Related skills
looker sql python pandas tableau📋 Description
- Advanced travel data analysis across flight, rail, and bus data.
- Develop predictive models for demand, cancellations, price elasticity.
- Create customer segmentation using clustering techniques.
- Produce weekly insight briefs with actionable leadership recommendations.
- Build Looker dashboards tracking core metrics and anomalies.
- Conduct deep-dive analyses on critical business questions.
🎯 Requirements
- 3-5 years in data science/advanced analytics (travel/OTA/e-commerce preferred).
- Python (Pandas, Scikit-learn) and SQL (complex queries) expertise.
- Strong modeling: regression, time series, clustering.
- Experience building Tableau/Looker/Power BI dashboards.
- Ability to translate data into boardroom-ready insights.
- Nice-to-have: Spark/Hadoop; A/B testing; travel metrics (RPC, load factor).
🎁 Benefits
- Collaborative, output-driven program across multiple businesses via technology.
- Improve revenue per use by increasing cross-sell opportunities.
- 360-degree feedback from peer teams on your support of their goals.
- Respect, that is earned, not demanded from peers and managers.
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