Data Analyst (Power BI)
Arch Global Services View all jobs
- Cebu
- Permanent
- Full-time
- Automation Initiatives: Identify opportunities and lead efforts to automate IA and SOX activities, with an orientation towards reducing manual effort and enhancing coverage and accuracy.
- Data Analytics & Insights:
- Utilize data analytic tools, programming languages, and big data technologies to identify, extract, transform, and analyze complex datasets for audit and SOX purposes.
- Identify trends, patterns, and anomalies, and translate these insights into actionable recommendations for the IA team and / or stakeholders.
- Data Visualization: Design and create compelling data visualizations to facilitate decision-making and communicate findings effectively for both technical and non-technical audiences.
- Modeling & Forecasting: Apply statistical and machine learning techniques to build predictive models.
- Training & Knowledge: Stay current with the latest analytics trends, tools, and best practices.
- Ad-Hoc Analysis: Respond to requests for specific analyses, as needed.
- Team Collaboration: Partner with IA team members and other stakeholders across the organization to understand their analytics needs and deliver tailored solutions.
- Experience with Power BI and SQL
- Strong analytical mindset with excellent problem-solving abilities and keen attention to detail.
- Proactive mindset for innovating new solutions, improving existing approaches, and challenging status quo.
- Collaborative team player with a commitment to achieving excellence.
- Strong written and verbal communication skills
- Experience with Alteryx, Snowflake, or programming languages such as Python.
- Experience with data engineering and the architecture of ETL processes, data pipeline development, and data management.
- Experience with business analysis including stakeholder engagement, identifying requirements, and recommending solutions.
- Familiarity or experience working within Agile environments.
- Previous insurance industry experience, ideally within a global firm
- Willingness and ability to adapt to new circumstances, information, and challenges
- Bachelors degree in Data Science, Statistics, Computer Science, or a related field with meaningful coursework in research methods, statistics, programming, or a related field.
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