Total 2 data entry job vacancies in tampines singapore

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 WE ARE LOOKING FOR... A Data Governance Consultant who will be responsible in driving the development and execution of Data Strategies and Data Governance initiatives of AIA Singapore. WHAT YOU'LL BE DOING Plan the development and execution of Data strategies that supports the Enterprise Data roadmap and Govern and set the future enhancement strategy on AIA's enterprise data warehouse by working with the data owners & champions across the business. Form best practices on data management via the Data Governance Framework and work with IT and data owners/champions to roll out across the organization. Execution of Data Quality assessment for key systems and critical data elements and Implementation of Data Governance tools like metadata management, reference data management, master data management and data quality. Own the approach and structure to the data model in EDW by structuring it to the business needs. Set and execute strategies that will incrementally improve data quality, consistency, currency and completeness and eliminate redundancy. Oversee governance of data quality through fit-for-purpose data quality reporting to the Data Management Council. Build and maintain strong and effective relationships with key internal and external business stakeholders to ensure that data meets the expectation of key business stakeholders. Collaborate with IT to develop data infrastructure and architecture strategies that promote data quality, seamless data sharing and data accountability. WHAT WE ARE LOOKING FOR You are able to adapt to dynamic environments and manage multiple stakeholders. You also have: A Bachelor's degree and above in Analytics, Information Systems Management, Computer Science or related fields. At least 5 - 8 years of experience in data governance master data management, data quality related projects. Expertise on any of the Data Governance related tool namely Data360. Hands-on experience in SQL, Alteryx, Tableau or BI Tool is ideal. Knowledge of Data Catalog tool will be a plus. Ability to thrive in a fast paced, highly challenging environment. Proven and demonstrable ability in implementing business intelligence and reporting frameworks to influence and drive management decisions on strategies. Sound knowledge to manipulate and analyze complex, high-volume and high-dimensionality data from various sources. Good understanding of design and architecture principles. A strong work ethic as a team player who is detailed and deadline oriented, with. Excellent verbal, written communications (English) and presentation skills. Strong analytical, problem solving and critical thinking skills. Strong project management skills and ability to manage multiple priorities. #LI-SC1 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.

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 Responsible for changing AIA's analytics landscape by delivering best-in-class advanced data science solutions to drive business growth, improve efficiencies and reduce costs. WHAT YOU WILL BE DOING Design, implement and evaluate advanced statistical and machine learning models and approaches for application to various business problem statements. Communicate findings from analytical modelling results to relevant stakeholders that will give insights to improve decision making and drive business performance. Implement machine learning models into production systems through proper MLOps practices and collaborating with relevant stakeholders. Develop processes and tools to monitor & analyse model performance, incorporate Responsible & Explainable AI and implement improvements as needed. Provide support in building the foundation of technical analytics capabilities within Enterprise Analytics department, including sharing of best practices for coding, modelling, and analysis within the team. Drive analytics innovation by keeping abreast of industry's trends, evaluating, and adapting new and improved data science approaches for the business. Develop in depth understanding of the business and be able to advise the business on the technical solutioning by participating in business discussions and presentations as applicable. WHAT YOU WILL HAVE Bachelor's degree ideally in STEM disciplines (Science, Technology, Engineering, Math); graduate degree in Economics, Statistics, Applied Math, Data Science, or another related quantitative field is preferred. Minimum 4 years of relevant hands-on experience in analytics/data science. Experience in Python/R for data analysis, visualization, and insight generation. Experience handling large datasets using advanced SQL/Spark based Big-Data technologies. Knowledge of Databricks is a plus. Experience with Business Intelligence tools (e.g. Tableau), Excel, PowerPoint. Experience in maintaining Machine Learning production systems and MLOps. #LI-SC1 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.