Senior BI Analyst - Speech Analytics & Data Insights

Royal caribbean international; Philippines; On-site; PHP 600,000 - 900,000; Full time

Job summary

Royal Caribbean Group is seeking a Speech Analyst for its Contact Center Analytics Team in the Philippines. The role focuses on transforming structured and unstructured data into actionable insights through SQL queries and dashboards.

Responsibilities include building self-serve reports, monitoring analytics, and communicating findings to both technical and non-technical audiences. Prior experience with NLP, AI, and conversational data is valuable.

Qualifications

• Generates data products such as custom queries and dashboards.
• Understands data analytics techniques and caveats of data.
• Translates business problems into data/technical solutions.
• Reads and writes complex SQL queries.
• Builds dashboards and reports.
• Analyzes complex data to derive insights.
• High proficiency in reading/writing English.
• Analyzes natural language and unstructured data.
• Familiar with speech analytics systems and tools.

Responsibilities

• Analyze structured and unstructured data to guide business strategies.
• Build reporting and analytical tools for non-technical users to self-serve.
• Create automated monitoring and alerts on analytical reports to identify issues.
• Suggest features, technologies, and process changes to reach business goals based on data.
• Present findings to technical and non-technical audiences.
• Perform cost/benefit and ROI analysis to determine prioritization.
• Evaluate AI technology for performance, impact and shortcomings.

Skills

SQL

Dashboards

Data analytics

NLP

Data storytelling

English proficiency

Tools

PowerBI

Databricks

Job description

Royal Caribbean Group is seeking a Speech Analyst for its Contact Center Analytics Team in the Philippines. The role focuses on transforming structured and unstructured data into actionable insights through SQL queries and dashboards.

Responsibilities include building self-serve reports, monitoring analytics, and communicating findings to both technical and non-technical audiences. Prior experience with NLP, AI, and conversational data is valuable.