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Afternoon Data Analyst R Programming Jobs in Southbridge, MA

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Lead Data Scientist

Northborough, MA · Hybrid

$153K - $180K/yr

We are hiring two people for this role, one more oriented towards data science and one more oriented towards data engineering. Both roles will have a heavy focus on data, BI, and advanced analytics ...

Data Engineer III (Platform)

Webster, MA · On-site

$118K - $142K/yr

... data platforms and analytical products, along with API development for data access ... • Mentor junior developers and team members. • Implement scalable and flexible, high ...

Focus on practical applications of data collection and analysis * Execute data profiling, report & data generation, relational data modeling design, data management & documentation * Implement new ...

Focus on practical applications of data collection and analysis * Execute data profiling, report & data generation, relational data modeling design, data management & documentation * Implement new ...

Systems Analyst

Smithfield, RI · On-site

$65 - $70/hr

... data analysis, mapping, flowcharts, use cases, story writing, configuration, gap analysis, UAT, and documentation. * Strong SQL skills and general programming knowledge. * Proven experience with REST ...

Data Engineer III (Platform)

Webster, MA · On-site

$100K - $160K/yr

The Data Engineer is responsible for designing, developing, and optimizing data pipelines and backend services that power MAPFRE USA's data platforms and analytical products. This role extends ...

Showing results 41-60

Afternoon Data Analyst R Programming information

See Southbridge, MA salary details

$35.2K

$85.6K

$140.9K

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

As of Sep 15, 2026, the average yearly pay for afternoon data analyst r programming in Southbridge, MA is $85,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $100,500.00 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 Southbridge, MA?

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

What cities near Southbridge, MA are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Southbridge, MA with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Southbridge, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $85,617 per year, or $41.2 per hour.

Principal Pricing Data Engineer

Milford, MA • On-site

Waters Corporation
Biotechnology Research and Development • 5 - 10K employees

$125K - $150K/yr

Full-time

Re-posted 14 hours ago


Job description

Overview

Transformation at Waters Corporation is driving the next phase of enterprise evolution. Our mission is to accelerate integration, execution, and value capture while transforming the capabilities that power our business. As part of our vision for the Enterprise of the Future, we are building the data foundation required for advanced technologies such as artificial intelligence, while actively developing Agentic AI capabilities to accelerate data-driven automation across the enterprise. This work enables smarter decision making, scalable automation, and faster realization of business value. This is a unique opportunity to join a team at the center of Waters' transformation, working on high-impact initiatives that shape the future of the enterprise.

As a Principal Pricing Data Engineer, you will be a senior technical contributor and domain expert who partners closely with other members of the Pricing Excellence team, as well as colleagues across each Division. You will bring deep technical expertise and own technical solutions for the pricing domain, operating with a high degree of independence. You will design, build, and enhance robust data pipelines, platforms, and automation that specifically enable pricing strategy, analytics, and execution. This includes supporting advanced pricing capabilities such as price waterfall analysis, discount optimization, segmentation, and margin expansion.

This role remains hands-on but with elevated responsibility for data architecture, pricing data models, and cross-functional alignment. You will serve as a key problem solver for complex pricing data challenges and a trusted partner to both technical and business stakeholders, ensuring pricing data is accurate, accessible, and actionable across the enterprise.**This role is hybrid and the office is located in Milford, MA. This is NOT a remote position.**

Responsibilities

Pricing Data Engineering & Architecture

  • Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist pricing-relevant data, including:
    • Transactional sales data (orders, invoices, contracts)
    • Price lists, discounts, rebates, and surcharges
    • Cost, margin, and profitability data
  • Develop and maintain pricing-specific data models, including:
    • Price waterfall
    • Customer and product segmentation hierarchies
    • Realized price and margin analytics
  • Define and implement the end-to-end pricing data architecture, ensuring integration across systems such as ERP, CRM, and CPQ.
  • Establish scalable frameworks to support global pricing governance and standardization across divisions and regions.

Advanced Data Engineering & Platform Development

  • Contribute to and influence data platform design for analytics, machine learning, and Agentic AI workloads, with a focus on pricing use cases.
  • Build high-performance data pipelines capable of supporting:
    • Large-scale transactional datasets
    • Near real-time pricing insights and monitoring
  • Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure pricing data integrity and auditability.
  • Optimize data pipelines for performance, cost efficiency, and scalability in cloud environments.

Pricing Analytics & Decision Enablement

  • Partner closely with Global Pricing and Commercial teams to translate business problems into scalable data solutions.
  • Enable advanced pricing analytics, including:
    • Price realization and leakage analysis
    • Discount and rebate effectiveness
    • Customer/product elasticity modeling (in collaboration with data science)
  • Ensure pricing data is model-ready, traceable, and reproducible for analytics and machine learning applications.
  • Support development of pricing dashboards, KPIs, and reporting frameworks used by senior leadership.

Software Engineering Excellence

  • Develop production-grade Python code using strong OOP and functional programming practices.
  • Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability.
  • Participate actively in code reviews, automated testing, and source control workflows.
Qualifications

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.
  • Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases.
  • Proven experience building and operating endtoend data pipelines (ETL/ELT) in modern data environments.
  • Solid understanding of source control, collaborative development workflows, and production support.
  • Strong experience working with commercial and pricing-related data (e.g., sales transactions, pricing, margins, rebates).
  • Experience mentoring peers and contributing to technical best practices within a team environment.
  • Strong communication skills and the ability to work effectively with both technical and nontechnical partners.
  • Demonstrated drive, curiosity, humility, and ability to learn.

Nice to Have / Plus Qualifications

  • Familiarity with process mining platforms such as Celonis, including working with eventbased data and enabling transparency into endtoend business processes.
  • Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions.
Company Description

Waters Corporation (NYSE:WAT)  is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.  

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

Employment Type: OTHER