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2 часа назад

Business Intelligence Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Business Intelligence Engineer (AI): Building data models, scripted pipelines, dashboards, and reports that turn product, operational, and security data into decision-ready insight with an accent on data quality, provenance, and reliable validation. Focus on reconciling changing source systems, testing pipelines under realistic failure conditions, and communicating verified findings to business stakeholders.

Location: Hybrid role based out of the Las Colinas office in Irving, Texas, with in-office presence required 3 days per week.

Company

TrendAI is hirify.global's AI security business unit, providing AI visibility and consolidated security solutions for organizations.

What you will do

  • Write and maintain SQL queries, data models, transformations, scripted extraction and transformation pipelines, dashboards, and recurring reports.
  • Translate business questions into technical requirements with analysts, engineers, product partners, and business stakeholders.
  • Reconcile data across sources, investigate discrepancies, validate accuracy, and monitor data quality.
  • Document data provenance, metric definitions, confidence levels, and discrepancies; treat missing or failed data as unknown rather than confirmed zero.
  • Test pipelines under realistic volumes, rate limits, and source failures; contribute to code review, version control, documentation, and team standards.
  • Support ad hoc analysis, prioritize requests, communicate outcomes on time, and develop toward end-to-end dataset ownership.

Requirements

  • Background in computer science, data science, statistics, information systems, business analytics, or a related field.
  • Working proficiency in SQL, including joins, aggregations, and window functions.
  • Understanding of data modeling concepts such as dimensional modeling and star schemas through coursework, projects, or internships.
  • Familiarity with at least one data visualization tool.
  • Ability to verify outputs against independent sources and explain how the work was checked.
  • Comfort working with poorly documented or changing source systems, including inspecting web application behavior or undocumented APIs.
  • Experience using AI tools in analysis work while independently validating their output.
  • Strong analytical, problem-solving, attention-to-detail, written communication, and verbal communication skills, including explaining findings to non-technical audiences.
  • Must be authorized to work in the United States without current or future employment-based visa sponsorship.

Nice to have

  • Internship or project experience building dashboards, reports, or data pipelines.
  • Python scripting for data extraction, validation, or automation.
  • Exposure to data quality checks, testing, or audit-trail practices.
  • Exposure to cloud data warehouses such as Snowflake, BigQuery, or Redshift, or transformation tools such as dbt or Airflow.
  • Interest in cybersecurity, cloud, or AI products and the data they generate.

Culture & Benefits

  • Medical, dental, vision, life, disability, and pet insurance options.
  • Pre-partum, maternity, parental, and medical leave; paid time off and 14 annual holidays.
  • 401(k) with company match, tuition assistance, adoption assistance, wellness incentive, and mental health wellness program.
  • Competitive compensation with a bonus opportunity tied to company performance.
  • Ongoing learning, broad technological opportunities, team activities, employee resource groups, and an emphasis on work-life balance, equity, inclusion, and collaboration.

Hiring process

  • Apply for the hybrid Irving, Texas role only if authorized to work in the United States without requiring employment-based visa sponsorship now or in the future.

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