Data Analyst
Sciente International
51 Changi Business Park Central 2,#09-06 The Signature, Singapore 486066
6h ago

An exciting opportunity to build your career in Data Science platform to build the application and data teams to develop machine learning models for a well-

established client in Singapore.

Mandatory Skill(s)

  • Bachelor’s Degree, preferably in a field of Applied Statistics, Math, Economics or Analytics related qualifications;
  • At least 2 years of work experience in Data Analytics / Advance Analytics, business analysis;
  • Hands-on experience working on large data sets and able to solve problems through analytics driven insights;
  • High proficiency in SQL,Oracle ,MySQL and Business Intelligence tools such Tableau / Power BI;
  • Good working experience in statistical programming languages such as Python, R, SAS, machine learning;
  • Has a strong aptitude for numbers, comfortable handling large volumes of data and carried out A / B testing;
  • Strong foundation in statistical tools for analyzing datasets such as Microsoft Excel, SPSS, MatLab;
  • Ability to visualize data and create business impacts;
  • Strong analytical, problem solving, and communication skills;
  • Independent, proactive and able to work within high pressure environment.
  • Desirable Skill(s)

  • Experience in R or Python;
  • SAS or Analytics certification.
  • Responsibilities

  • Work on advanced data analytics and data science projects as well as support business units to analyze large-scale structured and unstructured data;
  • Explore advance analytical methods like Machine Learning to analyze business problems and solutions;
  • Work with cross-functional teams to identify business opportunities, optimize operational process and deliver business insights;
  • Process, cleanse, and verify the integrity of data used for analysis;
  • Enhance data collection procedures to include information that is relevant;
  • Ensure proper documentation of processes, analytics design, measure definitions, data integration and development;
  • Develop reports, dashboards and visualizations using multiple data sources in Tableau or QlikView;
  • Champion Data Analytics driven activities within the team.
  • Apply
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