Business Analytics and Strategy Specialist
PH-BPL Head Office, Philippines
AIA
AIA provides insurance solutions to both individuals and businesses. Find out more about our services and latest updates.At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About the Role
Processes data from various sources, ensuring timely data uploads and consistently monitoring data quality and accuracy. The incumbent will also develop automation solutions for data ingestion and report deployment in coordination with the Sales, Incentives, and Segments TeamsOther activities which you will be engaged on include:
• Builds dashboards, reports, and create data presentations.
• Builds processes and tools to govern data analytics across BPI AIA.
• Assesses and learns data engineering tools and data visualization tools.
• Trains and educates the organization as we transform towards a data-driven organization.
• Assesses and improves algorithms build by other data analytics and data scientist resources.
• Aligns with AIA PH Analytics Team on projects, methodologies, etc.
Roles and Responsibilities:
- Develops and maintains automated data cleaning and processing solutions to ensure timely uploads to the server for the analytics team’s use.
- Conducts audits to ensure the completeness and accuracy of data from multiple sources.
- Builds visualization and dashboards through PowerBI or Python.
- Suggests solutions for efficient data ingestion and storage.
- Performs regular audits of database access and changes.
- Serves as the primary contact for data-related projects in BPI AIA.
Minimum Job Requirements:
GENERAL QUALIFICATIONS:
- Innovative, proactive, creative, well-organized and able to easily adapt to various technologies.
- Strong analytical skills and logical reasoning; attention to details; process-oriented.
- Great interpersonal skills and excellent oral and written communication skills. Can present complex information in a clear and compelling manner.
- Comfortable in very fast-paced environment and transforming organization.
- Willing 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.
TECHNICAL QUALIFICATIONS:
- Bachelor’s Degree in Statistics, Mathematics, Data Science, Computer Science or a related discipline with 3 years + experience in data/computational focus.
- Experience using programming languages such as Python, SQL
- With experience in SQL data modeling and database management.
- Experience using visualization tools such as Tableau, PowerBI.
- Background in handling big data. Strong track record of manipulating, processing, and extracting data from large databases.
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Business Analytics Computer Science Data Analytics Data quality Data visualization Engineering Mathematics Power BI Python Research SQL Statistics Tableau
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.