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Afternoon Data Analyst R Programming Jobs in Connecticut

Extract, clean and engineer data for readiness and accuracy * Interpret information, develop ... Proficiency in SQL, Python or R * Understanding of design and implementation practices within data ...

Extract, clean and engineer data for readiness and accuracy * Interpret information, develop ... Proficiency in SQL, Python or R * Understanding of design and implementation practices within data ...

It provides strategic business consulting, technology,engineering and outsourcing services to help ... Data Analyst Location: Milford, CT Duration: Fulltime/Permanent .Excellent customer facing skills ...

Data Analyst Pay Rate: $29-35/hour Locations: Windsor, CT 06120 Asheville, NC 28801 Area Codes: 860 ... One or more years of work experience in a customer facing role in an engineering or manufacturing ...

Business Data Analyst

Hartford, CT ยท Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an ... We use the latest DATA technologies, software engineering practices, Agile delivery framework, and ...

Sr. Data Analyst

Windsor, CT ยท On-site

$45 - $50/hr

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Job Title: Sr. Data Analyst Type: Contract Duration: 6+ months Location: Windsor, CT Rate: $45-50 ...

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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 the most commonly searched types of Data Analyst R Programming jobs in Connecticut? The most popular types of Data Analyst R Programming jobs in Connecticut are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Connecticut? For Afternoon Data Analyst R Programming jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Connecticut look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Connecticut are:
What cities in Connecticut are hiring for Afternoon Data Analyst R Programming jobs? Cities in Connecticut with the most Afternoon Data Analyst R Programming job openings:
Infographic showing various Afternoon Data Analyst R Programming job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 55% Full Time, 36% Part Time, 1% Temporary, 2% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution.
Business Data Analyst

Business Data Analyst

Software Guidance & Assistance

Hartford, CT โ€ข On-site

Other

Posted 19 days ago


Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Junior Business Data Analyst for a CONTRACT assignment with one of our premier Insurance clients, working a hybrid schedule in Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC
Our Clients Enterprise Data Office is currently looking for a Business Data Analyst to join the Corporate Data Services team. This role will be focused on providing business and data analysis support for several highly visible, business-critical applications.
This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).
In this role, you will be responsible for the following:
Applies functional knowledge and techniques necessary to draw out data and analytics business requirements completely and accurately from stakeholders. Performs requirements planning, monitoring and requirements management.
Independently performs data analysis, data discovery and data profiling using industry standard querying tools to support business requirements development that are complete, clear, unambiguous, well written and appropriate to audience.
Maintains Data mapping documents, and other Data Design artifacts that define business data requirements and transformation rules.
Act as liaison and advisor/consultant between the business and IT stakeholders.
Performs and aids functional testing
Structure and drive working and informational sessions that promote collaboration, synergy, and achieve desired outcomes.
Understands the scope of the project and helps resolve scope questions and issues related to own work.
Handles moderate level root cause analysis of business data issues and provides technical data guidance on issues
Helps resolve scope questions and issue
Leverage AI tools and techniques to streamline daily tasks such as data profiling, anomaly detection, and report generation within the data warehousing lifecycle.
Design and refine AI prompts to extract insights, automate documentation, and support decision-making across business and technical teams.
Translate business processes into AI requirements, ensuring that models and tools align with operational goals and stakeholder expectations.
Collaborate with data engineers and stakeholders to identify opportunities for AI-driven enhancements in ETL workflows, metadata management, and data quality monitoring.
Qualifications:
Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Bachelors degree and 3+ years of experience in business requirements and/or data analysis supporting the Insurance industry.
Proficient in industry standard querying tools (Snowflake, Toad, Toad for Data Analysts, SQL, SAS, R, Python, Hive, etc)
Experience designing and refining AI Prompts while translating business processes into AI requirements.
Experience working on data warehouse or reporting/analytic projects
Experience in industry standard querying tool
Experience working on Agile projects
Strong facilitation, requirements elicitation and data analysis skills
Connected with industry best practices
Proven ability to organize and manage multiple priorities in a timeline driven environment.
Presentation Skills
Focused on continuous improvements
Interpersonal and influencing skills
Effectively manages key stakeholders in a matrix environment
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.