Data Analyst - Insights & AI, Flexible Hours

Capgemini

Singapore

On-site

SGD 60,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Flexible work practices
40 hours of self-development yearly
Learning opportunities

Job summary

Capgemini Singapore is seeking a data analytics professional to build customer-centric dashboards from transaction data and external sources, and to design analytics frameworks for prospect targeting, wallet share analysis, propensity modeling, and campaign management.

The role also covers fraud pattern identification, data enrichment, and data quality governance, with exposure to Power BI, SQL, SAS, Python, and modern visualization tools.

Qualifications

  • Experience with PowerBI, SSIS, SSAS, data modelling and SQL.
  • Experience with Python, R or SAS for analytics.
  • Familiarity with big data, ML and predictive algorithms.
  • Knowledge of SQL and NoSQL databases.
  • Experience with data visualization tools like Tableau or QlikView.

Responsibilities

  • Prepare customer centric dashboards from transaction channels and external data sources.
  • Develop analytics framework for prospect targeting, wallet share analysis, propensity modeling and campaign management.
  • Identify fraud patterns to assure sales quality and prioritization.
  • Support data related projects including data enrichment and data quality governance.

Skills

PowerBI
SSIS
SSAS
Data Modelling
SQL
Paginated Reports
SAS
R
Python
NoSQL
Big Data
ML
NLP
Tableau
QlikView

Education

University degree in Computer Science Finance Statistics Mathematics or any other quantitative related discipline

Job description

Capgemini Singapore is seeking a data analytics professional to build customer-centric dashboards from transaction data and external sources, and to design analytics frameworks for prospect targeting, wallet share analysis, propensity modeling, and campaign management.

The role also covers fraud pattern identification, data enrichment, and data quality governance, with exposure to Power BI, SQL, SAS, Python, and modern visualization tools.

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