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Intern Business Intelligence Engineer Jobs in Texas

Learfield

Business Intelligence Engineer

Dallas, TX

$100K - $120K/yr

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and ...

Paciolan

Business Intelligence Engineer

Dallas, TX · On-site

$100K - $120K/yr

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and ...

Vericast

Business Intelligence Engineer

San Antonio, TX · On-site

$46 - $59.75/hr

EXPERIENCE * 3+ years of experience in Business Intelligence, Data Engineering, Data Warehousing, Analytics Engineering, Software Development, or related technical disciplines. * 3+ years of hands-on ...

Vericast

Business Intelligence Engineer

San Antonio, TX · On-site +1

$46 - $59.75/hr

EXPERIENCE * 3+ years of experience in Business Intelligence, Data Engineering, Data Warehousing, Analytics Engineering, Software Development, or related technical disciplines. * 3+ years of hands-on ...

DTCC

Business Intelligence Engineer

Coppell, TX · On-site

$47.50 - $61.50/hr

Bachelor's degree preferred or equivalent practical experience * 4-7 years of Business Intelligence ... Microsoft Power Platform Developer Associate * PL-600: Microsoft Power Platform Solution Architect

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Intern Business Intelligence Engineer information

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

As of Aug 14, 2026, the average hourly pay for intern business intelligence engineer in Texas is $17.99, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.47 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?

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 the most commonly searched types of Business Intelligence Engineer jobs in Texas?

The most popular types of Business Intelligence Engineer jobs in Texas are:

What are popular job titles related to Intern Business Intelligence Engineer jobs in Texas?

For Intern Business Intelligence Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Intern Business Intelligence Engineer jobs in Texas look for?

The top searched job categories for Intern Business Intelligence Engineer jobs in Texas are:

What cities in Texas are hiring for Intern Business Intelligence Engineer jobs?

Cities in Texas with the most Intern Business Intelligence Engineer job openings:

Intern Business Intelligence Engineer jobs near you
Infographic showing various Intern Business Intelligence Engineer job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $37,429 per year, or $18 per hour.

Business Intelligence Engineer

Learfield

Dallas, TX

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago

Learfield rating

8.4

Company rating: 8.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

6th of 50 rated marketing agency

Job description

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and modern cloud data platforms. In this role, you'll have end-to-end ownership of the data products that empower our clients to make timely, high-impact business decisions while helping shape the future of our analytics capabilities.

Essential Duties & Responsibilities:

  • Build and scale business intelligence as a service, delivering insights that create measurable value for clients
  • Design, own, and evolve end-to-end data solutions across data engineering, analytics, and data science
  • Develop and maintain dynamic dashboards using Fundraising, Ticketing, Marketing, and other complex data sources
  • Lead client onboarding and act as a long-term analytics partner to participating organizations
  • Ensure data accuracy and reliability through rigorous validation, monitoring, and root-cause analysis
  • Create data models and structures that power trusted, scalable analytics
  • Partner closely with Product, UI/UX, Customer Success, and fellow data engineers to deliver intuitive, high-impact solutions
  • Proactively propose new analyses and help shape how insights are shared across clients and internal teams

Minimum Qualifications:

  • 4+ years of work experience delivering business intelligence or analytics to stakeholders across teams or organizations
  • Demonstrated experience in the ticketing/live events/sports space
  • Strong SQL skills and hands-on experience with cloud data warehouses (Snowflake, AWS, or similar)
  • Experience building dashboards and reports using modern data visualization tools (Tableau preferred)
  • A curiosity-driven mindset-you ask "why," connect patterns, and turn data into clear, compelling stories
  • A passion for building analytics that are not only accurate, but genuinely useful and actionable
  • Comfort giving and receiving feedback, and a willingness to stretch beyond your comfort zone

Preferred Qualifications:

  • Experience with Python or R for predictive, statistical, or categorical modeling
  • Familiarity with live entertainment, college athletics, or fundraising data
  • End-to-end data engineering experience (source warehouse visualization/export)
  • Experience with ETL tools and modern data stack patterns
  • Deep familiarity with Snowflake or similar cloud data platforms
  • Exposure to AI-driven analytics use cases (e.g., forecasting, segmentation, anomaly detection, or AI-assisted insights), and interest in building data foundations that support future AI capabilities

Pay Transparency:

The approximate national base pay range for this position is $100,000 to $120,000. Please note that this is a good faith estimate for the position at the time of posting. Individuals may also be eligible for an annual discretionary bonus and/or sales compensation based on individual and company performance. Placement on the range may vary based on factors including but not limited to job-related knowledge, skills, and experience, and geographic location. The pay rate will comply with all minimum federal, state, and local wage/salary requirements.

Learfield offers a full spectrum of benefits for eligible employees including Medical, Dental, Vision, Health Savings Account, Life Insurance and Other Insurance Plans, Flexible Paid Time Off (minimum 10+ days annually), including Parental Leave, 20 Paid Holidays, 401(k) + Match, and Short/Long Term Disability. Leave benefits are consistent with state and local laws, including the Colorado Health Families and Workplaces Act.

Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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