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Internship Bi Developer Jobs in Cleveland, TN (NOW HIRING)

Internship Bi Developer information

See Cleveland, TN salary details

$9

$19

$32

How much do internship bi developer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for internship bi developer in Cleveland, TN is $19.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.34 per hour, depending on experience, location, and employer.

What is an internship BI developer?

An Internship BI (Business Intelligence) Developer is an entry-level position where students or recent graduates gain practical experience in designing, developing, and maintaining business intelligence solutions. They work under the supervision of senior BI developers and help with tasks such as data modeling, creating dashboards, generating reports, and analyzing data to support business decision-making. This internship role allows individuals to build technical skills in BI tools and programming languages, as well as gain an understanding of business processes and data analytics.

What are the key skills and qualifications needed to thrive as an internship BI developer?

To thrive as an Internship BI Developer, you need foundational knowledge in data analysis, SQL, and database concepts, typically acquired through coursework in computer science or information systems. Familiarity with BI tools such as Power BI, Tableau, or Microsoft SQL Server, and basic programming skills in languages like Python or R are often expected. Strong analytical thinking, problem-solving abilities, and effective communication help interns interpret data and collaborate with team members. These skills are essential for transforming raw data into actionable insights that support business decision-making.

What types of projects and technologies can I expect to work with as an internship BI developer?

As an Internship BI Developer, you will typically assist with developing and maintaining business intelligence solutions, such as dashboards and reports, using tools like Power BI, Tableau, or SQL-based platforms. Expect to work on projects involving data extraction, transformation, and visualization to support business decision-making. You'll often collaborate with data analysts, IT teams, and business stakeholders to understand requirements and deliver actionable insights. This hands-on exposure to real-world data challenges helps you build both technical and communication skills in a supportive team environment.

What is the difference between Internship Bi Developer vs Business Intelligence Analyst?

AspectInternship Bi DeveloperBusiness Intelligence Analyst
Required CredentialsTypically pursuing or recent graduate in Computer Science, IT, or related fieldsBachelor's degree in Business, IT, or related fields; often with certifications in BI tools
Work EnvironmentInternship setting, often in tech or data teams within companiesFull-time role in corporate or consulting environments
Employer & Industry UsageUsed in tech, finance, healthcare, and retail sectors for data projectsCommon in finance, marketing, healthcare, and consulting firms

The main difference is that an Internship BI Developer is an entry-level, temporary position focused on developing skills in BI tools and data integration, while a Business Intelligence Analyst is a full-time professional responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a learning opportunity, whereas analysts are more experienced roles with ongoing responsibilities.

What cities near Cleveland, TN are hiring for Internship Bi Developer jobs?

Cities near Cleveland, TN with the most Internship Bi Developer job openings:

Junior AI Solutions Engineer - AI Taskforce

Chattanooga, TN

Full-time

Re-posted 17 days ago


Job description

Junior AI Solutions Engineer – AI Taskforce

TenCate
Location: Flexible, USA / Global
Job Type: Full-Time
Experience Level: Early Career, 0–3 Years
Travel: Minimal, depending on role requirements
Reports To: Chief Information Officer, through the AI Taskforce

Company Overview

TenCate Grass is a global leader in synthetic turf systems, operating a vertically integrated value chain from polymer production through recycling. As artificial intelligence becomes increasingly important to innovation, operational efficiency, and customer service, TenCate is expanding its enterprise AI capabilities through a dedicated AI Taskforce.

The AI Taskforce develops scalable, governed, and business-aligned AI solutions supporting TenCate operations across EMEA, the United States, and APAC.

Position Summary

TenCate is seeking a Junior AI Solutions Engineer to support the design, development, and deployment of enterprise AI solutions within a governed delivery framework.

This position will collaborate with business stakeholders, product owners, senior engineers, and IT governance teams to deliver secure, compliant, and scalable AI capabilities that create measurable business value.

The role is ideal for an early-career professional seeking to build a strong foundation in enterprise AI engineering through mentorship, structured processes, and exposure to global business operations.

