обновлено 8 часов назад
BI Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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