TrendAI™, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk.
At TrendAI™, we’re always seeking exceptional talent; people who want to collaborate with the best and push boundaries together. Here, your work goes beyond building a career. You will help protect what matters and play a vital role in shaping a safer, more trustworthy AI-powered future.
AI Fearlessly.
Location: This is a hybrid role based out of our Las Colinas office and requires in-office presence 3 days per week.
Position Summary:
TrendAI is seeking an early-career Business Intelligence Engineer to join the team and turn product, operational, and security data into reliable, decision-ready insight. This role you be provided with close mentorship from experienced data and analytics engineers as you build your foundation in BI engineering. You will help build the data models, pipelines, and dashboards that business stakeholders rely on. You will learn how our data is structured, how it flows from source systems to reporting, and how small data issues can change a business decision.
What You'll Do:
- Write and maintain SQL queries, data models, and transformations that power dashboards and recurring reports.
- Build and maintain repeatable, scripted pipelines for extracting and transforming data, avoiding one-off manual steps that can't be rerun or audited.
- Build and maintain dashboards and reports for business stakeholders.
- Translate business questions into clear technical requirements, working with analysts, engineers, and product partners.
- Reconcile data across sources and document discrepancies rather than silently choosing one.
- Validate data accuracy, investigate discrepancies, and monitor data quality over time.
- Treat missing or failed data as unknown and flag it, so a gap is never reported as a confirmed zero or "none found."
- Record provenance, metric definitions, and confidence levels so stakeholders can tell verified figures from inferred ones.
- Test pipelines under realistic conditions (volume, rate limits, source failures) before committing to a design.
- Support ad hoc analysis requests and help prioritize them alongside planned work.
- Contribute to team standards for code review, version control, and documentation.
- Grow your skills on with a path toward owning datasets end to end.
- Proactively communicate to business stakeholders or request owner to make sure the outcomes deliver on time and on quality.
What You Should Have:
- Experience in computer science, data science, sta