3 дня назад
Business Intelligence Analyst - Mid (Power BI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Business Intelligence Analyst - Mid (Power BI): Developing and enhancing reporting solutions for actuarial teams with an accent on Power BI, semantic models, automated testing, and CI/CD pipelines. Focus on validating report outputs, improving reporting data models with data engineering teams, and aligning analytics practices with governance and compliance requirements.
Location: PHL-Manila, Philippines
Company
supports insurance and actuarial operations through collaborative, analytical, and technology-driven services.
What you will do
- Partner with actuarial teams to identify reporting priorities and deliver actionable reporting solutions.
- Develop and enhance reports, data visualizations, and semantic models using Power BI and Microsoft Power Platform tools.
- Build and maintain automated testing workflows in cloud environments and scalable CI/CD pipelines using Git-based workflows.
- Validate report outputs with QA teams and maintain documentation for internal use and user acceptance testing.
- Partner with data engineering and IT teams to improve reporting data models, architecture, governance, and compliance.
Requirements
- At least 2 years of experience developing reports in Power BI.
- At least 5 years of experience building reports and dashboards with visualization tools such as Power BI, QlikView, or Tableau.
- Experience supporting analytics or actuarial functions, preferably in an insurance environment.
- Strong analytical thinking, problem-solving skills, and the ability to troubleshoot technical challenges independently.
- Bachelor’s degree in statistics, mathematics, information technology, computer science, business analytics, data analytics, or equivalent experience.
Nice to have
- Familiarity with SQL, Snowflake, Python, Streamlit, or Sigma.
Culture & Benefits
- Collaborative environment focused on expertise, innovation, and continuous learning.
- Opportunities to modernize actuarial reporting capabilities and adopt emerging technologies.
- Cross-functional collaboration with actuarial, data engineering, QA, and IT teams.
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