Senior Data Analyst

Traveloka; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading travel tech company in Singapore is seeking a Data Analyst to support decision-making and provide actionable insights. In this role, you will leverage data to drive recommendations that shape business strategies. Key responsibilities include designing data pipelines, building dashboards, and conducting analyses to enhance business understanding. The ideal candidate will have 4+ years of experience with SQL, R/Python, and BI tools. A background in a relevant field is preferred, and prior experience with statistical methods is a plus.

Qualifications

• Minimum 4 years of full-time data analyst experience.
• Minimum 4 years of hands-on experience with SQL, spreadsheets, and R/Python.
• Prior experience in conducting statistical experimentation or A/B testing is a plus.

Responsibilities

• Design, test, and collaborate on data pipelines.
• Build and disseminate dashboards for quick business performance insights.
• Analyze data to provide diagnostic insights for business understanding.

Skills

Data analysis

SQL

R

Python

Dashboarding

Communication

Education

Bachelor/Master's degree in Statistics, Mathematics, Physics, Computers/Informatics, Engineering, or Economics

Tools

Tableau

Looker Studio

Domo

Job description

Job De ion

We are seeking a Data Analyst who will serve as a key thinking partner for our business stakeholders and product management teams across of our business and product domains. In this role, you will leverage data to drive insights, support decision-making, and provide actionable recommendations that will shape the direction of our products and business strategies. Some of the key responsibilities that you will have are:

• Database: design, test, and collaborate with relevant parties (e.g Product Engineering, Data Engineering) to enable, extract, or enrich data/data pipeline.
• Reporting: design, build, and disseminate dashboards or other self-served data products to enable stakeholders get quick business performance, conduct data exploration, or derive quick insights.
• Analysis: design, perform, and disseminate de ive or diagnostic analyses with valuable findings and actionable insights to better understand the business.
• Experimentation: design, analyze, and disseminate experiments or causal-impact studies to test multiple hypotheses, variants, or initiatives and infer the best result(s) based on relevant success metrics.
• Modeling: design, develop, and collaborate with relevant parties (e.g Product Engineering, Machine Learning Engineer, Data Scientist) to deploy supervised or unsupervised models as per business needs to optimize business performance.

Job Requirements

• Passionate in data, analysis, or insights with high curiosity and skepticism.
• Good communication, presentation, and storytelling skills to deliver data-inspired findings.
• Minimum 4 years of full time data analyst experience (open for prior experience in scientist and engineerr).
• Minimum 4 years of hands-on experience with SQL, spreadsheet, and R/Python.
• Minimum 4 years of dashboarding experience with BI or dataviz tools (Tableau, Looker Studio, Domo etc.).
• Prior experience in conducting statistical experimentation or A/B testing is a plus.Prior experience in developing unsupervised/supervised models is a plus.
• Prior experience in working on cloud platforms (GCP, AWS, Azure, etc.) is a plus.
• Bachelor/Master's degree majoring in Statistics, Mathematics, Physics, Computers/Informatics, Engineering, or Economics is a plus.