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Afternoon Data Analyst R Programming Jobs in Nashua, NH

Azenta

Senior Product Data Analyst

Burlington, MA · On-site

Analyze results from A/B and multivariate tests to evaluate product experiments, AI-enabled ... Partner with Engineering and Data teams to validate data pipelines, telemetry, model outputs ...

Azenta

Senior Product Data Analyst

Burlington, MA

Analyze results from A/B and multivariate tests to evaluate product experiments, AI-enabled ... Partner with Engineering and Data teams to validate data pipelines, telemetry, model outputs ...

Mitre

Senior Software Developer, Data Analytics

Bedford, MA

$57.25 - $75.75/hr

Java, Python, R, C#, C, SAS, analytic engines, Hadoop, parallelized analytic algorithms, and NoSQL ... Experience with the Map Reduce programming model and technologies such as Hadoop, Hive, and Pig is ...

Amphenol TCS

Data Engineer

Nashua, NH · On-site

$115K - $138K/yr

The Data Engineer will work closely with the IS Lead, Data Analyst, Business Analyst, corporate IT, implementation partners, functional data owners, and the AI Solutions & Automation team. The role ...

Raytheon

Program Proposal Data Analyst

Andover, MA · Remote

The Manufacturing Engineering Planning and Proposal Team partner with Estimating & Pricing to ... As a Program Proposal Data Analyst, your primary responsibilities will include engaging customers ...

New

Raytheon

Program Proposal Data Analyst

Andover, MA · Remote

The Manufacturing Engineering Planning and Proposal Team partner with Estimating & Pricing to ... As a Program Proposal Data Analyst, your primary responsibilities will include engaging customers ...

New

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Nashua, NH

Afternoon Data Analyst R Programming information

See Nashua, NH salary details

$34.3K

$83.5K

$137.4K

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

As of Jul 17, 2026, the average yearly pay for afternoon data analyst r programming in Nashua, NH is $83,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $98,000.00 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 Nashua, NH? For Afternoon Data Analyst R Programming jobs in Nashua, NH, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Nashua, NH look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Nashua, NH are:
What cities near Nashua, NH are hiring for Afternoon Data Analyst R Programming jobs? Cities near Nashua, NH with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you
Senior Product Data Analyst

Senior Product Data Analyst

Azenta

Burlington, MA • On-site

Full-time

Re-posted 18 days ago

Job description

Azenta Inc.
At Azenta, new ideas, new technologies and new ways of thinking are driving our future. Our customer focused culture encourages employees to embrace innovation and challenge the status quo with novel thinking and collaborative work relationships.
All we accomplish is grounded in our core values of Customer Focus, Achievement, Accountability, Teamwork, Employee Value and Integrity
Job Title
Senior Product Data Analyst
Job Description
We are hiring a Senior AI Product Data Analyst to drive actionable insights, shape product strategy, and accelerate the adoption of AI-enabled decision making across digital products and customer experiences.
As a core member of the Product organization, this role will partner with Product Management, UX, Engineering, Data, and Business stakeholders to define success metrics, measure user behavior, evaluate AI-enabled features, and uncover opportunities where analytics, machine learning, automation, and generative AI can deliver measurable business value. This individual will combine strong analytical expertise with modern AI capabilities to transform data into insights, predictions, recommendations, and intelligent product improvements.
This role is onsite 4 days/week in Burlington, MA
Key Responsibilities
  • Define, influence, and maintain core product KPIs that inform feature adoption, user engagement, retention, customer experience, and business value.
  • Conduct deep-dive analyses on product performance, user behavior, funnel conversion, feature usage, and digital journey effectiveness.
  • Identify opportunities to apply Artificial Intelligence (AI), Machine Learning (ML), automation, and Generative AI to improve digital products, customer experiences, insight generation, and operational efficiency.
  • Design and measure AI-specific KPIs including adoption, utilization, accuracy, relevance, usefulness, productivity gains, customer satisfaction, user trust, and business impact.
  • Develop predictive and prescriptive analytical models to support product prioritization, customer behavior forecasting, segmentation, roadmap planning, and opportunity scoring.
  • Analyze results from A/B and multivariate tests to evaluate product experiments, AI-enabled features, recommendation logic, and performance impact.
  • Build and maintain self-serve dashboards in Power BI or Tableau to support product transparency, executive visibility, and data-driven decision-making.
  • Use AI-assisted analytics tools and Large Language Models (LLMs) to accelerate data exploration, root-cause analysis, summarization, narrative development, and decision support.
  • Partner with Engineering and Data teams to validate data pipelines, telemetry, model outputs, feature performance, and AI-driven recommendations.
  • Communicate complex findings through visual storytelling, concise executive summaries, and product recommendations that translate data into action.
  • Support data definition, documentation, metadata alignment, and analytics governance across Product, UX, Engineering, and Business stakeholders.
  • Promote responsible AI practices, including explainability, human oversight, data privacy, security, bias awareness, governance, and validation of AI-generated outputs.
  • Build reusable analytics assets, prompts, dashboards, measurement frameworks, and documentation that help teams use AI responsibly and consistently.

