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Talentvis Hiring! Full Time Data Analyst in - Ricebowl

Undisclosed

Singapore

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Working Location

  • Singapore

Job Description

Responsibilities

We are looking for a data-driven and commercially minded analytics professional to partner closely with cross-functional teams across Product, Business, Engineering, Design, and Data Science.


In this role, you will leverage data to drive strategic decision-making, uncover business opportunities, evaluate new product ideas, and deliver actionable insights that improve business performance and customer experience.


Key Responsibilities

  • Partner with stakeholders to understand business goals and translate them into data-driven solutions and recommendations.
  • Conduct deep-dive analysis across products and operations to identify trends, define key metrics, and drive continuous improvements.
  • Analyze business scenarios and identify opportunities for new products, features, or process enhancements.
  • Develop dashboards, reports, and presentations to communicate insights clearly to both technical and non-technical stakeholders.
  • Consolidate and transform data from multiple sources to support strategic decision-making.
  • Build and maintain data pipelines and analytical models to solve business challenges.
  • Design and execute A/B tests, experimentation frameworks, and causal inference studies to evaluate business impact and support product decisions.


Requirements

  • Minimum 4 years of experience in analytics, data science, or other quantitative roles within consumer-facing industries such as eCommerce, marketplace platforms, retail, or digital businesses.
  • Strong proficiency in SQL and at least one programming language such as Python or R.
  • Hands-on experience working with large datasets, ETL processes, and statistical analysis.
  • Experience designing and analyzing experiments, including A/B testing methodologies.
  • Strong problem-solving skills with the ability to work independently in ambiguous environments.
  • Experience building dashboards and data visualizations using tools such as Power BI or Tableau.
  • Excellent stakeholder management and communication skills, including the ability to influence senior business leaders.

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