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Afternoon Data Analyst R Programming Jobs in Rhode Island

Citizens Bank

Data Management Specialist

Johnston, RI · On-site

The role will work closely with business stakeholders, data product owners, data engineers, analytics teams, architects, governance teams, and AI practitioners to ensure data products are reusable ...

Citizens

Data Management Specialist

Johnston, RI

The role will work closely with business stakeholders, data product owners, data engineers, analytics teams, architects, governance teams, and AI practitioners to ensure data products are reusable ...

CVS Health

Data Scientist

Woonsocket, RI · On-site +1

$98K - $158K/yr

Data Scientist to develop and implement analytics applications and models to transform data into ... Machine learning, statistical analysis, and predictive modeling;Programming in R, Hadoop, or Python;

CVS Health

Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

Contributing to largescale applications development, data science, or data analytics projects; Programming in Python or R; Developing backend services, performing code reviews, and collaborating with ...

CVS Health

Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

Contributing to largescale applications development, data science, or data analytics projects; Programming in Python or R; Developing backend services, performing code reviews, and collaborating with ...

CVS Health

Sr. Data Scientist

Woonsocket, RI · On-site +1

$203K/yr

Duties include: design and develop data solutions using industry leading tools, technologies and ... Statistical analysis and predictive modeling; Programming in R, Hadoop, or Python; SAS and SQL ...

CVS Health

Sr. Data Scientist

Woonsocket, RI · On-site +1

$203K/yr

... analysis and predictive modeling; • Programming in R, Hadoop, or Python; • SAS and SQL ... data lineage, monitoring, model hosting and deployment, scalability and orchestration; and • ...

Freedman HealthCare LLC

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

The Data Engineer I supports healthcare analytics and data engineering projects through development of SQL workflows, reporting solutions, data transformations, and analytic datasets. This is a ...

CVS Health

Sr. Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

... analytics applications and models to transform data into meaningful information. Duties include ... CI/CD, Jenkins, GIT, or DevOps; Programming in Java, Python, or R; XML, JSON, HTML, CSS, or ...

CVS Health

Sr. Data Scientist

Woonsocket, RI · On-site +1

$98K - $185K/yr

... analytics applications and models to transform data into meaningful information. Duties include ... CI/CD, Jenkins, GIT, or DevOps; Programming in Java, Python, or R; XML, JSON, HTML, CSS, or ...

CVS Health

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

... analytic processing that improve existing systems and expand capabilities; collaborate with Data ... CI/CD, Jenkins, GIT, or DevOps; Java, Python, or R; Agile methodologies or SAFe Software ...

CVS Health

Data Engineer

Woonsocket, RI · On-site +1

$130K - $144K/yr

... analytic processing that improve existing systems and expand capabilities; collaborate with Data ... CI/CD, Jenkins, GIT, or DevOps; Java, Python, or R; Agile methodologies or SAFe Software ...

CVS Health

Sr. Data Scientist

Woonsocket, RI · On-site +1

$98K - $166K/yr

Programming in R, Hadoop, or Python SAS or SQL programming languages; Visualization tools, including PowerBI or Tableau; Data analytics on large data sets in healthcare, business, or retail sector;

CVS Health

Sr. Data Scientist

Woonsocket, RI · On-site +1

$101K - $203K/yr

... to explore, analyze, and interpret large volumes of data in various forms and solve complex ... JIRA, Rally or Confluence;Programming in R, Hadoop, or Python;SQL;Developing and deploying ...

CVS Health

Sr. Data Scientist

Woonsocket, RI · On-site +1

$98K - $166K/yr

Programming in R, Hadoop, or Python SAS or SQL programming languages; Visualization tools, including PowerBI or Tableau; Data analytics on large data sets in healthcare, business, or retail sector;

CVS Health

Sr. Data Engineer

Woonsocket, RI · On-site +1

$130K - $185K/yr

... analytic processing that improve existing systems and expand capabilities; collaborate with Data ... Programming in Java, Python, or R;SAS or SQL programming languages;Databases: Oracle, Teradata, or ...

CVS Health

Principal Data Scientist

Woonsocket, RI · On-site +1

$144K - $288K/yr

R, Python, or SQL; SAS or SQL programming languages; Visualization tools, including PowerBI or Tableau; Designing data models and solutions for analytical and reporting use cases; and Machine ...

CVS Health

Principal Data Scientist

Woonsocket, RI · On-site +1

$288K/yr

R, Python, or SQL;SAS or SQL programming languages;Visualization tools, including PowerBI or Tableau;Designing data models and solutions for analytical and reporting use cases; andMachine learning ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Rhode Island

