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Afternoon Data Analyst R Programming Jobs in Orlando, FL

Red Lobster

Manager, Data Analytics & BI

Orlando, FL · On-site

This role is responsible for driving enterprise reporting, advancing data engineering practices, and building a scalable analytics ecosystem that supports data-driven decision making across the ...

Red Lobster

Manager, Data Analytics & BI

Orlando, FL · On-site

This role is responsible for driving enterprise reporting, advancing data engineering practices, and building a scalable analytics ecosystem that supports data-driven decision making across the ...

Universal Creative

Lead Data Engineer

Orlando, FL

$106K - $128K/yr

Work with business, developers, analysts, architecture and product owners to develop data ... R-Studio, Jupyter, Zeppelin, Tableau or DsX) * Experience interacting with Kafka and API/Service ...

Genius Business Solutions

SAP Data Lead

Orlando, FL · On-site

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

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML). • Programming: Expert-level skills in SQL, Python, and R. • Automation & Apps: Experience with ...

Truist

Analytics Data Engineer III

Orlando, FL · On-site

... programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner ... Analytics, Data Science, Computer Science, or Engineering. 2. 10+ years of experience in a ...

The Walt Disney Company

Sr Data Engineer

Orlando, FL

$135K - $181K/yr

The Senior Data Engineer designs and maintains curated datasets and data products that support reporting, analytics, machine learning, and operational decision-making. The ideal candidate applies ...

Hylant

Lead Data & Analytics Architect

Orlando, FL · On-site

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 ...

Addison-HVAC

R&D Lab Technician

Orlando, FL

Accurately collect, review, and analyze test data. Prepare comprehensive reports detailing tests conducted and communicate results clearly to the R amp;D, Engineering, and Innovation teams.

Kalera

Data Warehouse Engineer

Orlando, FL

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

Kalera

Data Warehouse Engineer

Orlando, FL · On-site

The Data Warehouse Engineer role is to develop and maintain reporting and analysis databases using SQL, A/L, MS Synapse, and PowerBI ensuring high levels of data accessibility and availability. They ...

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

Afternoon Data Analyst R Programming information

See Orlando, FL salary details

$31.7K

$77.1K

$127K

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

As of Jul 16, 2026, the average yearly pay for afternoon data analyst r programming in Orlando, FL is $77,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,600.00 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.

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 Orlando, FL? The most popular types of Data Analyst R Programming jobs in Orlando, FL are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Orlando, FL? For Afternoon Data Analyst R Programming jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Orlando, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Orlando, 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 Orlando, FL as of July 2026, with employment types broken down into 33% Internship, 33% Full Time, and 34% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $77,146 per year, or $37.1 per hour.
Manager, Data Analytics & BI

Manager, Data Analytics & BI

Red Lobster

Orlando, FL • On-site

Full-time

Posted 16 days ago

Red Lobster rating

5.9

Company rating: 5.9 out of 10

Based on 261 frontline employees who took The Breakroom Quiz

45th of 86 rated restaurants

Job description

Overview
SUMMARY / OVERALL PURPOSE
We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner while remaining hands-on in delivering impactful data solutions.
This role operates in a player-coach capacity, with an expected allocation of approximately 80% leadership, stakeholder engagement, delivery accountability, and team management and 20% hands-on contribution. The individual should be comfortable flexing into deeper hands-on involvement as business needs evolve, particularly in periods of transformation, critical delivery, or team capacity constraints. This role is responsible for driving enterprise reporting, advancing data engineering practices, and building a scalable analytics ecosystem that supports data-driven decision making across the business.
This role is not intended for candidates seeking a primarily hands-on development position, nor for leaders who are fully removed from technical execution.
This leader will oversee the design, development, and delivery of analytics and reporting solutions leveraging platforms such as Informatica IDMC, MicroStrategy, Power BI, and Oracle databases, while mentoring and developing a multidisciplinary team of architects and engineers.
ESSENTIAL/PRIMARY DUTIES, FUNCTIONS, AND RESPONSIBILITIES
  • Leadership & Team Development
    • Lead, mentor, and grow a high-performing analytics and BI team across reporting, data engineering, and visualization disciplines
    • Operate as a player-coach, balancing strategic leadership with hands-on contribution to critical initiatives
    • Establish team standards, best practices, and governance across analytics, reporting, and data pipelines
    • Foster a culture of accountability, continuous improvement, and business partnership
  • Analytics & Reporting Delivery
    • Oversee the development and delivery of enterprise reporting and dashboards using Power BI and MicroStrategy
    • Standardize metrics, definitions, and reporting frameworks to ensure consistency and trust in data
    • Ensure reporting solutions are scalable, accurate, and aligned to business KPIs
    • Drive adoption of self-service analytics capabilities across the organization
  • Data Engineering & Architecture
    • Provide technical leadership in building and optimizing data pipelines and integrations using Informatica IDMC
    • Oversee data modeling, transformation, and data quality processes within an Oracle-based data environment
    • Identify opportunities to drive efficiency through automation, standardization, and reusable data assets
    • Partner with architecture and IT teams to evolve modern data platforms and cloud strategies
    • Ensure strong data governance, lineage, and performance optimization practices
  • Strategy & Execution
    • Define and execute a roadmap for analytics modernization, including tools, platforms, and operating model
    • Align analytics initiatives with business priorities and ROI outcomes
    • Drive efficiencies through automation, standardization, and reusable data assets
    • Manage vendor relationships and tool optimization across BI and data platforms
  • Business Partnership & Strategic Influence
    • Lead the evolution of the analytics function from request-driven reporting to proactive business enablement, identifying opportunities, surfacing insights, and influencing decisions ahead of demand
    • Act as a strategic thought partner to business leaders, leveraging data to challenge assumptions, prioritize initiatives, and drive measurable outcomes
    • Establish a culture of ownership and curiosity, where the team actively seeks out "low-hanging fruit" and high-impact opportunities rather than waiting for intake

JOB REQUIREMENTS (SKILLS & EXPERIENCE)
  • 7+ years of experience in data analytics, BI reporting, or data engineering, with 2-4+ years in a leadership role
  • Proven experience in a player-coach capacity, balancing leadership and hands-on technical delivery
  • Strong expertise with:
    • Power BI (data modeling, DAX, dashboard development)
    • MicroStrategy (enterprise reporting and semantic layer design)
    • Informatica Intelligent Data Management Cloud (IDMC)
    • Oracle databases (SQL, performance tuning, data structures)
  • Familiarity with Python for data integration, automation, and analytics use cases, including API-driven workflows and potential expansion into advanced analytics
  • Familiarity with designing and evolving modern data architectures (such as lakehouse) and implementing near real-time data flows to support scalable, flexible analytics and advanced data use cases
    • Understanding data architecture and engineering practices that support AI/ML
  • Experience building and scaling data and analytics teams
  • Strong understanding of data warehousing, ETL/ELT processes, and data architecture principles
  • Ability to translate complex data into clear business insights and executive-level storytelling

PREFERRED QUALIFICATIONS
  • Experience in restaurant, retail, hospitality, or multi-unit operations environments
  • Exposure to cloud data platforms (e.g., Snowflake, Azure, AWS)
  • Familiarity with real-time or near-real-time data processing
  • Experience implementing data governance frameworks and data quality tools
  • Background supporting finance, operations, or customer analytics use cases

LEADERSHIP COMPETENCIES
  • Strong business decision-making mindset with ability to balance speed, quality, and cost
  • Excellent communication and stakeholder management skills
  • Ability to operate effectively in fast-paced, evolving environments
  • Demonstrated success building trusted partnerships across business and technology teams

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