Data Insights Analyst: Dashboards & Forecasting

Recruit CRM

Singapore

On-site

SGD 60,000 - 85,000

Full time

4 days ago
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Job summary

Recruit CRM is seeking a Data Analyst to collect, analyze, and interpret data to support decision-making and provide insights across the organization. The role collaborates with Tech Marketing Engineers to drive data-driven decisions and optimize processes.

You will apply statistical methods to identify trends, patterns, and anomalies, generating actionable insights from various data sources, including calls, returns, and customer feedback.

Qualifications

  • A graduate degree in Mathematics, Statistics, Economics, Computer Science, or related discipline.
  • ~ 2 years of relevant work experience in data analytics, database management, statistical analysis, or related field.
  • Strong analytical and communication skills suitable for data-driven decision support.

Responsibilities

  • Perform data collection, analysis procedures and data insight visualizations for assigned projects.
  • Collect, record, and analyze data using established protocols; communicate findings to TME for review.
  • Generate actionable insights through analysis of metrics like Star Rating, NPS, calls and returns to drive improvements.
  • Utilize advanced analytical techniques to extract, clean, and analyze complex data sets from various sources.
  • Work independently on moderate scope problems following company policies and procedures.

Skills

Analytical thinking
Data storytelling
Decision support

Education

Graduate degree in Mathematics, Statistics, Economics, Computer Science

Tools

SQL
Python
R
SAS
Power BI
Tableau
ETL
Data modelling

Job description

Recruit CRM is seeking a Data Analyst to collect, analyze, and interpret data to support decision-making and provide insights across the organization. The role collaborates with Tech Marketing Engineers to drive data-driven decisions and optimize processes.

You will apply statistical methods to identify trends, patterns, and anomalies, generating actionable insights from various data sources, including calls, returns, and customer feedback.

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