Data and Technology Careers

About Data and Technology

Careers in data and technology are rapidly evolving—and in high demand. From business and healthcare to government and social media, organizations across every industry are relying on data to make smarter decisions. As access to data grows, so does the need for professionals who know how to collect, analyze, and interpret it to solve real-world problems.

Whether you’re curious about trends in social media, interested in improving public health systems, or excited by the power of artificial intelligence, a career in tech and data could be a great fit. This field includes roles like Data Analyst, Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer, and intersects with disciplines such as computer science, statistics, business, and even communications.
 

Professionals in this space work with structured and unstructured data—everything from spreadsheets and sales numbers to photos, videos, or customer reviews. Data Analysts typically focus on identifying patterns and trends in current datasets, helping organizations make informed decisions based on what’s already happened. Data Scientists, on the other hand, often build predictive models and use machine learning to forecast what might happen in the future.

As more information becomes available through apps, devices, and online platforms, there’s a growing need for people who can make sense of it all. That’s where you come in. Whether you love finding patterns, building tools, or solving complex problems, there’s a place for you in the world of tech and data.

Common Career Paths for BIA/Tech

  • Data Analyst – interprets data to help companies make decisions using tools like Excel, SQL, Tableau, or Power BI.
  • Data Scientist – builds models and conducts advanced analytics with Python, R, or machine learning tools.
  • Data Engineer – manages and optimizes data pipelines and architecture; typically uses Python, SQL, Spark, and cloud platforms.
  • Product Analyst – analyzes user behavior and product metrics to guide business or product teams.
  • Business Systems Analyst – bridges business needs and technical implementation, often working with ERP/CRM systems.
  • Technology Consultant – advises companies on using tech solutions, including analytics tools, cloud migration, or systems integration.
  • Operations Analyst – optimizes internal processes and logistics using data and process mapping.
  • Financial/Marketing Analyst (with BIA skills) – applies BI tools in functional roles like finance or marketing.

Use Career Dreamer to see what other opportunities are out there!

These build tech products and services.

  • Google
  • Microsoft
  • Salesforce
  • IBM

These serve other businesses with tech and analytics solutions.

  • Deloitte
  • Gallup
  • Oracle
  • RSM
  • Protiviti
  • KPMG

These firms use data to support healthcare innovations.

  • GE Healthcare
  • Epic Systems
  • Medtronic
  • Optum

These companies heavily rely on data for risk, fraud, and forecasting.

  • Mutual of Omaha
  • FNBO
  • Blue Cross Blue Shield
  • Physician’s Mutual
  • FiServ

All of these increasingly use data to streamline operations.

  • Union Pacific
  • Werner
  • Valmont
  • Conagra

Note: Nearly every large organization today needs BIA professionals — don’t limit your search to just “tech companies.” 

Skills Necessary

  • Soft Skills
    • Critical Thinking & Problem Solving
    • Communication Skills
    • Collaboration and Teamwork
    • Adaptability and Learning Agility
    • Attention to Detail
    • Ethical Judgment & Integrity
    • Business Acumen
  • Data & Statistical Skills
    • Predictive Modeling/ Machine Learning
    • Data Cleaning & Wrangling
    • Data Visualization

Hard Skills

  • Software & ToolsMicrosoft Excel
    • Tableau/ Power BI
    • SQL
    • Google Analytics
  • Data & Statistical Skills
    • Predictive Modeling/ Machine Learning
    • Data Cleaning & Wrangling
    • Data Visualization

Most entry-level roles do not require you to be an expert in every area. Many internships and junior roles are designed to help you build and apply these skills on the job. Employers value willingness to learn, so building a solid foundation and showing applied experience (e.g., class projects, case competitions, internships) goes a long way.

Career Resources / Upskill

Recruiting Timeline

Internships

Recruiting for internships in tech and data typically begins early in Fall semester. Many large companies—such as those in tech, finance, and consulting—open applications in August or September, with interviews occurring throughout the fall semester. These roles often fill quickly, so students interested in competitive or well-known employers should plan to apply early in the fall. Students should network the prior spring and summer in anticipation of applying for these roles.

As the large company recruitment winds down, mid-size and regional companies tend to post internship opportunities a bit later, with openings continuing into the winter and early spring. Internships will continue to open throughout the spring with a greater emphasis on Startups and small organizations. For sophomores, early talent or “exploratory” programs may be available, although most internships are designed for juniors.

Full-Time Opportunities

Full-time recruiting for seniors often mirrors the internship timeline, with many organizations preferring to extend return offers to former interns. Job postings for entry-level roles typically begin in late summer and continue into the fall semester. However, not all employers hire this early—many smaller organizations, nonprofits, and startups begin their hiring in the spring, closer to graduation. This means it’s important to be proactive in the fall, but also to stay engaged in the job search throughout the entire academic year.

Meet with a Career Advisor to learn more about the recruitment process, prepare an industry-specific resume, and learn how to connect with professionals.

  • Data Analyst Intern
  • Business Intelligence Intern
  • Business/Data Analytics Intern
  • Product Analyst Intern
  • Insights Analyst Intern
  • Data Solutions
  • Automation Intern
  • Supply Chain Intern
  • Compliance Intern
  • IT analytics Intern
  • Data warehouse Intern
  • Business Intelligence Intern
  • Technology Consulting Intern
  • Business Systems Analyst Intern
  • IT Business Analyst Intern
  • Operations Analyst Intern
  • Marketing Analyst Intern (with data/BI focus)
  • Financial Analyst Intern (with data/BI focus)
  • Data Science Intern
  • Data Engineering Intern
  • Software Development Intern (for those with CS/Tech blend)
  • Risk/Data Modeling Intern (common in insurance/finance) 
  • Analyst Roles
    • Data Analyst
    • Business Analyst
    • Business Intelligence Analyst
    • Operations Analyst
    • Risk advisory analyst
    • Product Analyst
    • Insights Analys
    • Reporting Analyst
    • Business intelligence analyst
    • Marketing/Financial Analyst (with SQL/BI tools)
  • Tech-Oriented Roles
    • Data Engineer (Entry-Level or Associate)
    • Data Scientist (Associate/Junior)
    • Business Systems Analyst
    • Technology Analyst (Consulting firms like Deloitte, Infosys, Capgemini)
    • IT/ERP Analyst
    • IT Associate
    • IT Consultant
    • CRM Analyst (Salesforce, HubSpot)
  • Rotational & Development Programs
    • Analytics Development Program
    • Technology Leadership Program
    • Digital/Innovation Rotational Associate
    • Corporate analyst program
    • Business & Data Strategy Analyst (common in consulting or Fortune 500s)
    • Data Analyst
    • Business Intelligence Analyst
    • Product Analyst

Student Organizations

Volleyball Analytics: Recruitment usually happens early spring semester. Keep your eyes out for an email from club leaders to learn more.

Community Analytics Consulting team – Chat with BIAA leaders to learn more!

Applied AI organization - Chat with BIAA leaders to learn more!
 

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