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Afternoon Data Analyst R Programming Jobs in Maine

Data Analyst

Augusta, ME · On-site

$62K/yr

The Data Analyst role is responsible for data management and analysis for MaineHousing and its ... Preferred • Demonstrated programming ability in SQL, R, or similar packages. • Experience with ...

Data Analyst

Augusta, ME · Hybrid

$62K/yr

The Data Analyst role is responsible for data management and analysis for MaineHousing and its ... Preferred Demonstrated programming ability in SQL, R, or similar packages. Experience with GIS ...

... analytic professional who strives to use data to guide programming, decision-making, and service ... Familiarity with R, SQL, and other coding software is strongly preferred. Familiarity with ...

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Afternoon Data Analyst R Programming information

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?

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 job categories do people searching Afternoon Data Analyst R Programming jobs in Maine look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Maine are:
Infographic showing various Afternoon Data Analyst R Programming job openings in Maine as of June 2026, with employment types broken down into 68% Full Time, 25% Part Time, and 7% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

$62K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago


Job description

Job Type
Full-time
Description
Primary Purpose: The Data Analyst role is responsible for data management and analysis for MaineHousing and its programs. The position will collect, analyze, and present data relevant to understanding housing needs, conditions, and trends in Maine, as well as the impact of MaineHousing programs. This position is responsible for internal and external requests for data, dashboard development and maintenance, compiling housing statistics, and assisting with program software adoption, program evaluation, and other research activities.
Core Functions:
Data Stewardship.
o Promote interdepartmental data literacy and appreciation by providing expertise and leadership to the Data Stewardship Team.
o Develop and improve systems for the collection and maintenance of data from all MaineHousing programs and activities.
o Support the development and ongoing improvement of comprehensive data governance procedures to support the quality, integrity, and security of all MaineHousing data.
o Develop and maintain a database of publicly available data (e.g. HUD, Census, Maine Revenue Service) and subscription data (e.g. MLS and Claritas data) to support MaineHousing's strategic interests.
o Facilitate interdepartmental integration of data, where possible.
Data Analysis
o Assist in the design and creation of new data methods and tools to track and assess affordable housing needs by region and target population.
o Provide basic technical assistance and analytical expertise to departments for data analysis, program monitoring, and performance measurement.
o Support department directors' efforts to identify cost effective and reliable methods for measuring client satisfaction, needs, and trends for their programs and products.
o Develop a working knowledge of programs and priorities to proactively develop, maintain, and interpret data that will advance MaineHousing's strategic interests.
o Flag significant changes in indicators and indices and assist in investigating the cause of such anomalous variation.
Data Coordination and Communication
o Work with department directors and the director's team to create at-a-glance views of key performance indicators relevant to individual programs or agency objectives.
o Manage regular updates to all data dashboards, indices, and maps.
o Develop and maintain process guides for collecting, updating, managing, and using data for all of PnR's ongoing internal and external uses.
o Respond to requests for programmatic and other housing data from state agencies, researchers, municipalities, and the public; provide context and interpretation, as appropriate.
o Collect and curate data needed for grant applications and MaineHousing reports.
o Support departmental process improvement initiatives with data expertise and insights.
o Work with the PnR Coordinator to analyze survey data collected in support of department and agency initiatives.
Other duties as assigned
Requirements
Education and Experience: Education, experience, and training, in any combination, relating to data science, statistics, economics, or a related field.
Skills and Knowledge:
Required
• Information gathering and analytical problem solving.
• Ability to organize and interpret complex data from multiple sources.
• Ability to present data using online tools such as Tableau and mapping applications.
• Strong PC skills using various software (spreadsheet, word processing, database).
• Ability to manage a fast-paced environment with shifting priorities across a range of work products with limited supervision.
• Organizational skills and ability to prioritize and manage multiple and varied tasks.
• Demonstrated skills in self-direction, attention to detail, and troubleshooting.
• Ability to establish and maintain good working relationships with internal and external business partners.
Preferred
• Demonstrated programming ability in SQL, R, or similar packages.
• Experience with GIS software (ArcGIS or similar).
Working Conditions: Fast paced environment with multiple priorities, interruptions & deadlines. A hybrid schedule may be considered, if appropriate, after 6 months employment.
Reports To: Director of Planning & Research Supervises: No one
The salary range for this position is $62,932 - $94,399. All new employees will start at $62,932, unless otherwise agreed to by MaineHousing. MaineHousing also offers a comprehensive benefits package, including, but not limited to, health, dental and vision, retirement options with employer match, life insurance, short and long-term disability, employee assistance, generous earned time and all major federal holidays. Employment is eligible for the Public Service Loan Forgiveness Program.
**Position will remain open until a suitable candidate is found**
Salary Description
62,932 per year