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Afternoon Data Analyst R Programming Jobs in Rhode Island

Paradigminfotech

Data analyst

Warwick, RI

Data Analyst position onsite in Warwick, RI on a 6 month contract. The Data Analyst position ... Use healthcare industry knowledge and analytical programming skills to develop and upgrade reports ...

Brown University

Lead Data Analyst

Providence, RI · On-site

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Experience in Stata required, SAS or R preferred. * Ability to work well both independently and ...

Kforce Technology Staffing

Data Analyst

Smithfield, RI · On-site

Analyzing the client source data to identify issues, potential causes, and suggested remediation ... Should have proven general experience programming languages and relational databases * Excellent ...

Bally's Corporation

Lead Data Analyst

Providence, RI · On-site +1

$100K - $140K/yr

Analyze audience behavior and content performance across leagues, teams, matchups, and programming to uncover trends and performance drivers * Turn data into clear insights and recommendations that ...

Mastech Digital

Systems/Data Analyst

Smithfield, RI · On-site

$55 - $60/hr

S. in Computer Science, Engineering, Mathematics, or equivalent experience. - 5+ years of Systems and Data Analysis experience within the IT field, financial services preferred. - Strong experience ...

Varsity Tutors

Data Science Tutor

Providence, RI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Citizens

Experiential Marketing Sr Data Analyst

Johnston, RI · On-site +1

$104K - $138K/yr

... Engineering, or Physical Sciences) * 5+ years of professional experience in analytics, plus 1+ year ... Experience with data querying, validation/testing, dataset generation, and building repeatable ...

Citizens

Experiential Marketing Sr Data Analyst

Johnston, RI · On-site +1

$104K - $138K/yr

... Engineering, or Physical Sciences) * 5+ years of professional experience in analytics, plus 1+ year ... Experience with data querying, validation/testing, dataset generation, and building repeatable ...

Citizens

Experiential Marketing Sr Data Analyst

Johnston, RI · On-site +1

$104K - $138K/yr

... Engineering, or Physical Sciences) * 5+ years of professional experience in analytics, plus 1+ year ... Experience with data querying, validation/testing, dataset generation, and building repeatable ...

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Afternoon Data Analyst R Programming information

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Rhode Island? For Afternoon Data Analyst R Programming jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Rhode Island look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Rhode Island are:
What cities in Rhode Island are hiring for Afternoon Data Analyst R Programming jobs? Cities in Rhode Island with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Data analyst

Paradigminfotech

Warwick, RI

Other

Re-posted 3 days ago

Job description

Company Description

Paradigm Infotech. Inc is a global IT solutions provider focused on delivering customer value through high Quality Processes and Cost-efficient solutions. Paradigm has been one of the trendsetters in global delivery practices with our Client-Centric Model for customer management and delivery.

Job Description

Data Analyst position onsite in Warwick, RI on a 6 month contract. The Data Analyst position requires strong data and analytics experience, with utilization of data for statistical and policy analysis.     



Qualifications

Responsibilities:


Gather, compile, validate, and analyze healthcare data within the Data Warehouse to support client management of the RI Medicaid program. 


Provide ongoing support of data collection and analysis to assist external and internal clients. 


Use healthcare industry knowledge and analytical programming skills to develop and upgrade reports and/or reporting/analysis tools for client product offerings.


Develop Proof of Concept (POC) prototypes using Business Objects, Design Studio and navigate presentation to the client, incorporating client feedback. 


Required Skills: 


Solid technical skills with a proficiency in using a variety of data extraction tools (SQL, Business Objects, TOAD, Excelsius, Design Studios, SAS) including the development of dashboards and advanced analytics reporting. 


Analyze business and technical requirements for a variety of Healthcare Reporting deliverables (financial, eligibility, claims, other). 


Troubleshoot complex healthcare data questions and facilitate effective and efficient resolution to inquiries. 


Solid knowledge and experience in understanding DW logical mapping, data model and business requirements to create client deliverables (i.e. reports, data summarizations, documentation, design documents, other). S2T mapping analysis a plus. 

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