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Afternoon Data Analyst R Programming Jobs in Biddeford, ME

Unum UK

Manager, Data Engineering

Portland, ME · On-site

Experience with analytics programming languages, including SQL/Python, for data extraction, transformation, analysis, automation, and pipeline development. * Experience with modern BI toolsets ...

Northeastern University

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

NorthEastern

Data Scientist

Portland, ME

$87K - $123K/yr

The Data Scientist will contribute to data analysis, feature engineering, model development, evaluation, and documentation, while progressively gaining exposure to production systems, client-facing ...

Northeastern University

Data Scientist

Portland, ME · On-site

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Biddeford, ME

Afternoon Data Analyst R Programming information

See Biddeford, ME salary details

$35.6K

$86.5K

$142.4K

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

As of Sep 7, 2026, the average yearly pay for afternoon data analyst r programming in Biddeford, ME is $86,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $101,600.00 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 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 Biddeford, ME?

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

What job categories do people searching Afternoon Data Analyst R Programming jobs in Biddeford, ME look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Biddeford, ME are:

What cities near Biddeford, ME are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Biddeford, ME 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 Biddeford, ME as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $86,528 per year, or $41.6 per hour.

Advanced Analytics Analyst

ViziRecruiter,LLC.

Scarborough, ME • On-site

$100 - $125/hr

Other

Posted 6 days ago

Job description

Introduction

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Overview

The Advanced Analytics role will work collaboratively with the product managers, data visualization analysts, data scientists and the operational teams to develop predictive analytical solutions to detect demand trends and predict future outcomes. This position is part of a supply chain data team of reporting analysts, data integrity analysts, product managers and will work with key stakeholders to help prepare for AI practitioners developing novel approaches to personalization. Consult with our product managers and business stakeholders to create ML/AI solutions for their largest business challenges. This role will optimize models developed for deployment Research "future" state for supply chain and commercial along with how we can bring new innovative solutions into Ahold Delhaize.

Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Quincy, MA, and Scarborough, ME.

Applicants must be currently authorized to work in the United States on a full-time basis.

Responsibilities
  • Collaborate with IT to structure supply chain & commercial data in a way that will make it accessible for creating machine learning tools for supply chain & commercial. This will include working with IT to identify and leverage new technology to access data in such a way to facilitate analysis and insight development. This will require expertise in advanced statistical technologies necessary for synthesizing data into actionable business opportunities.
  • Work closely with product managers and IT engineers to sustainably scale and deploy supply chain products.
  • Participate in discussions with leadership about innovative approaches to analysis and the implications of different data, while building alignment on the results.
  • Research future states of processes or insights we can leverage to help our robust Supply Chain & commercial team.
  • Presenting new initiatives and tools to the stakeholders for review.
Requirements
  • 3-6 years' relevant experience.
  • Deep understanding of, and experience applying, the following ML concepts:
  • Database and SQL knowledge, Python, R, SAS.
  • Power BI.
  • Knowledge of model management.
  • Bachelor's Degree in computer science, business, economics, engineering, math, statistics, or other quantitatively oriented major; Master's Degree in similar quantitative field preferred.
Preferred Qualifications
  • Advanced capabilities in Microsoft Office; Mastery of Excel and PowerPoint; Expertise in Microsoft Azure, Power BI, Python, R, SAS, and SQL.
  • Significant experience with machine learning, predictive analytics, statistics, and structured problem solving.
  • Knowledge of approaches to work with big data, including querying databases and manipulating large sets of data to generate robust insights.
  • Ability to develop a structured approach to complex questions and quickly form a hypothesis against which to run test analyses. Knowledge of Spark, MLlib, PySpark, Scala.
  • Experience with Microsoft Azure stack, Hadoop, Hive clusters, Apache Spark, Databricks.

ME/NC/PA/SC Salary Range: $75,040 - $112,560

IL/MA/MD/NY Salary Range: $86,320 - $129,480

Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.

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