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Intern Business Intelligence Engineer Jobs in Spring, TX

Business Intelligence Engineer

Katy, TX

$44 - $57.25/hr

The Business Intelligence Engineer plays a key role in improving consistency, clarity, and confidence in Percheron's reporting by implementing standardized, leadership-approved metric definitions and ...

New

Business Intelligence Engineer

Katy, TX · On-site +1

$44 - $57.25/hr

The Business Intelligence Engineer plays a key role in improving consistency, clarity, and confidence in Percheron's reporting by implementing standardized, leadership-approved metric definitions and ...

New

dbt Business Intelligence Engineer

Houston, TX · On-site +1

$48.75 - $63.25/hr

Direct Hire Opportunity with one of our top clients. Remote Must be able to work in the US without sponsorship. Requirements: * Must have dbt experience * 2+ years in SQL - will be using dbt SQL in ...

dbt Business Intelligence Engineer

Houston, TX · Remote

$48.75 - $63.25/hr

Direct Hire Opportunity with one of our top clients. Remote Must be able to work in the US without sponsorship. Requirements: * Must have dbt experience * 2+ years in SQL - will be using dbt SQL in ...

Required : • Bachelor's degree in Computer Science, Software Engineering, Data Science, Data ... of business intelligence concepts, KPI development, and data visualization best practices. • ...

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Intern Business Intelligence Engineer information

See Spring, TX salary details

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How much do intern business intelligence engineer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for intern business intelligence engineer in Spring, TX is $17.19, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $18.61 per hour, depending on experience, location, and employer.

What does an Intern Business Intelligence Engineer do?

An Intern Business Intelligence Engineer assists with collecting, analyzing, and interpreting data to help organizations make informed business decisions. Their responsibilities often include building dashboards, preparing reports, and supporting data warehouse management under the guidance of senior BI engineers. They may also help with data cleaning, automation of data processes, and learning how to use BI tools such as Tableau, Power BI, or SQL. The role is ideal for students or recent graduates interested in data analysis and business strategy. Interns gain hands-on experience in real-world business data environments.

What are the key skills and qualifications needed to thrive as an Intern Business Intelligence Engineer, and why are they important?

To thrive as an Intern Business Intelligence Engineer, you need strong analytical skills, a foundation in data analysis, and familiarity with SQL, data modeling, or statistics, often supported by coursework in computer science, information systems, or a related field. Proficiency with BI tools such as Tableau, Power BI, or Looker, and basic knowledge of programming languages like Python or R, are typically expected. Attention to detail, problem-solving ability, and effective communication will help you translate complex data insights into actionable business recommendations. These skills and qualities are vital for transforming raw data into meaningful information that drives informed business decisions.

What types of projects and responsibilities can an Intern Business Intelligence Engineer expect during their internship?

As an Intern Business Intelligence Engineer, you’ll typically assist with designing, developing, and maintaining data models, dashboards, and reports that support business decision-making. Your daily tasks may include analyzing large data sets, working with SQL or data visualization tools, and collaborating closely with data analysts, engineers, and business stakeholders. Interns often get hands-on experience with real-world business problems, learn best practices in data management, and may even contribute to process automation or reporting improvements. This role provides a valuable opportunity to develop technical skills, gain exposure to industry-standard BI tools, and understand how data-driven insights influence business strategies.

What is the difference between Intern Business Intelligence Engineer vs Data Analyst Intern?

AspectIntern Business Intelligence EngineerData Analyst Intern
Required SkillsSQL, data modeling, BI tools, basic programmingExcel, SQL, data visualization, statistical analysis
Work EnvironmentDeveloping dashboards, data pipelines, supporting BI solutionsData cleaning, reporting, analyzing datasets
Industry UsageTech, finance, consulting firms with BI teamsMarketing, retail, healthcare sectors

Intern Business Intelligence Engineers focus on building and maintaining BI tools and data pipelines, often requiring knowledge of SQL and data modeling. Data Analyst Interns primarily analyze datasets and create reports using Excel and visualization tools. Both roles are common in data-driven industries but differ in technical scope and responsibilities.

