Data Insights Specialist: Dashboards & Predictive Analytics

Vinova Pte. Ltd.

Singapore

On-site

SGD 60,000 - 90,000

Full time

5 days ago
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Job summary

Vinova Pte. Ltd.

is seeking a Data Analyst to collect, process and analyse data, prepare reports and visualisations, and work with project teams to turn business requirements and data findings into practical solutions. The role involves collaborating with internal teams to translate requirements into technical solutions, developing dashboards and KPIs, and applying statistical methods to predict business outcomes while ensuring data quality and ethical handling of information for diverse

Qualifications

  • Bachelor’s degree in data-related field.
  • Proficiency in SQL, Python or R, and data visualization tools.
  • Knowledge of statistical analysis, data modelling, cleaning and validation.
  • Ability to communicate analytical findings to stakeholders.

Responsibilities

  • Evaluate opportunities to improve client reporting and internal workflows using data analytics and digital tools.
  • Collaborate with internal teams to translate business requirements into technical solutions.
  • Meet stakeholders to gather and document data/reporting requirements and determine success measures.
  • Develop and maintain dashboards, KPIs, and reports to provide business insights.
  • Apply statistical methods and algorithms to develop predictive models for business metrics.
  • Design and implement data models to predict outcomes and trends.
  • Identify process inefficiencies and suggest data-driven improvements for optimization.
  • Ensure data accuracy and integrity through cleaning, validation and verification.

Skills

Analytical thinking
Communication

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics or related field

Tools

SQL
Python
R
Power BI
Tableau

Job description

Vinova Pte. Ltd.

is seeking a Data Analyst to collect, process and analyse data, prepare reports and visualisations, and work with project teams to turn business requirements and data findings into practical solutions. The role involves collaborating with internal teams to translate requirements into technical solutions, developing dashboards and KPIs, and applying statistical methods to predict business outcomes while ensuring data quality and ethical handling of information for diverse

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