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Data Analytics Intern Relocation Jobs in Katy, TX

Smartbridge

Data Analytics and AI Manager

Houston, TX · On-site

Data Analytics and AI Manager - Full-Time, Hybrid (Houston, TX) Location: Houston, TX (West Sam ... Reasonable commuting distance required; relocation assistance is not available Powered by JazzHR ...

HealthCorps

Monitoring & Evaluation Intern

Houston, TX · Remote

... Intern to join our team. The ideal candidate will play a crucial role in managing and analyzing ... Data Analysis & Reporting * Support basic data analysis to surface insights that support program ...

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All JobsData Analytics Intern Relocation JobsData Analytics Intern Relocation Jobs in Katy, TX

Data Analytics Intern Relocation information

See Katy, TX salary details

$11

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$38

How much do data analytics intern relocation jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics intern relocation in Katy, TX is $20.65, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $22.50 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Intern Relocation vs Data Analyst?

AspectData Analytics Intern RelocationData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, sometimes certifications
Work EnvironmentInternship setting, often temporary, collaborative teamsFull-time, permanent role, more independent responsibilities
Employer & Industry UsageUsed by companies offering internship programs, often in tech, finance, healthcareCommon across industries for ongoing data analysis needs
Search & Comparison IntentPeople exploring internship opportunities, relocation detailsIndividuals seeking full-time data analysis roles

In summary, Data Analytics Intern Relocation focuses on temporary internship roles involving relocation, often for students or recent graduates. Data Analyst positions are full-time roles requiring more experience and offering ongoing employment. The main differences lie in experience level, job permanence, and purpose of the role.

What are some common challenges faced by data analytics interns who relocate for their internship, and how can these be managed?

Relocating for a Data Analytics Internship often presents challenges such as adjusting to a new city, building a professional network from scratch, and adapting to the company's culture and data tools. Interns may find the initial weeks overwhelming as they balance settling in and meeting project expectations. Proactively reaching out to teammates, attending company events, and seeking mentorship can help ease the transition. Many organizations also offer onboarding sessions and resources to support relocated interns, so taking advantage of these can make the move smoother and more rewarding.

What are Data Analytics Intern relocation programs?

Data Analytics Intern Relocation programs are initiatives by employers to support interns who need to move to a new city or country for a data analytics internship. These programs may provide financial assistance, housing support, or guidance on moving logistics. The goal is to make it easier for interns to transition smoothly and focus on their internship experience. Depending on the employer, relocation packages can vary greatly, so it’s important to ask about available support during the application process.

What are the key skills and qualifications needed to thrive as a data analytics intern?

To thrive as a Data Analytics Intern, you need a strong grasp of statistics, data analysis, and foundational programming skills, often supported by coursework in data science, statistics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically expected. Critical thinking, attention to detail, and effective communication make candidates stand out by enabling them to interpret and present data insights clearly. These skills and qualities are crucial for extracting actionable insights from complex data and supporting informed business decisions.
What are popular job titles related to Data Analytics Intern Relocation jobs in Katy, TX? For Data Analytics Intern Relocation jobs in Katy, TX, the most frequently searched job titles are:
What job categories do people searching Data Analytics Intern Relocation jobs in Katy, TX look for? The top searched job categories for Data Analytics Intern Relocation jobs in Katy, TX are:
What cities near Katy, TX are hiring for Data Analytics Intern Relocation jobs? Cities near Katy, TX with the most Data Analytics Intern Relocation job openings:
Data Analytics Intern Relocation jobs near you

AI & Data Analytics Co-op/Intern

Amot Controls Corporation

Houston, TX • On-site

Full-time

Re-posted 19 hours ago

Job description

Position Type: Co-op / Internship (Graduate-level, semester or summer term)
Location: [On-site - Houston]
Duration & Schedule: 10-12 week summer internship OR 4-8 month co-op aligned to Fall, Spring, or Summer academic terms; full-time (40 hours per week).
Key Responsibilities:
  • Engage with stakeholders across all levels of the organization to map end-to-end workflows for Sales, Customer Service, and Supply Chain functions, and translate business needs into well-scoped analytics or automation problem statements.
  • Collaborate within cross-functional teams to identify process bottlenecks and propose intelligent automation opportunities, prioritizing solutions based on business impact, feasibility, and time-to-value.
  • Leverage AI tools such as Microsoft Copilot and Claude to accelerate analysis, prototyping, and solution development, while applying sound judgment about when AI assistance is appropriate.
  • Contribute to the design, development, and deployment of internal AI chatbots and autonomous agents within the Microsoft Azure ecosystem (Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform) to improve productivity and service levels.
  • Build evaluation datasets, design test cases, and measure the quality, accuracy, and safety of deployed AI agents.
  • Support adoption through training, documentation, and change-management support.
  • Document architectures, workflows, prompts, and lessons learned so that work is reproducible and transferable.

Required Qualifications and Experience:
  • Currently pursuing a Master's degree (or in the final year of an undergraduate program transitioning to graduate study) in Information Systems, Computer Science, Data Analytics, Data Science, Business Analytics, Industrial Engineering, or a related field.
  • Foundational programming skills in Python, including familiarity with libraries such as pandas, NumPy, and at least one visualization or ML library.
  • Working knowledge of SQL - able to write joins, aggregations, and window functions against a relational database.
  • Conceptual understanding of large language models (LLMs), prompt engineering, and retrieval-augmented generation (RAG).
  • Strong analytical and problem-solving skills with a business-oriented mindset; able to frame ambiguous problems and structure an approach.
  • Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications and Experience:
  • Hands-on experience with Power BI (DAX, Power Query) or another enterprise BI tool.
  • Exposure to the Microsoft Azure AI stack - Azure AI Foundry, Azure OpenAI, Azure AI Search, or Cognitive Services.
  • Experience building automations with Power Automate, Copilot Studio, or similar low-code platforms.
  • Familiarity with version control (Git), Jupyter notebooks, and basic software engineering hygiene.
  • Coursework, projects, or internships involving applied machine learning, NLP, or generative AI.
  • Prior exposure to manufacturing, industrial, or B2B operations is a plus but not required.

What You Will Gain:
  • Real ownership of AI and analytics deliverables that are used by AMOT employees and influence operational decisions.
  • Practical experience deploying AI solutions in an industrial manufacturing environment, including governance, security, and adoption considerations.
  • A portfolio of measurable outcomes suitable for academic capstones, theses, or future job applications.

Other:
  • Physical Requirements: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to sit; use hands/fingers to handle, or feel and talk or hear. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must regularly lift and/or move up to 25 pounds and occasionally lift and/or move up to 40 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus.
  • Working Conditions: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts; fumes or airborne particles; toxic or caustic chemicals and risk of electrical shock when in the operations or laboratory areas. The noise level in the work environment is usually moderate, but due to open office environment noise level may occasionally be high.

Disclaimer: The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. EOE/AA/M/F/Vet/Disability
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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