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Data Analytics Manager

4 months ago

Ho Chi Minh City, Vietnam Prudential plc Full time

Prudential's purpose is to help people get the most out of life. We will deliver our purpose by creating a culture in which diversity is celebrated and inclusion assured, for our colleagues, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and in exchange, we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow and Succeed.

Work with the largest life insurance company in Vietnam as Data Analytics Manager. Harness the data generated from sales and transactions to 1.4 million existing customers, 1.8 million policies and from activity of hundred thousands of sales agents, develop insights that can be translated into actions that drive business growth at different areas (Agency/Partnership Distribution, Product Development, Operations, Customer service, Fraud detection)

Opportunity to be part of one of the most prestigious insurance businesses globally, to turn big data into actions and to interact with every function to develop an in-depth knowledge of the business.

This role is perfect for someone who has solid analytics experience and is always curious and passionate to uncover insights to get our business off the ground

Job Responsibilities: include but not limited

Data analytics:

- Mine and analyze data from company and third-party databases (if & where applicable) to drive optimization and improvement of key business / operations metrics
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Managing and designing the reporting environment, including data sources, security, and metadata
- Supporting the data warehouse in identifying and revising reporting requirements
- Supporting initiatives for data integrity and normalization
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
- Helping develop reports and analysis from single or multiple systems using BI (Business Intelligence) tools such as PowerBI, Qlik, Tableau etc
- Coordinate with different functional teams to implement models and monitor outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work with analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition / retention, distribution channel performance & optimization, operational efficiency and other key business performance metrics that can lead to transformation initiatives that can drive superior customer experience
- Processing confidential data and information according to guidelines

Risk Management:

- Be responsible & accountable for planning/execution of business objectives in conformity with risk management requirements and compliance with all internal and external regulations
- Ensure that data usage, management, production & analysis is done in accordance with Risk & Compliance guidelines

Job Requirements:
Qualification: Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field; a Master’s is a plus, Formal data analytics / data science certification (e.g IBM Data Science Professional Certificate, Amazon AWS Certified Big Data, Microsoft AZURE Big Data and Analytics Certification etc) is a plus Experience / Knowledge 5 to 7 years’ experience in manipulating data sets and building data reports, BI & statistical models as a data analyst or in a similar role, hands-on experience using the following software/tools:

- Experience visualizing/presenting data for stakeholders using: PowerBI
- Demonstrated experience in handling large data sets and relational databases and using statistical computer languages: SQL, SAS, Python, R, etc.
- Experience working with Azure Databricks and advance level of MS Office (Excel, Access, PPT).
- Knowledge and experience in Life Insurance is added value
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. is added advantage
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc will be added advantage
- Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, regression, simulation, scenario analysis, modeling, clustering etc will be an added advantage.
- Coding knowledge and experience with several languages: C, C++, Java, Javascript etc will be an added advantage

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

A successful hist