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Internship Spatial Data Analyst Jobs in Conover, NC

US Conec, Ltd.

Data Scientist - Metrology

Hickory, NC · On-site

Internship, co-op, academic project experience, or up to 2 years of experience in data analytics, statistics, engineering, or a related field. * Proficiency with data analysis and programming tools ...

CUATRECASAS

Internship ESG

Barium Springs, NC · On-site

$14 - $18.75/hr

Support in managing questionnaires received from clients, ensuring proper data collection and ... Strong organizational and planning skills with an analytical and strategic mindset Proactive ...

CUATRECASAS

Internship PBC

Barium Springs, NC · On-site

$14.75 - $18.50/hr

... data collection and timely submission of the required information * Assist in the analysis of ... Ability to sign an internship agreement * Availability to join full-time in September or October

Corning

Mechatronics Engineer

Hickory, NC · On-site

... data analysis and lab-grade scripting. * Familiarity with structured experimentation methods such as DOE, Define-Measure-Analyze-Improve-Control (DMAIC), or FMEA through coursework, internships, or ...

Corning

Mechatronics Engineer

Hickory, NC · On-site

... data analysis and lab-grade scripting. * Familiarity with structured experimentation methods such as DOE, Define-Measure-Analyze-Improve-Control (DMAIC), or FMEA through coursework, internships, or ...

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All JobsSpatial Data Analyst JobsInternship Spatial Data Analyst JobsInternship Spatial Data Analyst Jobs in Conover, NC

Internship Spatial Data Analyst information

See Conover, NC salary details

$11

$20

$38

How much do internship spatial data analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship spatial data analyst in Conover, NC is $20.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 per hour, depending on experience, location, and employer.

What does an internship spatial data analyst do?

An Internship Spatial Data Analyst assists in collecting, analyzing, and visualizing geospatial data using tools such as GIS (Geographic Information Systems). Their responsibilities may include mapping locations, interpreting spatial patterns, and supporting senior analysts in projects related to urban planning, environmental monitoring, or logistics. Interns often work with large datasets, learn to use specialized software, and contribute to reports and presentations. This role helps interns develop technical skills and gain practical experience in spatial data analysis.

What types of projects can an internship spatial data analyst expect to work on, and how do these contribute to the organization's goals?

As an Internship Spatial Data Analyst, you can expect to work on projects involving data collection, cleaning, and visualization of geographic information using GIS tools and software. Typical tasks may include analyzing spatial patterns, creating maps for internal or client use, and assisting with data-driven decision-making processes. These projects are vital for supporting urban planning, environmental monitoring, or business logistics, depending on the organization's focus. Your work will often be collaborative, requiring regular communication with senior analysts, project managers, and sometimes field teams to ensure data accuracy and project alignment.

What are the key skills and qualifications needed to thrive as an internship spatial data analyst, and why are they important?

To thrive as an Internship Spatial Data Analyst, you need foundational knowledge in geographic information systems (GIS), spatial data analysis, and a relevant academic background such as geography, environmental science, or computer science. Familiarity with technical tools like ArcGIS, QGIS, and basic programming languages (e.g., Python or R) is typically required. Strong problem-solving skills, attention to detail, and effective communication help you interpret data and present findings clearly. These skills are vital for accurately analyzing spatial data and supporting data-driven decision-making in various projects.

What is the difference between Internship Spatial Data Analyst vs Junior Spatial Data Analyst?

AspectInternship Spatial Data AnalystJunior Spatial Data Analyst
Required CredentialsEnrolled in or recent graduate of related degreeBachelor's degree in GIS, Geography, or related field
Work EnvironmentInternship, supervised, learning-focusedEntry-level professional, more independent tasks
Employer & Industry UsageInternship programs in GIS, urban planning, environmental firmsEntry-level roles in similar industries
Search & Comparison IntentUnderstanding internship opportunitiesClarifying entry-level job roles

The main difference is that an Internship Spatial Data Analyst is a temporary, learning-focused position for students or recent graduates, while a Junior Spatial Data Analyst is an entry-level professional role with more responsibilities and independence. Internships are ideal for gaining experience, whereas junior roles involve applying skills in real projects.

What cities near Conover, NC are hiring for Internship Spatial Data Analyst jobs?

Cities near Conover, NC with the most Internship Spatial Data Analyst job openings:

Internship Spatial Data Analyst jobs near you
Infographic showing various Internship Spatial Data Analyst job openings in Conover, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $43,053 per year, or $20.7 per hour.

Data Scientist - Metrology

US Conec, Ltd.

Hickory, NC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

Overview

US Conec is seeking a Data Analyst I to support data-driven decision-making across research, engineering, and operational teams. In this role, you will collect, analyze, and visualize data to uncover insights that improve business performance, product development, and manufacturing processes. You will collaborate closely with engineers and cross-functional partners to ensure data accuracy, develop reporting solutions, and transform complex information into actionable recommendations.

Responsibilities
  • Collect, organize, and analyze metrology, manufacturing, operational, and business data from multiple sources.
  • Identify trends, patterns, and anomalies within datasets to support research and operational objectives.
  • Clean, validate, and prepare data by resolving errors, inconsistencies, and missing information.
  • Apply statistical analysis techniques to support data-driven recommendations and decision-making.
  • Create and maintain reports, dashboards, and data visualizations that effectively communicate key findings.
  • Support the development, automation, and continuous improvement of data collection and reporting processes.
  • Partner with engineering, operations, and business teams to understand reporting requirements and analytical needs.
  • Perform data validation activities to ensure the integrity, quality, and reliability of datasets.
  • Monitor data quality metrics and proactively identify and communicate data-related issues.
  • Document data sources, workflows, methodologies, and analytical processes to support consistency and knowledge sharing.
  • Contribute to ongoing analytics initiatives that improve operational efficiency, product quality, and business performance.
Must Haves
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
  • Internship, co-op, academic project experience, or up to 2 years of experience in data analytics, statistics, engineering, or a related field.
  • Proficiency with data analysis and programming tools such as Python, R, SQL, or similar technologies.
  • Understanding of fundamental statistical methods and data analysis techniques.
  • Experience creating data visualizations, reports, or dashboards.
  • Strong analytical, critical thinking, and problem-solving skills.
  • High attention to detail with a commitment to data accuracy and quality.
  • Effective written and verbal communication skills.
  • Ability to collaborate effectively in a cross-functional team environment.
Nice to Haves
  • Experience with Tableau, Power BI, or other business intelligence and visualization platforms.
  • Familiarity with spreadsheets, databases, and data management best practices.
  • Exposure to engineering, manufacturing, laboratory, or metrology data environments.
  • Knowledge of data automation, reporting workflows, or process improvement initiatives.
  • Experience working with operational or production-related datasets.
What We Offer
  • Competitive salary with performance-based bonus potential
  • 4 weeks of PTO plus paid holidays
  • Comprehensive medical, dental, and vision coverage
  • 401(k) with employer match
  • A collaborative culture focused on innovation and continuous improvement
  • Opportunities for career growth within a global technology leader

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