What are popular job titles related to Intern Business Intelligence Engineer jobs in Spring, TX? For Intern Business Intelligence Engineer jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Intern Business Intelligence Engineer jobs in Spring, TX look for? The top searched job categories for Intern Business Intelligence Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Intern Business Intelligence Engineer jobs? Cities near Spring, TX with the most Intern Business Intelligence Engineer job openings:
Business Intelligence Engineer

Business Intelligence Engineer

Percheron LLC

Katy, TX

$44 - $57.25/hr

Full-time

Posted 5 days ago

New


Job description

Description

Percheron is seeking a Business Intelligence Engineer to help strengthen how data is used to drive decisions across the organization. In this role, you will design, build, and maintain trusted enterprise reporting by developing high-quality Power BI semantic models and delivering core dashboards relied upon by leadership, project teams, and clients.

The Business Intelligence Engineer plays a key role in improving consistency, clarity, and confidence in Percheron’s reporting by implementing standardized, leadership-approved metric definitions and reducing redundant or conflicting reports. You will translate business and operational needs into clear, performant, and well-governed reporting solutions that scale across projects and functions.

This is a hands-on role for a Power BI expert who enjoys partnering with stakeholders, simplifying complex data, and creating reporting experiences that are easy to use, reliable, and actionable. Success in this position means improving adoption of enterprise reporting, strengthening data trust, and enabling Percheron teams to make better, faster decisions using shared insights.

Job Responsibilities

Power BI Semantic Model Ownership

  • Assess, refactor, and enhance existing Power BI semantic models, including models built by third parties, to ensure clarity, performance, and long-term maintainability.
  • Standardize business logic by migrating calculations and transformations from individual reports into reusable, governed semantic models.
  • Publish and maintain certified datasets and shared measure sets to ensure leadership-approved metric definitions are implemented consistently across teams.

Core Dashboard Design & Maintenance

  • Design, redesign, and maintain core enterprise dashboards to improve usability, performance, and clarity.
  • Create role-based reporting experiences (e.g., executive, operational) and avoid overly complex “do-everything” dashboards.
  • Optimize report performance through model optimization, DAX tuning, visual optimization, and reliable refresh configurations.

Reporting Portfolio Rationalization

  • Inventory existing reports and dashboards to identify redundancy, conflicting narratives, and opportunities for consolidation.
  • Recommend and support dashboard consolidation or retirement plans.
  • Establish lightweight standards for determining when a new dashboard is warranted versus enhancing existing reporting.

Quality, Documentation, and Governance

  • Maintain KPI catalogs and metric documentation, including definitions, measure logic, assumptions, and usage guidance.
  • Implement and follow structured release and change practices, including testing checklists, versioning, and impact documentation.
  • Monitor data freshness, reliability, and refresh behavior; troubleshoot failures and address recurring root causes.
  • Apply best practices for data validation, refresh scheduling, and maintaining source-of-truth consistency.

Cross-Team Collaboration & Enablement

  • Conduct structured discovery for core dashboards by gathering requirements, understanding decision use cases, and defining success criteria.
  • Partner with business stakeholders to iterate on reporting solutions based on feedback and evolving needs.
  • Collaborate with data and source system owners to resolve data quality and integration issues.
  • Contribute to documentation and training materials; deliver enablement or usage training as needed.
  • Other duties as assigned.

Job Requirements

  • Proven end-to-end delivery experience in Power BI, including semantic modeling, DAX measure development, and dashboard/report design.
  • Strong expertise in:
    • Semantic model design (relationships, star schema concepts, reusable measures)
    • DAX development (measure patterns, performance tuning, calculation logic)
    • Row-Level Security (RLS) and permissioning patterns
    • Power Query (M) and connecting to multiple data sources
    • Microsoft Fabric capabilities for data ingestion and curation
  • Strong SQL proficiency, including writing and troubleshooting queries (joins, aggregations, filters) and validating results.
  • Experience standardizing, documenting, and governing KPI definitions and metrics.
  • Understanding of API integrations and data ingestion patterns.
  • Experience maintaining certified/shared datasets, documentation, naming conventions, and change control practices.
  • Ability to translate business questions into clear reporting requirements, success criteria, and realistic implementation plans.
  • Strong communication skills with the ability to explain tradeoffs, assumptions, and definitions to technical and non-technical stakeholders.
  • Strong attention to detail, planning, organization, and time management skills.
  • Ability to moderate competing inputs, align stakeholders on priorities, and set clear expectations on scope and limitations.
  • Willingness to assume new or additional responsibilities as needed.
  • Ability to work autonomously and to collaborate fully as a team player.
  • Ability to pay close attention to details, and present good planning, organization, and time management skills.
  • Ability to maintain regular attendance as per work schedule agreed with the manager (may require working an adjusted work schedule based on project assigned and work overtime if warranted).
  • Ability to comply with applicable laws and regulations and Company policies and procedures.