyapps.io or self-hosted Shiny Server instances. They prepare the application bundle and verify the web endpoint works for end users.