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BI Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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
BI Engineer (Power BI/AI): Building and enhancing scalable Power BI reporting environments, semantic models, dashboards, and measurement frameworks with an accent on DAX, data warehousing, and stakeholder-focused analytics. Focus on optimizing reporting performance, validating data quality, and operationalizing generative AI capabilities to improve analytics workflows and user productivity.

Location: Hybrid in Dallas, TX; Austin, TX; or Toronto, ON. Work up to three days per week in the office and remotely on the remaining days.

Company

hirify.global is a cybersecurity company developing solutions and services for identity protection and resilience.

What you will do

  • Design, develop, and maintain Power BI dashboards, scorecards, executive reports, semantic models, and datasets.
  • Create and optimize complex DAX measures, KPIs, calculations, and business logic.
  • Establish Power BI development standards, governance processes, and reporting best practices.
  • Partner with business stakeholders and data warehouse engineers to define requirements, metrics, and actionable analytics.
  • Monitor report performance, refresh processes, adoption metrics, data quality, and validation results.
  • Identify and implement AI and generative AI use cases that improve analytics workflows and user productivity.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering, Analytics, or a related field.
  • 5+ years of experience designing and developing business intelligence solutions, including 4+ years of hands-on Power BI experience.
  • Advanced expertise in DAX, Power Query, and Power BI semantic modeling.
  • Strong understanding of dimensional modeling, data warehousing concepts, and analytical data structures.
  • Proficiency in SQL, dashboard testing and validation, and troubleshooting reporting solutions.
  • Effective communication with technical and business audiences, strong analytical skills, and experience using AI tools in analytics workflows.

Nice to have

  • Experience with Snowflake, dbt, and modern cloud data platforms.
  • Familiarity with Python for analytics and automation.
  • Experience with AI-driven insights, forecasting, anomaly detection, or natural language analytics.
  • Understanding of responsible AI, data governance, and data privacy best practices.

Culture & Benefits

  • Work with a global team focused on cybersecurity innovation.
  • Employee experience centered on purpose, growth, support, and balance.
  • Hybrid work model with up to three office days per week.
  • Culture emphasizing curiosity, integrity, initiative, and work-life balance.

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