Senior Data Analyst

Deskripsi Pekerjaan

Key Responsibilities

• Partner with Marketing Growth & Engagement: Collaborate closely with the Marketing team by executing deep-dive Customer Behavior Analysis to optimize marketing initiatives aimed at acquiring high-value users, reactivating churned customers, and maximizing retention.
• Drive Customer Loyalty Strategy: Work hand-in-hand with the Marketing and Product teams to build, scale, and optimize our loyalty program using data to evaluate reward structures and user engagement tiers.
• Run End-to-End Experimentation: Design, implement, and analyze rigorous A/B tests and statistical simulations to measure the true causal impact of customer retention and acquisition campaigns.
• Hands-on Technical Execution & Asset Building: Act as a builder and maintainer of core data infrastructure. Demonstrate a solid understanding of data tracking frameworks and data pipeline design to architect robust, scalable underlying tables.
• Architect Actionable Monitoring & Visibility: Personally build, maintain, and own high-impact stakeholder dashboards that track operational performance, campaign health, and customer lifecycle metrics.
• Maximize Marketing ROI & Optimization: Run comprehensive optimization analysis across diverse marketing channels and levers to isolate inefficiencies and recommend which growth vectors should be scaled, adjusted, or retired, especially for customer related initiatives.

Requirements

• 4+ Years of Proven Analytical Track Record: Deep experience operating as a Data Analyst or Data Scientist, with a strong focus on generating business-altering insights rather than just pulling raw numbers.
• Specialized Customer & Marketing Analytics Expertise: Prior experience embedded within a Customer Analytics or Marketing Analytics team is highly preferred, with proven success executing complex lifecycle projects such as predictive churn prevention models and cohort retention analysis.
• Expert Technical Stack: Professional-level command of SQL and Python is mandatory. Hands-on experience navigating and optimizing massive cloud-based data warehouses is a core requirement.
• Experimentation Rigor: Solid foundational knowledge and a proven track record of designing, executing, and evaluating A/B testing methodologies and statistical significance.
• AI-Augmented Workflow Efficiency: Highly comfortable integrating AI tools, LLMs, and automated coding assistants into daily workflow to accelerate code generation, automate documentation, and streamline exploratory data analysis.
• Data Infrastructure & Visualization Proficiency: Deep understanding of event-based tracking, pipeline monitoring, and data modeling, paired with the ability to build and scale dashboards via Tableau or similar tools.
• Business Acumen & Structural Problem Solving: Strong capability to translate raw customer behavior data into structured business frameworks, identify why data gaps occur, and proactively implement automated fixes to reduce manual overhead.

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.