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Afternoon Data Analyst R Programming Jobs in Cayce, SC

Principal Data Engineer - CX Analytics

Columbia, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Principal Data Engineer to join the CX Analytics team within our Customer Experience Organization. In this role, you will lead the design and implementation of data solutions that ...

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

Managed Services - Senior Data Engineer - Manager

Columbia, SC · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineer - Manager, you will leverage data and analytics to provide strategic insights and drive ... Within our Data & Analytics practice, you will develop and implement innovative solutions to ...

Managed Services - Data, Analytics & AI - Manager

Columbia, SC · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... engineers for compliance - Driving development of reusable AI components - Leading Data & Analytics project delivery - Demonstrating experience with ITIL processes Travel Requirements Up to 60% Job ...

Data Scientist II - CX Analytics

Columbia, SC · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We are seeking a Data Scientist II to join the CX Analytics team within our Customer Experience ... Programming & Process automation: Experience with file I/O, database integrations, and APIs to ...

Data Architect

Columbia, SC

$59 - $75.75/hr

Facilitates consistent business analysis, data acquisition and access analysis and design, Database ... Sql Databases, .Net Programming, Nintex Workflow Designer Additional Information All your ...

Data/Information Architect

Blythewood, SC · On-site

$50.75 - $65.50/hr

... engineers, developers, architects, and business analysts to translate functional requirements into accurate data models. • Provide best practices related to data modeling, metadata management ...

Applied AI Health Data Architect-Senior Manager

Columbia, SC · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Health Services Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Benefit Files Analyst I

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsible for programming and / or auditing benefits within the Benefit Files and / or RULEs ... Responds promptly to quality results allowing for the appropriate updates, data analysis and / or ...

Project Operations Analyst

Columbia, SC · On-site

$95K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About Stratus Stratus ® is an integrated, multi-disciplinary engineering, architecture, interior ... Monitor project portfolio performance including margin variance, unbilled, and A/R, and partner ...

A typical day includes working with developers, lenders, state housing agencies, attorneys ... The ideal candidate enjoys solving complex financial problems, working with large amounts of data ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Cayce, SC salary details

$31.6K

$76.8K

$126.4K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 19, 2026, the average yearly pay for afternoon data analyst r programming in Cayce, SC is $76,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $90,100.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

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 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Cayce, SC?

For Afternoon Data Analyst R Programming jobs in Cayce, SC, the most frequently searched job titles are:

What cities near Cayce, SC are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Cayce, SC with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Cayce, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $76,800 per year, or $36.9 per hour.

Principal Data Engineer - CX Analytics

Unum UK

Columbia, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Job Posting End Date: August 15

When you join the team at Unum, you become part of an organization committed to helping you thrive.

Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life's moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:

  • Award-winning culture

  • Inclusion and diversity as a priority

  • Performance Based Incentive Plans

  • Competitive benefits package that includes: Health, Vision, Dental, Short & Long-Term Disability

  • Generous PTO (including paid time to volunteer!)

  • Up to 9.5% 401(k) employer contribution

  • Mental health support

  • Career advancement opportunities

  • Student loan repayment options

  • Tuition reimbursement

  • Flexible work environments

*All the benefits listed above are subject to the terms of their individual Plans.

And that's just the beginning...

With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you're directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!

General Summary:We are seeking a Principal Data Engineer to join the CX Analytics team within our Customer Experience Organization. In this role, you will lead the design and implementation of data solutions that enable BI/reporting and advanced analytics across the team, ensuring data is accessible, reliable, and structured for meaningful use across our team. You will build and maintain scalable data pipelines, develop and optimize data models, and integrate new data sources across the ecosystem, including both structured and unstructured data. A core focus of the role is enabling analytics through automation and advancing how we leverage AI-developing and supporting pipelines that incorporate unstructured data and LLM-based workflows to extract signal from sources such as raw text.
As a hands-on technical leader, you will define standards and best practices for data engineering while mentoring other engineers and partnering closely with BI Analysts and Data Scientists to support their work. You will help shape how data flows through the team, ensuring environments, pipelines, and datasets are built with quality, scalability, and usability in mind. The ideal candidate is a strong problem solver and collaborator who can work across technologies and data domains, guide technical direction, and consistently enable the team to deliver high-quality analytics that support better decision-making across the organization.
This is a campus-based role. Current remote and field-based Unum employees may apply and will be considered in accordance with company policy.

Principal Duties and Responsibilities

  • Proactively partner with the business to provide development, construction, testing, and maintenance of data pipelines that support the needs of the business.
  • Integrate large volume of highly complex data from different sources (including DB2, SQL Server, Web API and Teradata).
  • Apply validation, aggregation, and reconciliation techniques to create a rich data framework.
  • Work closely with the data scientists and business partners to understand the business problem they are trying to solve and the analytics solutions they plan to apply. Use this understanding to create appropriate data structures tailored for the specific problem.
  • Build and maintain best practices for team's data engineering strategy; as well as staying informed of best practices across industries and striving for innovation and efficiency.
  • Understand and contribute to the evolution of the enterprise data architecture including the application of current and emerging data frameworks and tools (eg hosting data in Cloud).
  • Efficiently prepares results for interpretation and/or visualization and communicates findings and potential value to influence strategic decision making.
  • Support integration of solutions within existing business processes using automation techniques.
  • Continuously research and build upon deep understand theory and application of current and emerging software and data engineering practices.
  • Provides support, training and/or mentorship to lower level Data Engineer peers.
  • Perform other related duties as assigned

Job Specifications

  • Bachelor's degree in quantitative field is required, Master's or PhD is preferred
  • 8 years of professional experience or equivalent relevant work experience preferred
  • Core Data Engineer Capabilities: Deep expertise in each of the following skillsets is preferred:
  • Software Engineering: Expertise in at least one relevant object-oriented programing language (i.e. Java/Scala, Python). Experience in DevOps best practice including CI/CD, process automation and optimization.
  • Data Architecture and Infrastructure: Good understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.
  • Holistic Data Preparation: The ability to understand and present data in the appropriate context, including a good understanding how the data will build towards a business solution.
  • Data Extraction, Transform & Load: Preferred skills include: Expertise in writing complex SQL queries that join multiple tables/databases. Independently explore databases/tables or other legacy data content to identify best data sources to solve business problems. Demonstrates ability to troubleshoot complex SQL queries with little guidance. Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data
  • Core business capabilities: Demonstrated communication skills, experience in financial services, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously. Demonstrated ability to understand and explain a problem and identify and communicate an appropriate solution.
  • Leadership Capabilities: Leader within their field, both internally and externally. Naturally effective coach and mentor, actively engages peers and team members, especially within areas of expertise. Viewed as a leader in change management. Maintains depth of technical understanding of third party/cloud solutions.
  • This position may have key leadership responsibilities, including:
  • People Management: Actively participates in determining staffing needs of the team, including hiring and development. Leads assigned team in the completion of requested activities and projects.
  • Engineering strategic and program management for their organization: Coaches, mentors, and helps build team. Proactively identifies and researches new approaches and skills needed for performing data science and advanced analytics.
  • Preferred characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Deep expertise in their organization. Demonstrates ability to conduct independent research and development of techniques that may be shared internally and externally.

#LI-TO1

#LI-MULTI

~IN4

Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.

Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.

The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.

$109,100.00-$224,000.00

Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short & long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.

Company:

Unum