Data Visualization Engineer-1
AIA Australia
Taguig, PH
2d ago

Bring your career aspirations to life with AIA!Responsible for supporting specific functional / business areas in terms of information system needs Perform full lifecycle of data analyst activities include conceptualization to operationalization.

Provide critical thinking to look at numbers, trends, and data to generate insights source data profiling and analysis. Define data sources and requirements, design and implement processes and model for complex, large-scale datasets that is used for modelling, data mining, and other purposes Use Business Intelligence Tools / Tableau / PowerBI / Excel to design analytics dashboards for management.

Develop dashboard visualizations, metrics, KPI Design and develop reports / dashboards / analytic outputs for different business units Support ad-hoc requests on reporting needs.

Support initiatives running in the data analytics organization which may include design / development of data engineering technical stack or modeling by data science team.

GENERAL QUALIFICATIONS : Innovative, proactive, creative, well-organized and able to easily adapt to various technologies Great interpersonal skills and excellent oral and written communication skills.

Able to manage work with internal stakeholders and vendors. Willingness and desire to learn new environment and tools and advance your knowledge.

Keeps up to data with new research and integrated applications in the area of data science. Able to work with loosely defined requirements and exercise analytical skills to clarify questions, share methodology / approach, and build / test solutions.

TECHNICAL QUALIFICATIONS : Strong dashboard / report production experience in Tableau or PowerBI. Comfortable working in Excel using Pivots.

Knows Web Application development and D3.js is a plus. Strong SQL, data querying, and data analysis skills Must have understanding of how to interpret customer business needs and translate them into application and operational requirements.

Experience working with diverse set of data sources and off-the shelf / enterprise / bespoke applications Experience with Python and machine learning is a plus.

Knowledge / Experience with statistical modeling is a plus. Build a career with us as we help our customers and the community live healthier, longer, better lives.

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