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Afternoon Data Analyst R Programming Jobs in Boca Raton, FL

Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of the top ... Exposure to Python, R, automation tools, scripting, or ETL processes is a plus * Understanding of ...

Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of the top ... Exposure to Python, R, automation tools, scripting, or ETL processes is a plus * Understanding of ...

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... Partner with Data Engineering to: - define financial data requirements, - validate pipelines and ...

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial ... Partner with Data Engineering to: - define financial data requirements, - validate pipelines and ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide ... He/she utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools ...

Data Engineer

Davie, FL · On-site

$104K - $126K/yr

... in programming languages such as Python, R, and SQL. Experience with machine learning frameworks ... Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights. b.

Experience Required - 8+ Years We are looking for a Data Mining developer with strong analytical ... Hands-on experience with Python and/or R for data analysis and modeling. * Knowledge of data mining ...

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Afternoon Data Analyst R Programming information

See Boca Raton, FL salary details

$32.3K

$78.4K

$129.1K

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

As of Jun 20, 2026, the average yearly pay for afternoon data analyst r programming in Boca Raton, FL is $78,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,000.00 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Boca Raton, FL? For Afternoon Data Analyst R Programming jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Boca Raton, FL look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Afternoon Data Analyst R Programming jobs? Cities near Boca Raton, FL with the most Afternoon Data Analyst R Programming job openings:
Safety Data Analyst

Safety Data Analyst

Moss

Fort Lauderdale, FL

Full-time

Posted 29 days ago


Job description

COMPANY OVERVIEW

Moss is a national privately held construction firm providing innovative solutions resulting in award-winning projects. With regional offices across the United States, Moss focuses on construction management, solar EPC, and design-build. The company's diverse portfolio encompasses a wide range of sectors, including luxury high-rise residential, landmark mixed-use developments, hospitality, K-12 and higher education, justice, solar energy and battery storage, and sports. Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of the top 50 general contractors. Moss prides itself on a strong entrepreneurial culture that honors safety, quality, client engagement, and employee development. Its employees consistently rank Moss as one of the best places to work.

POSITION SCOPE AND ORGANIZATIONAL IMPACT

Moss' Data Analyst for Enterprise Safety group supports Moss's growing data and reporting needs by maintaining, enhancing, and optimizing existing reporting systems, dashboards, and data tools that support business operations and strategic decision making across the organization. This role is designed for an eager to learn junior analyst who is analytical, detail oriented, and motivated to grow technical and business intelligence skills in a fast-paced environment.

This role will focus on maintaining, supporting, troubleshooting, and enhancing existing reports, dashboards, and recurring data processes to ensure data integrity, usability, and operational continuity, while also developing new reports, building data tools, supporting process improvements, and contributing to special projects that enhance business visibility, efficiency, and operational performance.

This position will work cross-functionally with business leaders, operations teams, safety, fleet, finance, and technology stakeholders to deliver meaningful reporting solutions and actionable insights.

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES

  • Maintain, monitor, and troubleshoot existing dashboards, reports, and recurring data workflows

  • Ensure data accuracy, consistency, and integrity across reporting platforms

  • Identify reporting inefficiencies and recommend process improvements

  • Update existing reports based on changing business needs, operational metrics, and leadership requests

  • Assist in validating data sources, calculations, and reporting logic

  • Support users with report access, interpretation, and troubleshooting questions

  • Monitor automated reporting processes and resolve data refresh or workflow issues

  • Document report structures, data definitions, and reporting procedures for consistency and sustainability

  • Partner with internal teams to ensure reporting remains aligned with operational goals

  • Analyze trends, patterns, and anomalies in operational data and summarize finding for leadership

  • Translate raw data into clear, actionable business insights

  • Assist departments in defining meaningful metrics and success measurements

  • Support data quality initiatives by identifying incomplete, inconsistent, or inaccurate records

  • Develop new dashboards, scorecards, and analytical reports to support strategic initiatives

  • Build data models, reporting tools, and automated solutions that improve efficiency

  • Assist with ad hoc analysis requests and executive-level reporting needs

  • Participate in cross-functional projects involving data collection, reporting modernization, and business intelligence initiatives

  • Support data migration, cleanup, and system implementation projects

  • Research and recommend new tools, automation opportunities, and reporting enhancements

  • Assist in building scalable reporting solutions that can grow with the business

  • Identify repetitive manual reporting tasks and recommend automation opportunities

  • Assist in streamlining data collection, reporting workflows, and dashboard refresh processes

  • Support development of scalable reporting processes that reduce manual effort and increase accuracy

  • Participate in testing and validation of new reporting tools, automation, and system integrations

  • Perform other duties as assigned

EDUCATION AND WORK EXPERIENCE

  • Bachelor's degree in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Finance, or related field preferred

  • 2 to 4 years of experience in data analysis, reporting, business intelligence, or related analytical role

  • Strong proficiency in Microsoft Excel, including formulas, pivot tables, and data analysis functions

  • Experience with Power BI, Tableau, SQL, or similar reporting/visualization platforms preferred

  • Exposure to Python, R, automation tools, scripting, or ETL processes is a plus

  • Understanding of data structures, relational databases, and reporting logic

  • Experience developing dashboards, scorecards, KPI reporting, and business reporting solutions preferred

  • Strong analytical and problem-solving skills with attention to detail

  • Ability to organize information, manage priorities, and meet deadlines

  • Self-starter mindset with willingness to learn new systems, tools, and business processes

  • Positive attitude, strong work ethic, and desire for professional growth

  • Experience with Power BI, SQL, or Python for data analysis preferred

  • Familiarity with ERP, fleet, safety, operational, or construction-related data systems is a plus

  • Exposure to dashboard development and KPI scorecards, forecasting, and trend analysis

  • Experience working with cross-functional teams to define reporting requirements and develop business solutions

  • Interest in data automation, predictive analytics, or process optimization

  • Experience with Power Query, Power Pivot, DAX, or similar advanced analytic tools is highly desirable

JOB TITLE: DATA ANALYST - SAFETY

JOB LOCATION: FORT LAUDERDALE, FL, OPEN TO REMOTE

CLASSIFICATION: FULL TIME - EXEMPT - SALARIED

REPORTS TO: SAFETY MANAGER - DATA ANALYTICS AND REPORTING

Moss is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.