Performance Marketing Analyst

PT Trinusa Travelindo; Banten; On-site; IDR 48,000,000 - 96,000,000; Full time

Job summary

Traveloka seeks a data-driven analytics professional to build measurement frameworks and experiments that reveal what truly drives growth. You will design studies, pull data, and develop models that challenge current metrics and inform strategic decisions.

You will own end-to-end analyses, collaborate with channel owners, and create scalable tools and dashboards that provide leadership with real-time visibility into performance.

Qualifications

• Bachelor's degree or higher in Data Science, Statistics, Mathematics, Computer Science, or similar quantitative field.
• 2–6 years of experience in marketing analytics, data science, or related analytical role.
• Strong statistical foundation—hypothesis testing, regression, causal inference, and experimentation design.
• Hands-on experience setting up and running your own A/B tests and incrementality studies, not just interpreting results handed to you.
• Proficient in SQL and at least one analytical language (Python or R).
• Experience with marketing measurement concepts (attribution, MMM, incrementality, LTV/CAC).
• Demonstrated ability to build a point of view from data and defend it, not just report metrics.
• Strong written and verbal communication — translate technical analysis into decisions non-technical stakeholders can act on.
• Experience in digital or performance marketing is helpful but not required.

Responsibilities

• Measure what matters. Design and run experiments (geo holdouts, A/B tests, incrementality studies) to isolate the true contribution of marketing spend across channels.
• Build the models. Develop and maintain measurement frameworks — marketing mix modeling, attribution, LTV/CAC analysis — that inform budget allocation and channel strategy.
• Partner, don't just support. Work with performance marketing channel owners to translate business questions into analytical projects, from problem definition through to insight delivery.
• Work the data yourself. Pull, clean, and validate large datasets using SQL. Build repeatable analysis pipelines in Python or R rather than one-off spreadsheets.
• Build tools, not just reports. Develop dashboards and self-serve reporting that give channel owners and leadership real-time visibility into performance, reducing reliance on ad hoc requests.
• Bring the evidence to the table. Present findings to marketing leadership with a clear, evidence-based point of view — including where the current playbook or measurement approach is wrong.
• Improve the operating rhythm. Identify manual reporting and modeling workflows that should be automated. Partner with data engineering to scale your tools across the team.

Skills

SQL

Python

R

Hypothesis testing

A/B testing

Attribution

MMM (Marketing Mix Modeling)

LTV/CAC analysis

Data storytelling

Education

Bachelor's degree in Data Science/Statistics/Math/CS

Tools

SQL

Python

R

Job description

This role sits inside performance marketing, but the mandate is analytical. You will build the measurement

frameworks, models, and experiments that tell us what is actually driving growth — not run campaigns day-to-

day. You will partner closely with channel owners, but your core output is analysis: rigorous, evidence-based,

and defensible under scrutiny.

You will not be handed a dashboard and asked to summarize it. You will be expected to design the experiment,

build the model, pull the data yourself, and form a point of view that challenges how we currently measure

success.

We're evolving how this team works — sharpening how we measure and scale growth. This is a hands-on

opportunity to help shape that shift, not just run the existing playbook.

How You Will Work

You will operate with a clear analytical mandate and high accountability. We expect you to form hypotheses,

test them rigorously, and update your point of view based on what the evidence shows. You will have direct

access to senior leadership through regular reviews, and your models and analyses will inform decisions on

where the company invests its growth capital.

We are not looking for someone who reports metrics. We are looking for someone sharp enough to question

the measurement itself, structured enough to build a better model, and credible enough to change how the

Job Responsibilities

• Measure what matters. Design and run experiments (geo holdouts, A/B tests, incrementality tests, lift studies) to isolate the true contribution of marketing spend across channels. Push back on attribution-based reporting when it overstates impact.
• Build the models. Develop and maintain measurement frameworks — marketing mix modeling, attribution, LTV/CAC analysis — that inform budget allocation and channel strategy.
• Partner, don't just support. Work with performance marketing channel owners to translate business questions into analytical projects, from problem definition through to insight delivery.
• Work the data yourself. Pull, clean, and validate large datasets using SQL. Build repeatable analysis pipelines in Python or R rather than one-off spreadsheets.
• Build tools, not just reports. Develop dashboards and self-serve reporting that give channel owners and leadership real-time visibility into performance, reducing reliance on ad hoc requests.
• Bring the evidence to the table. Present findings to marketing leadership with a clear, evidence-based point of view — including where the current playbook or measurement approach is wrong.
• Improve the operating rhythm. Identify manual reporting and modeling workflows that should be automated. Partner with data engineering to scale your tools across the team.

What We're Looking For

• Bachelor's degree or higher in Data Science, Statistics, Mathematics, Computer Science, or a similar quantitative field. Candidates from strong, reputable universities preferred.
• 2–6 years of experience in marketing analytics, data science, or a related analytical role.
• Strong statistical foundation — hypothesis testing, regression, causal inference, and experimentation design.
• Hands-on experience setting up and running your own A/B tests and incrementality studies, not just interpreting results handed to you.
• Proficient in SQL and at least one analytical language (Python or R).
• Experience with marketing measurement concepts (attribution, MMM, incrementality, LTV/CAC) is a strong plus.
• Demonstrated ability to build a point of view from data and defend it, not just report metrics.
• Strong written and verbal communication — able to translate technical analysis into decisions non-technical stakeholders can act on.
• Experience in digital or performance marketing is helpful but not required.

Unlock job insights

Traveloka (traveloka.com) is a tech startup based in Jakarta. We aim to revolutionize Indonesian travel marketplace and make it more accessible to travelers across the country. Since it is a mammoth of a task, we'd love to have talented people from diverse backgrounds who can help us achieve our mission. We are committed to building a dynamic workplace where people truly enjoy their work and feel that they can really have an impact.

Traveloka (traveloka.com) is a tech startup based in Jakarta. We aim to revolutionize Indonesian travel marketplace and make it more accessible to travelers across the country. Since it is a mammoth of a task, we'd love to have talented people from diverse backgrounds who can help us achieve our mission. We are committed to building a dynamic workplace where people truly enjoy their work and feel that they can really have an impact.