Data Analyst

Full Time
Singapore
Posted
Job description

4 Shenton Way, SGX Center 2 , Singapore, Singapore, Singapore

Department
Business Analytics
Job posted on
Aug 21, 2022
Employment type
Permanent - Full Time
Experience range
0 - N.A.

Singlife with Aviva is a leading homegrown financial services company, offering consumers a better way to financial freedom. Through innovative, technology-enabled solutions and a wide range of products and services, Singlife with Aviva provides consumers control over their financial wellbeing at every stage of their lives. In addition to a comprehensive suite of insurance plans, employee benefits, partnerships with Financial Advisor channels and bancassurance, Singlife with Aviva offers investment solutions through its dollarDEX and Navigator platforms.

The mobile-first Singlife Account – with a Singlife Debit Card – allows customers to save, spend, earn and be insured all in one app. Singlife with Aviva was formed by the merger of Aviva Singapore and Singlife. First announced in September 2020 and valued at S$3.2 billion, it was the largest insurance deal in Singapore at the time and created one of the largest homegrown financial services companies in the republic.

Responsibilities:
    Perform descriptive analytics for customer, advisor, sales channels
    Identify source of data and work with Data Engineers to create datasets for analytics projects
    Manage Internal stakeholders’ expectations
    Identify trends, draw insights from data, and present to internal stakeholders
    Design dashboard for operation effectiveness
    Performs other duties as assigned by immediate supervisor

Experience:
    Familiar with SQL, Python, R
    Familiar with AWS environment (S3, Glue, SageMaker, Airflow)
    Familiar with Snowflake
    Good understanding of data structure, database and data modeling
    Familiarity with deploying production scripts and version control
    Good to have: basic understanding of machine learning

Education:
    Bachelor’s degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or Simi

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