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Data Analyst Internship Jobs in Hanover, NH (NOW HIRING)

Dartmouth College

Research Intern

Hanover, NH · On-site

... analysis using de-identified data, including coding and summarizing findings for internal reports. The interns may also assist with planning and recruitment for pilot testing sessions in which ...

Dartmouth College

Research Intern

Hanover, NH · On-site

... analysis using de-identified data, including coding and summarizing findings for internal reports. The interns may also assist with planning and recruitment for pilot testing sessions in which ...

Dartmouth College

Research Trainee

Hanover, NH · On-site

... with data collection and analysis, contributing to manuscript preparation, and engaging in other scholarly activities under the guidance of faculty mentors. This component of the internship is ...

All JobsData Analyst JobsData Analyst Internship JobsData Analyst Internship Jobs in Hanover, NH

Data Analyst Internship information

See Hanover, NH salary details

$11

$22

$41

How much do data analyst internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analyst internship in Hanover, NH is $22.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $24.47 per hour, depending on experience, location, and employer.

What is a data analyst internship?

A Data Analyst Internship is a temporary position where interns gain hands-on experience in collecting, organizing, and analyzing data to support business decisions. Interns typically work with large datasets, use tools like Excel, SQL, and Python, and create reports or visualizations. The role helps develop technical skills, analytical thinking, and an understanding of how data-driven insights impact an organization. It is a great opportunity for students or recent graduates to apply theoretical knowledge in a real-world setting.

What typical projects or responsibilities might I have as a data analyst intern?

As a Data Analyst Intern, you'll likely work on tasks such as cleaning and organizing raw data, running analysis to identify trends or patterns, and assisting with the creation of reports and data visualizations for your team. You may collaborate closely with senior analysts or cross-functional teams to support ongoing projects and business initiatives. Interns commonly get exposure to real-world datasets, participate in team meetings, and sometimes contribute to presentations or process improvement efforts. This hands-on experience is designed to help you develop both your technical and analytical skills while gaining insight into the role of data in business decision-making.

What are the key skills and qualifications needed to thrive in a data analyst internship, and why are they important?

To thrive as a Data Analyst Intern, you need a solid grounding in statistics, data interpretation, and problem-solving, often backed by coursework or a degree in fields like mathematics, computer science, or economics. Familiarity with tools such as Microsoft Excel, SQL databases, and data visualization software like Tableau or Power BI is highly valuable. Attention to detail, effective communication, and a willingness to learn are essential soft skills for success in this position. These competencies are crucial for accurately analyzing data, drawing insights, and clearly presenting findings to support business decisions.

What are the most commonly searched types of Data Analyst jobs in Hanover, NH?

The most popular types of Data Analyst jobs in Hanover, NH are:

What job categories do people searching Data Analyst Internship jobs in Hanover, NH look for?

The top searched job categories for Data Analyst Internship jobs in Hanover, NH are:

What cities near Hanover, NH are hiring for Data Analyst Internship jobs?

Cities near Hanover, NH with the most Data Analyst Internship job openings:

Data Analyst Internship jobs near you
Infographic showing various Data Analyst Internship job openings in Hanover, NH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $46,733 per year, or $22.5 per hour.

Manufacturing Data Analyst (On-Site)

Whelen Engineering

NH • On-site

Full-time

Posted 2 days ago

New

Whelen Engineering rating

6.4

Company rating: 6.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

135th of 159 rated electronics manufacturers

Job description

Manufacturing Data Analyst (On-Site)
Department: Office NH
Employment Type: Full Time
Location: Charlestown, NH
Description
We are seeking a Manufacturing Data Analyst with a strong operations background to help turn manufacturing, supply chain, quality, maintenance, inventory, and business process data into actionable insights. This role is ideal for someone who understands how operations work across functions and can translate operational questions into reliable data, clear dashboards, and practical recommendations that improve safety, quality, delivery, cost, productivity, and customer service.
Key Responsibilities
  • Analyze operations, manufacturing, supply chain, quality, maintenance, inventory, and customer service data to identify trends, bottlenecks, risks, and improvement opportunities.
  • Develop and maintain dashboards, reports, and scorecards that track key operational metrics such as throughput, yield, scrap, rework, downtime, labor utilization, cycle time, inventory accuracy, schedule attainment, supplier performance, on-time delivery, and customer service levels.
  • Partner with operations leaders, production teams, supply chain, planning, quality, engineering, maintenance, finance, and customer-facing teams to understand business needs and translate them into data-driven solutions.
  • Validate data accuracy, reconcile discrepancies, and document data sources, definitions, assumptions, and refresh processes.
  • Support continuous improvement initiatives by identifying root causes, quantifying opportunities, and measuring the impact of process changes across operational functions.
  • Use data to support capacity planning, labor planning, production scheduling, inventory optimization, supplier performance management, quality improvement, and operational performance reviews.
  • Create clear, concise presentations and recommendations for operations leadership and cross-functional stakeholders.
  • Help improve data collection processes, reporting standards, and analytics workflows across operations.

Skills, Knowledge and Expertise
  • Bachelor's degree in Operations Management, Supply Chain, Engineering, Business Analytics, Data Analytics, Statistics, Information Systems, or a related field; equivalent practical experience may be considered.
  • 3+ years of experience in data analysis, operations analysis, supply chain analytics, manufacturing analytics, quality analytics, industrial engineering, or a similar role.
  • Hands-on experience working in or closely with an operations environment such as manufacturing, supply chain, distribution, quality, planning, or customer operations.
  • Strong proficiency with Microsoft Excel and data visualization tools such as Power BI, Tableau, or similar platforms.
  • Experience using SQL or other querying tools to extract, transform, and analyze data from databases, ERP systems, MES platforms, quality systems, supply chain systems, or other operational systems.
  • Strong understanding of operational metrics, process flows, constraints, tradeoffs, and continuous improvement concepts.
  • Ability to communicate complex data findings in a clear, practical way for both technical and non-technical audiences.
  • Strong attention to detail, problem-solving ability, and comfort working with incomplete or imperfect operational data.

Preferred Qualifications
  • Advanced proficiency with Microsoft Excel, including formulas, pivot tables, data modeling, data validation, and analysis of large operational data sets.
  • Experience building, maintaining, and improving Tableau dashboards, reports, and visualizations for operations, supply chain, quality, or manufacturing teams.
  • Ability to translate operational questions into clear Tableau views, KPIs, filters, and scorecards that support decision-making at multiple levels of the organization.
  • Experience connecting, cleaning, and validating data from ERP, MRP, MES, CMMS, WMS, CRM, quality management systems, or other operational systems.
  • Familiarity with Lean, Six Sigma, value stream mapping, root cause analysis, standard work, or operational excellence practices.
  • Knowledge of operational performance measures such as OEE, downtime, yield, scrap, labor efficiency, capacity, inventory turns, forecast accuracy, supplier performance, cost drivers, and service levels.
  • Experience supporting multi-site operations or complex environments that include manufacturing, supply chain, quality, or distribution functions.
  • Experience evaluating additional analytics, automation, or reporting tools when supported by a clear business need and return on investment.

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