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 Management Specialist

Data Management Specialist

Citizens Bank

Johnston, RI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description


Job Description / Job Posting / Locations: Westwood, MA and Johnston, RI
Enterprise Data and Analytics is seeking a Junior Business Data Analyst to support the design, development, and continuous improvement of operational, analytical and AI-ready data solutions and data products. This role is ideal for an early-career professional who understands foundational data management, business analysis, semantic modeling, and AI-ready data concepts, and the characteristics of high-quality data required to support analytics and AI at scale.
The analyst will participate across the full data product development lifecycle - from business discovery and requirement definition through semantic model design, testing, governance alignment, release, adoption, and continuous improvement. The role will work closely with business stakeholders, data product owners, data engineers, analytics teams, architects, governance teams, and AI practitioners to ensure data products are reusable, trusted, scalable, and aligned to business outcomes.
This role also requires comfort using AI-assisted tools to accelerate product design, business analysis, metadata development, documentation, insight generation, and analytical exploration.
Primary responsibilities include:
  • Support the design and delivery of data products that enable reporting, analytics, operational insights, and AI/ML use cases.
  • Participate in the end-to-end data product lifecycle, including discovery, requirements gathering, design, development support, testing, deployment, and ongoing enhancement.
  • Work with stakeholders to understand business goals, decisions, and processes that the data product must support. Assist in defining data product use cases, business rules, success measures, and consumption patterns.
  • Translate business needs into clear data, reporting, and analytical requirements.
  • Contribute to the creation of AI-ready datasets by making sure data are structured, standardized, documented, and fit for downstream analytics and AI use.
  • Help define the data product taxonomy and ontology, and identify key entities, relationships, hierarchies, dimensions, attributes, and metrics needed to support semantic and analytical models.
  • Contribute to logical data modeling and analytical model documentation. Help align data structures to domain concepts and business terminology.
  • Assist in defining and documenting semantic models that make data easier for business users, analysts, and AI solutions to understand and consume. Work with technical teams to ensure semantic layers reflect business logic accurately and consistently.
  • Analyze data sources and prepare source-to-target mapping documents and functional specifications for data and BI engineers to build ETL jobs, APIs and reports.
  • Perform data quality and gap analysis and support root cause identification and remediation tracking. Define data quality rules for ongoing monitoring.
  • Support test case development and user acceptance testing for data products, reports, and semantic models. Validate outputs against business requirements and expected results.
  • Coordinate code deployment /configuration changes to upper environments. Follow change management stipulations for production implementation and strictly adhere to the compliance and regulatory requirements.
  • Support efforts to improve data quality, completeness, consistency, and usability for operational, analytical and AI applications.
  • Partner with the Data Governance team in efforts related to data cataloging, business glossary, and metadata management.
  • Create data lineage maps and data transfer control requirements documentation and assist the data engineers with data transfer control implementation and testing.
  • Collaborate with stakeholders to gather all necessary details for documenting the Data Product Charters, User Guides, SLAs and to publish the data products in the enterprise Data Marketplace.
  • Help monitor adoption, usability, and feedback on delivered data products.
  • Prepare clear documentation, presentations, and status updates for stakeholders.
  • Innovate by leveraging agile techniques to achieve efficiency, improve processes and continuously boost productivity.

Required Skills/Experience:
Core Knowledge
  • Foundational understanding of data management principles, including data quality, metadata, lineage, governance, and data lifecycle concepts.
  • Advanced knowledge of with AI-ready data concepts such as data standardization, feature usability, data consistency, explainability support, and trustworthy data inputs for AI/ML.
  • Familiarity with semantic models, knowledge graphs, business-friendly data structures, dimensions, measures, hierarchies, and KPI definitions.
  • Basic understanding of the data product mindset, including designing reusable, consumable, and value-driven data assets.
  • Knowledge of how data supports BI, analytics, and AI use cases.
  • Strong analytical and problem-solving skills with the ability to interpret business needs and translate them into data requirements.
  • Experience working with SQL for querying and validating data.
  • Familiarity with data visualization and BI tools such as Power BI, Tableau, or similar platforms.
  • Exposure to data modeling, data mapping, relational databases, and no-SQL databases.
  • Solid understanding of data structures, normalization, joins, transformations, and source-to-target data flows.
  • Awareness of cloud data platforms, modern data architectures, or lakehouse/warehouse concepts is a plus. Experience with AWS cloud native services such as S3, Redshift, Glue, Athena, Sagemaker, etc. is a plus.
  • Familiarity with Python, Excel, or data analysis tools and techniques is a plus.
  • Experience with using AI data analysis and productivity tools.
  • Strong written and verbal communication skills.
  • Ability to document requirements, data definitions, mappings, and process flows clearly and accurately.
  • Comfortable working with both business and technical teams.
  • Strong attention to detail and commitment to data accuracy and consistency.
  • Ability to manage multiple tasks and work in a structured, organized manner.
  • Eagerness to learn and grow in data products, analytics, and AI-enabled data capabilities.
  • Experience with Agile development.

Technical & Analytical Skills
Business & Communication Skills
Education, Certifications, and/or Other Professional Credentials:
  • Bachelor's degree in Business Analytics, Information Management, Data Analytics, Computer Science, or a related field.
  • 0-3 years of experience in business analysis, data analysis, data management, semantic modeling, reporting, or analytics.
  • Internship, academic project, or early-career experience in data, reporting, or business intelligence.
  • Banking experience preferred.

Hours and Work Schedule
  • Hours per Week: 40
  • Work Schedule: Monday through Friday 8:30AM - 5:00PM
  • Location: Westwood, MA or Johnston, RI

PayTransparency
The salary range for this position is $80,000 to $110,000 a year, plus an opportunity to earn additional incentive earnings (if applicable). Actual pay is based on various factors including, but not limited to, the budget, work location, and relevant skills and experience.
We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .
About Us
Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Equal Employment and Opportunity Employer
Job Applicant Data Privacy Policy
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

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