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Big Data Analyst

MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTD

Singapore

On-site

SGD 50,000 - 70,000

Full time

11 days ago

Job summary

A data analytics firm in Singapore is seeking a Data Analyst to join their data science team. The role involves analyzing game data, developing processing pipelines, and creating visual reports. Candidates should have a degree in Computer Science, at least 2 years of experience in data analysis and ETL, and familiarity with tools like Google Analytics and Tableau. This is a great opportunity for those passionate about data and analytics.

Qualifications

  • At least 2 years of experience in data analysis/data warehouse/mart development.
  • Experience in ETL processing data.
  • Good understanding of relevant best practices for performance tuning.

Responsibilities

  • Complete game data analysis with a data science team.
  • Develop data processing pipelines for modeling and reporting.
  • Assist in engineering development and data maintenance.

Skills

Data analysis
Python
SQL
ETL processing
Data visualization

Education

Degree in Computer Science or related technical field

Tools

Google Analytics
Tableau

Job description

Job Responsibility:

  • Work with data science team to complete game data analysis, including data logic combing, basic data processing, analysis and corresponding development work.
  • Complete basic data analysis, machine learning analysis, and build the required data processing flow, data report visualization.
  • Develop data processing pipelines for data modelling, analysis, and reporting from large and complex transaction datasets
  • Ability to assist in supporting engineering development, data construction and maintenance when required.

Requirements:

  • Degree in Computer Science or related technical field
  • At least 2 years of experience in data analysis/data warehouse/mart development and BI reporting.
  • At least 2 years of experience in ETL processing data.
  • Good understanding of Python, SQL, HiveQL/SparkSQL and the relevant best practices/techniques for perf tuning, experience deploying models in production and adjusting model thresholds to improve performance is a plus.
  • Familiarity with data visualization tools, such as Google Analytics or Tableau.
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