Data Analyst
Pasay, PH, 1300
Royal Caribbean Group
Position summary:
The Contact Center Analytics & Solutions team is seeking a Data Analyst who will be responsible for delivering impactful insights into key business decisions and supporting projects/building tools that empower our end users to work efficiently. The right person for this role has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a great communicator, and is passionate about our end user experience.
Essential Duties and Responsibilities:
- Conduct analysis to drive valuable business insights, using internal analytics tools, ie SQL to access and manipulate from disparate data sources
- Build intuitive presentations, interfaces, infographics, and data visualizations to tell stories with data that convey key performance metrics, significant trends, and relationships across contact centers
- Analyze user behavior to identify patterns, uncover opportunities and create a common understanding how people are interacting with our reporting content
- Ideate and develop new metrics and analytical approaches, measuring performance for both tactical and strategic decision-making for contact centers
- lead projects and requests from end-to-end, defining business needs, developing strategies, and solutions that empower internal teams operate efficiently
- spearhead ongoing efforts to better understand sub growth and identify future opportunities through analysis and reporting
Qualifications, Knowledge, & Skills:
- Degree in Computer Science, Mathematics, Statistics, Industrial Engineering, Operations Research or MS in Business Analytics or 2 years industry experience in a related field
- 2+ years experience with any of the following programming languages: R, Python, SAS or similar scripting languages.
- 2+ years experience with predictive and forecasting techniques and tools including time-series analysis (Autocorrelation plots, ARIMA / ARIMAX, Vector Auto Regressions, Recurrent Neural Networks), machine learning model development (grid searching, cross validation, parameter tuning & optimization), and appropriate model evaluation (ROC analysis, confusion-matrices, error rate logging)
- 2+ years of relevant work experience in analytics and/or business intelligence or related field
- Strong analytical skills – with a proficient ability to read/write complex SQL queries for data analysis
- Experience with data visualization tools (Tableau, Powerbi, etc.) and strong storytelling skills for technical and non-technical audiences
- MS office tools ie Word, excel, PowerPoint, Access
- Strong and effective communication, presentation and written skills and ability to work in global environment
- Experience collecting internal customer feedback and requests, empathizing with their challenges and opportunities
- Collaborative, self-motivated with a desire to lead strategic problem solving, execution and ownership
- Understanding of data warehousing concepts, relationship entity diagrams and relational databases
Nice-to-haves
- CSPO Certification and formal understanding of Agile Scrum practices
- Other programing knowledge skills (Python)
- Other applications such as Oracle, Hyperion, AS400 or equivalent mainframe system
- Familiarization with Contact Center environment
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Business Analytics Business Intelligence Computer Science Data analysis Data visualization Data Warehousing Engineering Excel Industrial Machine Learning Mathematics ML models Oracle Power BI Python R RDBMS Research SAS Scrum SQL Statistics Tableau
Perks/benefits: Career development
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