Data Analyst

Traveloka; Jakarta Pusat; On-site; IDR 180,000,000 - 240,000,000; Full time

Job summary

Traveloka is seeking a Data Analyst to collaborate with Customer Care and stakeholders, turning data into actionable insights to improve performance, efficiency, and customer experience. You will build dashboards and data pipelines, and work with cross-functional teams to drive data-based improvements.

The role requires hands-on SQL, Python, and BI tool experience, plus cloud data pipelines and a strong business sense for customer care KPIs.

Qualifications

• Minimum 2 years of data analyst experience (open to data science background).
• Minimum 2 years of hands-on SQL, spreadsheet, and Python experience.

Responsibilities

• Leverage data to produce actionable insights to optimize customer care efficiency and reduce costs.
• Conduct deep-dive analyses to enhance customer experience.
• Develop and maintain dashboards and data pipelines tracking goals related to customer care operations and experience.
• Collaborate with Product, Engineering, and Operations to influence decisions with data-driven insights.
• Apply advanced analytics to identify trends, segmentation, and drivers of customer care performance.
• Stay updated on data analytics, AI, and LLM applications for customer care improvements.

Skills

Data analysis

SQL

Python

BI dashboards

Storytelling

Communication

Data pipelines

Cloud platforms

Education

Bachelor's or Master's in CS/Stats/DS

Tools

Tableau

Looker Studio

Job description

Job Description

Job ID: MJ000205

We are looking for a Data Analyst who will collaborate with our business stakeholders, supporting Customer Care product and operations. In this role, you will use data to drive improvements in customer care performance, efficiency, and business outcomes. You will play a key role in transforming raw data into actionable insights that shape business strategies, optimize processes, and enhance customer experience.

Key Responsibilities

• Leverage data to produce actionable insights independently that help optimize customer care efficiency, reduce operational costs, and improve customer satisfaction metrics.
• Conduct deep-dive analyses to enhance customer experience.
• Develop and maintain dashboards and data pipelines that track critical Goals related to customer care operations, performance, and customer experience.
• Collaborate with cross-functional teams including Product, Engineering, and Operations to influence decision-making and drive data-based innovation in customer care strategies.
• Apply advanced analytical techniques to identify trends, customer segmentation, and key drivers of customer care performance.
• Stay up to date with advancements in data analytics, AI, and LLM (Language Model) applications, and explore how they can be applied to further enhance the efficiency of customer care.

Requirements

• Minimum 2 years of data analyst experience (open for prior experience in data science).
• Minimum 2 years of hands-on experience with SQL, spreadsheet, and Python.
• Minimum 2 years of dashboarding experience with BI or dataviz tools (Tableau, Looker Studio, etc)
• Demonstrated ability to deliver actionable insights independently through robust analysis, with excellent communication and storytelling skills to translate complex findings into business impacts.
• Experience in creating, maintaining, and optimizing data pipelines and workflows in cloud-based environments such as GCP, AWS, or Azure.
• Practical knowledge of LLM (Large Language Models) or experience in deploying AI/ML solutions is a plus.
• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or related fields.
• Strong business acumen with a deep understanding of Customer Care operations and KPIs is an advantage.