Required Qualifications
  • 5+ years in data, product, business analytics, or digital analytics roles with measurable impact on digital product performance.
  • Proficiency in SQL and Python for querying, analysis, automation, statistical analysis, and scalable analytical workflows.
  • Strong skills in Power BI, Tableau, or similar tools for dashboard creation, reporting, measurement frameworks, and executive-ready insights.
  • Experience conducting behavioral, product, funnel, retention, cohort, journey, and experimentation analysis using large-scale data.
  • Experience applying machine learning, predictive analytics, advanced statistical methods, or AI-assisted analytics to solve business or product challenges.
  • Working knowledge of machine learning concepts, model evaluation techniques, predictive modeling approaches, and responsible use of AI-generated insights.
  • Ability to critically evaluate model outputs and AI-generated recommendations, validate results against source data, and clearly communicate assumptions, limitations, and business implications.
  • Excellent communication and data storytelling skills, with experience presenting to product, business, technical, and executive stakeholders.
  • Experience defining metrics, synthesizing complex data sources, and delivering insight in agile, cross-functional teams.
  • Familiarity with data governance, data privacy, security controls, metadata management, and responsible AI principles.

Preferred Qualifications
  • Experience designing analytics solutions for AI-enabled products, digital platforms, intelligent automation, or customer-facing digital experiences.
  • Experience using Generative AI or LLM-based tools such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Claude, or equivalent technologies to support analytics, insight generation, automation, or product discovery.
  • Familiarity with prompt engineering, AI-assisted workflow design, natural-language analytics, or automated insight-generation approaches.
  • Exposure to machine learning use cases such as forecasting, recommendation engines, anomaly detection, churn/retention modeling, personalization, clustering, propensity scoring, or prioritization models.
  • Experience measuring and optimizing AI feature adoption, recommendation quality, conversational AI performance, copilots, personalization capabilities, or model usefulness.
  • Experience with Azure AI services, Azure OpenAI, Databricks, Snowflake, Microsoft Fabric, or other cloud-scale analytics environments.
  • Knowledge of model monitoring, model lifecycle management, experimentation frameworks, explainability, bias mitigation, and human-in-the-loop validation.
  • Experience in enterprise SaaS, B2B, digital commerce, life sciences, healthcare technology, or regulated environments.
  • Familiarity with experimentation platforms such as Adobe Target, Optimizely, or similar tools.
  • Exposure to compliance frameworks such as GDPR, 21 CFR Part 11, or relevant data governance and privacy standards.

EOE M/F/Disabled/VET
If any applicant is unable to complete an application or respond to a job opening because of a disability, please email at Recruiting@azenta.com for assistance.
Azenta is an Equal Opportunity Employer. This company considers candidates regardless of race, color, age, religion, gender, sexual orientation, gender identity, national origin, disability or veteran status.
United States Base Compensation: $107,000.00 - $134,000.00
The posted pay range for this position is an estimate based on current market data and internal pay structure. Final compensation may vary above or below this range depending on factors such as experience, education (including licensure and certifications), qualifications, performance, and geographic location, among other relevant business or organizational needs.

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