Key Responsibilities

Responsibilities include, but are not limited to:

  • Support the development of AI solutions across commercial, operational, and marketing functions.

  • Work within TenCate’s enterprise AI technology stack, including Claude, Azure, Microsoft Fabric, Copilot, and Power BI.

  • Assist with building AI models, workflows, integrations, and reusable components aligned with business requirements.

  • Support the testing, deployment, monitoring, and optimization of AI solutions.

  • Help monitor data quality, model performance, system reliability, and solution adoption.

  • Assist with maintaining data pipelines, system integrations, and technical components.

  • Follow established architecture, cybersecurity, data-governance, and compliance standards.

  • Participate in structured project intake, validation, documentation, and approval processes.

  • Help translate business requirements and operational challenges into practical technical solutions.

  • Collaborate with senior engineers and cross-functional teams across global regions.

  • Assist with user onboarding, training, playbooks, and knowledge materials for new AI solutions.

  • Gather user feedback and support continuous improvement after implementation.

  • Research emerging AI capabilities and contribute to internal best practices.

Qualifications and Experience
  • Bachelor’s or master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

  • Zero to three years of relevant experience, including internships, academic projects, or professional experience.

  • Foundational knowledge of Python, SQL, and data-processing concepts.

  • Basic understanding of APIs, data pipelines, and system integration.

  • Familiarity with the Microsoft ecosystem, including Azure, Power Platform, or Copilot.

  • Basic understanding of AI and large language model tools, such as Claude or Copilot.

  • Awareness of data quality, cybersecurity, privacy, and governance principles.

  • Ability to translate technical concepts into clear, business-focused communication.

  • Strong analytical, organizational, and problem-solving skills.

  • Coursework, certifications, or hands-on projects involving AI, data, software development, or automation preferred.

Technical Skills and Core Competencies
  • Foundational Python and SQL programming.

  • Data processing, validation, and quality monitoring.

  • API and system-integration fundamentals.

  • Basic AI and large language model application development.

  • Familiarity with Azure, Microsoft Fabric, Power Platform, Copilot, or Power BI.

  • Technical documentation and process development.

  • Structured problem-solving and attention to detail.

  • Strong written and verbal communication skills.

  • Cross-functional collaboration and stakeholder engagement.

  • Curiosity, sound judgment, and a pragmatic understanding of AI capabilities and limitations.

Preferred Experience
  • Exposure to enterprise environments or governed technology-delivery models.

  • Experience with Power BI, Azure Machine Learning, or Microsoft Fabric.

  • Previous involvement in AI, data, software, or automation projects.

  • Completed coursework, certifications, or professional-development programs involving AI modeling, data management, or application development.

Example AI Domains
  • Data Scraping and Modeling: AI-based agents that identify potential turf sales leads using public information.

  • Commercial Intelligence: AI-driven Salesforce insights supporting sales teams.

  • Supply Chain Optimization: Predictive models supporting planning, quality, and logistics.

  • Circular Economy and Sustainability: AI solutions supporting ONE-DNA™ recyclability and traceability.

  • Risk and Regulatory Monitoring: Automated compliance and sustainability reporting.

Growth Path

This position offers a development path toward roles such as:

  • AI Solutions Engineer.

  • AI Platform Engineer.

  • AI Architect.

Success Criteria
  • Demonstrated growth in AI engineering and enterprise IT capabilities.

  • Effective contribution within established governance frameworks.

  • Strong collaboration with business stakeholders and IT teams.

  • Delivery of AI solutions that are adopted and used by the business.

  • Consistent development of reliable documentation and reusable technical components.

Work Environment

This position offers flexible location options based on business and role requirements. The Junior AI Solutions Engineer will collaborate with stakeholders and technical teams across EMEA, the United States, and APAC.

Minimal travel may be required depending on assigned projects and business needs.

Work Authorization

Candidates must be authorized to work in the United States without current or future employer sponsorship. TenCate is unable to provide visa sponsorship for this position.

Equal Employment Opportunity

TenCate is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.