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Assistant R Shiny Jobs in Chicago, IL (NOW HIRING)

Samprasoft

Data Analyst - Inter

Chicago, IL · On-site

... * Assist in development of standards and policies for business intelligence frameworks Data ... Experience with Python, SQL, Unix/Linux, Databricks, Tableau, R Shiny and Github * Experience with ...

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Assistant R Shiny information

What is the difference between Assistant R Shiny vs Data Analyst?

AspectAssistant R ShinyData Analyst
Required skillsProficiency in R, Shiny, basic data visualizationData analysis, statistical skills, data visualization
Work environmentDeveloping interactive dashboards, supporting data projectsInterpreting data, generating reports, business insights
Common industry usageTech, research, healthcare, financeBusiness, marketing, finance, healthcare

Assistant R Shiny roles focus on developing interactive web applications using R and Shiny, often requiring programming skills. Data Analysts interpret data, create reports, and provide insights, with broader statistical expertise. While both roles work with data, Assistant R Shiny positions emphasize application development, whereas Data Analysts focus on data interpretation and reporting.

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Data Analyst - Inter

Data Analyst - Inter

Samprasoft

Chicago, IL • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Analyst

As a Data Analyst you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.

On any given day you may be challenged on three types of work - Innovation, Data Management and Business Intelligence:

Innovation:

  • Act as key data lead to leverage versatile technical capabilities to drive the development, evolution, and implementation of data products, which enable self-service by data consumers
  • Re-engineer data processes and migrate the processes from on-premises to Amazon Web Services
  • Explore industry trends, tools, and techniques in Open Source/Big Data/Digital domain
  • Business Intelligence:
  • Execute and monitor data processes that deliver critical data to partners and regulators
  • Develop prototypes and implement new business intelligence tools, solutions, and techniques
  • Assist in development of standards and policies for business intelligence frameworks

Data Management:

  • Evaluate data management, data quality and data access processes for gaps, inefficiencies and opportunities; provide recommendations for improvement
  • Implement solutions and processes for management and governance across data quality metrics, metadata, lineage, data access rights, and business definitions
  • Develop data mapping to enable data end users to more easily transition to using new systems

Our ideal candidate will have:

  • Degree specialized in a Science, Technology, Engineering, or Mathematics discipline
  • Experience with Python, SQL, Unix/Linux, Databricks, Tableau, R Shiny and Github
  • Experience with Amazon Web Services products, such as EC2, S3, QuickSight, and Snowflake

Basic Qualifications:

  • Bachelors Degree
  • At least 1 year of experience in at least one scripting language
  • At least 1 year of experience in querying, analyzing, and working with data languages and platforms

Preferred Qualifications:

  • Masters Degree in a Science, Technology, Engineering, or Mathematics discipline
  • 1+ years experience working BI reporting tools (i.e. Tableau or R Shiny)
  • 1+ years of experience working within process management and improvement methodologies - Lean, Six Sigma, etc)
  • 1+ years of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools (i.e.

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