Data Manager

Traveloka


Tanggal: 15 jam yang lalu
Kota: Pekerjaan jarak jauh, Pekerjaan jarak jauh
Jenis kontrak: Penuh waktu
Jarak jauh
Job Description

Job ID: MJ000022

Job Description

  • Lead a Specialized Analytics Team: Manage a team of data professionals focused on the intersection of market demand, pricing elasticity, and profitability. You will lead by example, providing technical mentorship and code reviews.
  • Define Market Positioning Frameworks: Develop and maintain the analytical "Single Source of Truth" (SSOT) for market competitiveness, creating sophisticated models to evaluate company performance against broader market benchmarks.
  • Hands-on Technical Execution: As a "Player-Coach," you will be expected to dive deep into the data yourself, writing complex queries, building initial model prototypes, and troubleshooting data pipelines alongside your team.
  • Optimize Data Acquisition Intelligence: Architect automated systems to prioritize high-value data signals. Use historical trends to ensure data collection is resource-efficient and focused on high-impact segments.
  • Drive Inventory Intelligence: Lead initiatives to improve product comparability. Use statistical modeling and benchmarking to identify inventory gaps and provide actionable insights to supply teams.
  • Lead Advanced Experimentation: Design and execute a high-frequency testing roadmap. Use A/B testing and simulation to validate new pricing features and logic, ensuring growth doesn't compromise unit economics.
  • Analyze Margin Leakage: Develop diagnostic tools to identify and mitigate revenue-erosion drivers, ensuring price adjustments are optimized for long-term net revenue health.

Job Requirements

  • 5+ years of experience in Data, Pricing, or Revenue Management, with at least 2 years in a leadership/people-management role.
  • Strong "Hands-On" Persona: You are a practitioner at heart. You are as comfortable in a high-level stakeholder meeting as you are debugging a Python script or optimizing a SQL query.
  • Expert Technical Stack: Professional-level command of SQL and Python is mandatory. Experience with large-scale data scraping architecture and cloud-based data warehouses (e.g., BigQuery, Snowflake) is highly preferred.
  • Experimentation Rigor: Proven track record of personally designing and executing A/B tests and simulations to validate business hypotheses.
  • Business Acumen: Deep understanding of Net Revenue (NR) margins, conversion funnels, and the competitive landscape of the travel/accommodation industry.
  • Data Visualization: Ability to personally build and maintain actionable stakeholder dashboards (Tableau, Looker, or similar).
  • Operational Excellence: Ability to identify why data gaps occur and implement automated fixes to reduce manual operational overhead.

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