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Afternoon Data Analyst R Programming Jobs in Rockledge, FL

Truist

Fraud Data Scientist II

Orlando, FL · On-site

... R, etc.) to create predictive analytics applications. 6. Use, maintain, share and collaborate ... or Engineering, or equivalent education and related training 2. Exhibit understanding of ...

Hylant

Lead Data & Analytics Architect

Orlando, FL

The position serves as a technical authority and strategic partner across data engineering, analytics, and business teams. This role will be measured by its contribution to business outcomes such as ...

Genius Business Solutions

SAP Data Lead

Orlando, FL

... Strong analytical, troubleshooting, and problem-solving skills Excellent communication and ... Bachelor s degree in Information Systems, Engineering, Computer Science, Business Administration ...

Pwc

Data Engineer - Senior Associate

Orlando, FL

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Manager

Orlando, FL

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

USM

Data Scientist-----Need GC and USC

Orlando, FL

Data Scientist. Orlando, FL Full Time Position Need GC and USC This person will be responsible for ... Proficient in analytical and programming skills including SQL, Advanced Excel and SPSS or R.

Pwc

Data Engineer - Senior Manager

Orlando, FL

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Orlando, FL · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

DPR Construction

Data Engineering Lead- Finance

Orlando, FL

$106K - $128K/yr

Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Collaborate with platform and architecture teams to align with best practices ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Rockledge, FL

Afternoon Data Analyst R Programming information

See Rockledge, FL salary details

$29.7K

$72.1K

$118.6K

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

As of Jun 10, 2026, the average yearly pay for afternoon data analyst r programming in Rockledge, FL is $72,080.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,600.00 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 cities near Rockledge, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Rockledge, FL with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Rockledge, FL as of June 2026, with employment types broken down into 52% Full Time, 32% Part Time, 5% Temporary, 8% Contract, and 3% Nights. Highlights an 80% Physical, 9% Hybrid, and 11% Remote job distribution, with an average salary of $72,080 per year, or $34.7 per hour.
Lead Data Scientist, Technology

Lead Data Scientist, Technology

Signature Aviation

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Signature Aviation rating

6.8

Company rating: 6.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

25th of 52 rated aviation services

Job description

Job Description
The Lead Data Scientist is responsible for designing, developing, and deploying production-ready data science and machine learning solutions that drive measurable business outcomes. This role operates as a senior individual contributor and technical lead, partnering closely with business, data, engineering, and platform teams to translate complex problems into scalable analytical solutions.
The position owns the full lifecycle of modeling initiatives, from problem definition and model development through deployment, monitoring, and continuous improvement. This role also helps establish standards, best practices, and repeatable patterns to mature enterprise data science capabilities.
Responsibilities
  • Design and develop statistical, machine learning, forecasting, and optimization models
  • Apply techniques such as regression, classification, clustering, time series, and anomaly detection
  • Translate business problems into scalable analytical approaches and measurable outcomes
  • Evaluate model performance, accuracy, stability, and business impact
  • Lead models from concept through production deployment and ongoing optimization
  • Partner with engineering teams to operationalize models into applications and workflows
  • Define and support model lifecycle processes, including versioning, monitoring, and retraining
  • Build reusable, maintainable, and well-documented modeling pipelines
  • Monitor model performance, drift, and usage; troubleshoot production issues as needed
  • Collaborate with stakeholders to define objectives, constraints, and success metrics
  • Identify and prioritize high-value data science opportunities
  • Communicate results, assumptions, risks, and recommendations clearly to technical and non-technical audiences
  • Support adoption by ensuring outputs are actionable, interpretable, and aligned to business needs
  • Perform exploratory data analysis to identify patterns and opportunities
  • Assess data quality, completeness, and suitability for modeling
  • Design and validate features that improve model performance
  • Partner with data teams to enhance analytical datasets and reusable data products
  • Apply and promote best practices for reproducibility, model governance, and responsible AI
  • Ensure alignment with enterprise standards for security, privacy, and compliance
  • Mentor data scientists and analysts on modeling techniques and production readiness
  • Lead technical and model reviews and contribute to data science standards and frameworks

Additional knowledge and skills:
  • Experience with machine learning and statistical libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
  • Familiarity with modern data platforms (e.g., Databricks, Snowflake, BigQuery)
  • Experience with cloud environments (AWS, Azure, or GCP)
  • Understanding of MLOps practices (model versioning, CI/CD, monitoring, lifecycle management)
  • Experience building reusable modeling pipelines or scalable data science solutions
  • Familiarity with tools such as MLflow, Git, and workflow orchestration platforms
  • Exposure to model governance and responsible AI practices
  • Experience with forecasting, optimization, pricing, or operational analytics is a plus
  • Exposure to generative AI or LLM-based solutions is a plus
  • Experience working in enterprise or matrixed environments is a plus

Qualifications
  • 7+ years of experience in data science, machine learning, statistics, or a related field
  • Advanced degree in a quantitative field (preferred)
  • Proven experience developing and deploying models in production environments
  • Experience leading complex analytical initiatives from problem definition through adoption
  • Strong proficiency in Python and/or R for modeling and production-quality code
  • Strong SQL skills for data exploration and dataset development
  • Experience working in cross-functional environments (engineering, analytics, business teams)
  • Ability to communicate complex concepts to non-technical stakeholders

About Us
With more than 225 locations worldwide, Signature Aviation is the largest global network of private aviation terminals, delivering safe, convenient, and elevated experiences to those we serve. As a premier hospitality organization and a certified Great Place to Work™, we are committed to redefining private air travel. Our nearly 6,000-strong team of aviation experts and enthusiasts is dedicated to delivering excellence to our guests and communities, and it starts with taking care of our team. Signature provides a variety of benefits, programs, and resources to support our team members' overall well-being and professional development. We proudly volunteer and give back, focusing on elevating the neighborhoods where we operate, empowering the next generation of aviation professionals, and supporting our veterans.
From your health to your financial wellness, there are several benefits for you and your family when joining Signature Aviation.
Our Benefits:
  • Medical/prescription drug, dental, and vision Insurance
  • Health Savings Account
  • Flexible Spending Accounts
  • Life Insurance
  • Disability Insurance
  • 401(k)
  • Critical Illness, Hospital Indemnity and Accident Insurance
  • Identity Theft and Legal Services
  • Paid time off
  • Paid Maternity Leave
  • Tuition reimbursement
  • Training and Development
  • Employee Assistance Program (EAP) & Perks

Qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, or other protected characteristics.

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