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Business Intelligence Intern, Information Technology

Job in Plano, Collin County, Texas, 75086, USA
Listing for: ServiceLink IP Holding Company, LLC
Apprenticeship/Internship position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Are you highly motivated and looking to build deep technical expertise through hands-on, real-world data engineering and analytics work? Our Business Intelligence team is seeking a highly technical intern to support a critical modernization initiative focused on migrating legacy SSRS reports to a cloud-based data lake and modern semantic models
.

This internship is designed for students who want to strengthen skills in data modeling, SQL development, report migration, and analytics architecture
, rather than end-user reporting or business-facing analysis. The intern will work closely with experienced BI engineers on well-defined migration and design tasks that are critical to the scalability and future-state analytics platform.

If you are excited about learning modern BI architecture and contributing to foundational technical initiatives, we encourage you to apply.

A DAY IN THE LIFE

In this role, you will…

  • Support the migration of legacy SSRS reports to a data lake-centric analytics architecture
  • Analyze existing SSRS report logic, stored procedures, datasets, and dependencies
  • Re-create report logic using SQL, data lake structures, and modern semantic models
  • Design and implement semantic layers (Power BI datasets, tabular models, or equivalent) optimized for reuse and performance
  • Assist with data model normalization, star schema design, and metric standardization
  • Validate migrated reports and datasets for data accuracy, performance, and completeness
  • Document source-to-target mappings, transformation logic, and modeling standards
  • Collaborate primarily with BI engineers and architects; limited to no direct business user interaction
  • Gain hands-on experience with enterprise BI modernization initiatives
  • Apply academic knowledge to large-scale, real-world data systems
WHO YOU ARE

You possess …

  • Undergraduate Junior, Senior, or Graduate status in Computer Science, Information Systems, Data Analytics, or related field
  • Strong interest in data engineering, analytics platforms, and BI architecture
  • Solid understanding of SQL, including joins, aggregations, and query optimization
  • Familiarity with relational data models and dimensional modeling concepts
  • Exposure to or interest in data lakes, analytics platforms, or cloud data services
  • Experience with Power BI, SSRS, or other reporting tools (academic or internship experience acceptable)
  • Strong analytical and problem-solving skills
  • A desire to work on focused, independent technical projects
  • Attention to detail and commitment to data quality and design best practices
Responsibilities
  • Inventory and analyze existing SSRS reports, data sources, and queries
  • Translate report logic and calculations into data lake–based SQL models
  • Design and build semantic datasets to support modern reporting and analytics
  • Refactor complex SQL and reporting logic for performance and scalability
  • Support testing and validation of migrated datasets and reports
  • Create clear technical documentation for data models and migration decisions
  • Participate in a structured intern capstone project focused on BI modernization
  • Attend regular team check-ins to track progress and remove technical blockers
Qualifications
  • Undergraduate Junior, Senior, or Graduate Student; IT, Computer Science, Data, or Engineering majors preferred
  • Strong SQL and analytical skills
  • Basic understanding of data modeling and reporting concepts
  • Comfortable working independently with clearly defined technical tasks
  • Working knowledge of Microsoft Office Suite
  • Ability to document technical work clearly
  • Ability to manage time effectively and meet deadlines
  • Ability to work in a fast-paced technical environment
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