Junior Actuarial Data Analyst

Capgemini Hong Kong Limited
Hong Kong, HK
On-siteCareer-pivot friendly

Why this role

Pace
Steady
Collaboration
Medium
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Development and generation of reports
  • Troubleshooting and resolution of data process issues
Typical background
Graduate or advanced degree in quantitative subjects1-3 years of experience in data analytics

Transferable backgrounds

  • Coming from Data Analyst
  • Coming from Financial Analyst

Skills & requirements

Required

Data AnalyticsPythonData Extraction

Preferred

DatabricksPower BIAlteryx

Stack & domain

PythonRDatabricksPower BiAlteryxAzureAWSAnalytical ReasoningFinance

About the role

Original posting from Capgemini Hong Kong Limited via Indeed

Job Description

Design and implement end-of-the-end data solution to maintain existing Actuarial and Finance data

Consolidate and simplify existing data processes

Support data extraction and data analytics

Develop and generate reports for end-users of data process

Troubleshoot and resolve data process issues

Qualification

Graduate or advanced degree qualifications in quantitative related subjects.

1-3 years of relevant working experience in data analytics field as data analyst / data scientist is preferred.

Solid experience in scripting/programming languages like Python, R.

Experience in Databricks, Power BI, Alteryx, Cloud solutions such as Azure, AWS would be an advantage.

Strong analytical reasoning and data orientation.

Previous exposure to / knowledge of the finance industry will be an asset

Full-time

Source: Capgemini Hong Kong Limited careers (Indeed)

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