‍Qualifications:

- 4+ years (Senior) or 7+ years (Staff) of experience in an analytics role at a public or high-growth start-up

- Excellent written and oral communication skills in English. Especially adept at communicating technical information as well as making solid and clear recommendations to non-technical senior leadership.

- Results-oriented individual with the ability to identify dependencies, and leverage multiple sources of information at once

- Adept at working cross-functionally with relevant stakeholders to ensure goals are met. 

- Strong mathematical and analytical skills required, including advanced proficiency in Excel or Google Sheets. 

- Advanced skills in SQL with the ability to write complex and optimized queries, including window functions and CTEs.

- Solid grasp of data visualization best practices and experience with building reports in Tableau or a comparable tool. 

- Experience with experiment design and statistical test analysis. 

- Experience in Python and/or R is a big plus. 

- Intellectually curious and excited to learn. 

- Experience in Travel/Hospitality is a plus but not required

‍

Key Responsibilities:

- Measure, track, and analyze operations efficiency, identify trends, work with stakeholders to understand root causes, and translate learnings into actionable insights. 

- Build, own, and maintain key performance metrics and dashboards and present insights to business partners and executive leadership. 

- Design, measure, and communicate results from experiments to enable accelerated decision-making about potential process and technology improvements. 

- Lead the sprint-planning process with business stakeholders to drive alignment on project prioritization and progress. 

- Work closely with other data partners (eg. Data PMs, BI, and Data Engineers, etc.) to scale our client’s data ecosystem and enable cross-functional projects. 

- Support the development of new data visualization and continuous improvement of internal reporting to drive visibility into performance. 

- Use advanced analytical techniques to improve ways of working – from refactoring core data models to making recommendations to Operations teams about ways to increase operating efficiency and improve the guest experience. 

- Advise leadership on potential opportunities or hazards that affect the business' ability to meet strategic goals.

‍