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Internship International Data Analyst Jobs in Spring, TX

Our rigorous methodology ensures compliance with domestic and international standards. We can meet ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Our rigorous methodology ensures compliance with domestic and international standards. We can meet ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Our rigorous methodology ensures compliance with domestic and international standards. We can meet ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Our rigorous methodology ensures compliance with domestic and international standards. We can meet ... The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ...

Bachelor's degree in Business, Finance, Economics, Information Systems, or a related field * 0-2 years of professional experience in a data, analytics, or reporting role (internships and co-ops count)

Bachelor's degree in Business, Finance, Economics, Information Systems, or a related field * 0-2 years of professional experience in a data, analytics, or reporting role (internships and co-ops count)

... and international operations. At Husch Blackwell we believe that diverse, equitable and inclusive ... The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science ...

... and international operations. At Husch Blackwell we believe that diverse, equitable and inclusive ... The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science ...

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Internship International Data Analyst information

See Spring, TX salary details

$10

$20

$37

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

As of Aug 4, 2026, the average hourly pay for internship international data analyst in Spring, TX is $20.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.83 per hour, depending on experience, location, and employer.

What is the difference between Internship International Data Analyst vs Data Analyst?

AspectInternship International Data AnalystData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data-related fieldsBachelor's or higher in data science, statistics, or related fields
Work EnvironmentInternship programs, often in multinational companies or organizationsFull-time roles in various industries
Employer & Industry UsageUsed by companies to train and evaluate potential future employeesEstablished role for analyzing data to support business decisions

The main difference is that an Internship International Data Analyst is a temporary, entry-level position aimed at gaining experience, while a Data Analyst is a full-time professional role with ongoing responsibilities. Internships often serve as a stepping stone toward a permanent Data Analyst position in the industry.

What types of projects and data sets can I expect to work with as an internship international data analyst?

As an International Data Analyst intern, you’ll typically work on projects involving the analysis of global market trends, customer demographics, and international sales data. You may use large, diverse data sets from various countries, requiring you to understand cultural and regional differences in the data. Your daily tasks may include data cleaning, visualization, and collaborating with teams across different time zones. This role often provides a chance to develop technical skills in tools like Excel, Python, or SQL, while also building cross-cultural communication skills important for a global business environment.

What does an internship international data analyst do?

An Internship International Data Analyst assists with collecting, analyzing, and interpreting data from global sources to help organizations make informed decisions. Their responsibilities often include data cleaning, statistical analysis, creating reports, and supporting cross-border projects. Interns typically work with large datasets, use data visualization tools, and may collaborate with international teams. The role provides practical experience in data analytics, exposure to global business practices, and the opportunity to develop technical and communication skills.

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

To thrive as an Internship International Data Analyst, you typically need a strong foundation in statistics, data analysis, and proficiency with spreadsheet and database tools, often supported by coursework in data science, economics, or related fields. Experience with analytical software such as Excel, SQL, Python, or data visualization platforms like Tableau is commonly required, along with familiarity with international datasets. Strong communication, attention to detail, and adaptability help interns effectively interpret data and present insights to diverse stakeholders. These skills enable accurate data-driven decision-making and clear reporting in a global business environment.
What are popular job titles related to Internship International Data Analyst jobs in Spring, TX? For Internship International Data Analyst jobs in Spring, TX, the most frequently searched job titles are:
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What cities near Spring, TX are hiring for Internship International Data Analyst jobs? Cities near Spring, TX with the most Internship International Data Analyst job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

About Us:

Panelmatic, Inc. was founded in 1957 in Youngstown, OH to serve manufacturing industries with the design and build of custom electrical, instrument, and pneumatic control panels. Our business has sufficiently grown over the years to support expansion for our clients. We have produced control packages for many of America's top corporations in the data center, chemical, food & beverage, pulp & paper, material handling, oil & gas, pharmaceutical, renewables, metals, and utility markets. We also deliver equipment for use worldwide. Our rigorous methodology ensures compliance with domestic and international standards. We can meet the needs of our diverse clientele from start to finish through sales, design, fabrication, testing, and delivery.

