Senior Data Analyst

Traveloka; Jakarta Pusat; On-site; IDR 300,000,000 - 420,000,000; Full time

Job summary

Traveloka is seeking a Senior Data Analyst for the Travel Activities team to own critical analytics and drive decisions across the product area. You will design metrics, perform advanced analyses, and collaborate with leadership to shape strategy and outcomes.

The role emphasizes building reliable dashboards, improving experimentation rigor, and guiding teammates with evidence-based insights in a fast-paced market.

Qualifications

• You have at least 4 years of relevant analytics experience.
• Expertise in SQL and design of efficient data models, queries, and pipelines.

Responsibilities

• Own the analytics agenda for the Travel Activities business area and define key questions.
• Lead complex, custom analyses including causal inference and segmentation for strategic decisions.
• Improve experimentation processes, framing hypotheses and interpreting results.
• Build foundational dashboards, metrics, and data pipelines used by analysts and business teams.
• Persuade senior stakeholders with data-driven recommendations and defend findings when needed.
• Mentor junior analysts and raise overall data quality and impact.
• Set technical direction for analytics methods and tooling adopted by the team.

Skills

SQL

Python

R

Data modeling

ETL pipelines

BI dashboards

Experiment design

Stakeholder communication

English fluency

Education

Bachelor's degree in a quantitative discipline

Master's degree preferred

Tools

Tableau

Looker

Power BI

Domo

dbt

Job description

About Traveloka

Traveloka is Southeast Asia's leading travel and lifestyle super-app. We connect tens of millions of travellers across the region with flights, hotels, experiences, financial services, and more - all from a single platform. Since our founding in 2012, we have expanded to eleven markets, processed billions of dollars in transactions, and built one of the most recognised consumer brands in the region.

Job Description

Job ID: MJ000257

Traveloka is Southeast Asia's leading travel and lifestyle super-app. We connect tens of millions of travellers across the region with flights, hotels, experiences, financial services, and more - all from a single platform. Since our founding in 2012, we have expanded to eleven markets, processed billions of dollars in transactions, and built one of the most recognised consumer brands in the region.

We move fast because the region demands it. Southeast Asia is young, mobile-first, and growing faster than almost anywhere else on earth. We are not transplanting a Western playbook - we are writing a new one, from scratch, for a market that does not look like anywhere else - and we are calling for people who want to be part of that.

About The Team

The Travel Activities team builds the part of the trip people actually remember - attraction tickets, guided tours, cruises, and local experiences across Southeast Asia and beyond.

Data is how we make sense of it. Each product category has its own funnel and the supply landscape is fragmented, so the numbers are never clean and the answers are never obvious. That is exactly where you come in.

As part of the data analytics team, you turn millions of bookings, searches, and partner feeds into decisions our commercial and product teams act on the same week. You design the metrics, build the dashboards people actually trust, and dig into why a category is moving - not just that it is. We are deploying AI to scale this faster. If you want your analysis to change what gets sold to real travelers, this is the place.

About The Job

As a Senior Data Analyst on Traveloka's Travel Activities team, you are an expert individual contributor - no direct reports - who independently owns the toughest, most ambiguous analytics problems in your area, accountable for the analytical decisions you make and increasingly setting the standard others follow.

• Own the analytics agenda for the Travel Activities business area, deciding which questions are worth answering and being accountable for the recommendations that follow.
• Lead complex, custom analyses - causal inference, advanced segmentation, funnel optimisation - on problems that span your own and adjacent job areas and that senior leaders use to set direction.
• Improve how experimentation is done for your area as part of project teams, raising the rigour bar on how hypotheses are framed and results are read.
• Build the foundational dashboards, metric definitions, and pipelines that other analysts and business teams depend on, applying deep, well-developed expertise built from theory and experience.
• Persuade and convince senior stakeholders - GMs, Directors, VPs - of your reading of the evidence, even where the final decision rests with them.
• Mentor and guide junior analysts and review their work to lift quality, without taking on line-management of a team.
• Set technical direction for the analytical methods and tooling your peers adopt, leading through expertise rather than headcount.

Job Requirements

• You have at least 4 years of relevant experience.
• You have deep, demonstrated expertise in SQL and design efficient data models, queries, and pipelines that others build on - not just one-off analyses.
• You are fluent in Python or R for advanced analytics: causal inference, segmentation, and predictive modelling, and automation that go well beyond what SQL alone can do.
• You are an expert with BI tools (Tableau, Looker, Power BI, or Domo) and set the standard for what a trustworthy, decision-grade dashboard looks like across your team.
• You independently tackle genuinely ambiguous, high-stakes problems - causal inference, funnel and pricing optimisation - choosing the right method rather than the familiar one.
• You design and interpret experiments rigorously: power analysis, failure modes, advanced methods, and the ability to defend or challenge a result under scrutiny from a skeptical leader.
• You influence senior, non-technical stakeholders - Managers, Directors, GMs, and VPs - translating complex analysis into strategy and decisions they act on.
• You mentor and lift the quality of analysts around you through example and guidance, as a senior individual contributor, without needing line management authority.
• You hold a degree in a quantitative discipline - Statistics, Mathematics, Computer Science, Engineering, or Economics - or have equivalent depth proven across several years of high-impact data work.
• You bring strong business acumen and domain depth: you understand the unit economics of Travel Activities well enough to anticipate what the business should be asking, not just answer what it does.
• You are fluent on a cloud data platform (BigQuery, Redshift, or Snowflake) and have worked with modern transformation tooling such as dbt.
• You use AI and modern analytics tooling to multiply your own output and set clear norms for how your team validates what those tools produce.
• You communicate with executive-level clarity and authority in English - in writing, in a room, and across technical and non-technical audiences.