Since 1957, we have been known for our high-quality, control packages, our comprehensive service, and our technological and manufacturing expertise. This expertise assures you of our ability to handle the largest and most complex packages quickly and efficiently.

Job Summary:

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational performance visibility, enabling real-time insight into revenue, backlog, margin, labor utilization, and project execution metrics.

This role partners closely with Finance, Operations, Sales, and project teams to define metrics, standardize reporting, build dashboards, and surface actionable insights that improve execution and business performance.

Job Duties:

  • Design and develop interactive dashboards, scorecards, and enterprise reports in Microsoft Power BI to provide visibility into revenue, backlog, margin, labor utilization, and project execution metrics.
  • Build and optimize semantic models, datasets, and scalable data models using star schema and dimensional modeling techniques.
  • Develop advanced calculations, measures, and business logic using DAX to support standardized KPI reporting and decision-making.
  • Implement and support Microsoft Fabric solutions, including Lakehouse architectures, data pipelines, and cloud-based enterprise reporting capabilities.
  • Create and maintain data transformation workflows using Power Query, SQL, and Fabric pipelines to integrate and prepare data from ERP, MES, CRM, financial, operational, and manufacturing systems.
  • Collaborate with Finance, Operations, Sales, and other business stakeholders to define KPIs, metrics, reporting requirements, and governance standards.
  • Establish and maintain reporting governance, data quality standards, documentation, security models, row-level security, and data access controls.
  • Monitor report performance, optimize query efficiency, and troubleshoot reporting, refresh, and data integration issues.
  • Support self-service BI initiatives through user enablement, training, and scalable reporting solutions that reduce manual effort and improve adoption.
  • Assist with enterprise data strategy, analytics modernization, and broader cloud data initiatives to improve operational and financial insight across the business.

Requirements

Minimum Qualifications:

  • Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, or a related field; equivalent experience considered.
  • 3+ years of experience in business intelligence, data analysis, enterprise reporting, or operational analytics.
  • Advanced proficiency in Microsoft Power BI, including dashboard development, semantic models, and enterprise reporting solutions.
  • Strong SQL skills and experience with Power Query for data extraction, transformation, and preparation.
  • Experience developing DAX calculations, measures, and business logic to support KPI reporting and analytics.
  • Understanding of scalable data modeling concepts, including star schema and dimensional modeling techniques.
  • Utilize AI/ML techniques and generative AI tools to enhance analytics and automate processes.
  • Experience integrating and validating data from ERP, MES, CRM, financial, operational, or manufacturing systems.
  • Working knowledge of Microsoft Fabric, data pipelines, Lakehouse concepts, or other modern cloud data platforms.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Ability to manage multiple priorities in a fast-paced environment while maintaining accuracy and attention to detail.

Preferred Qualifications:

  • Experience building executive dashboards and operational scorecards in a manufacturing, project-based, or industrial environment.
  • Familiarity with manufacturing, supply chain, operations, finance, and sales analytics.
  • Working knowledge of DAX, Power Query, Python, or other data transformation and analytics tools.
  • Experience with Infor CloudSuite Industrial (CSI v10 multi-tenant cloud environment preferred).
  • Familiarity with KPI governance, master data management, and data quality best practices.
  • Experience with statistical analysis, forecasting, trend analysis, and predictive modeling.

Benefits

  • Medical, dental, vision, HSA, term life, AD&D, STD, LTD
  • 100% medical premium paid for by Panelmatic for the employee-only level medical coverage
  • 80% paid for by Panelmatic and 20% paid for by the employee on all other level medical coverage (i.e. employee plus child, employee plus spouse, family)
  • 401(k) contributions matched 100% up to 4%
  • Scholarships, educational reimbursement, paid volunteerism, and paid personal and professional development provided
  • PTO and paid holidays provided
  • Career advancement opportunities
  • Competitive wages
  • Family-friendly environment with average employee tenure above five years