Pricing Senior Data Analyst
Posted
Description
Deskripsi Pekerjaan
- Own and deliver the operational analytics plan for the Accommodation business area in line with the domain’s priorities, with your work directly shaping its results.
- Tackle genuinely complex problems that require in-depth understanding of impact across operational, financial, and human-capital dimensions, and turn them into clear recommendations.
- Build the advanced models, segmentations, and experiments the business uses to set direction, applying deep, well-developed expertise built from theory and experience.
- Enhance the metric definitions, pipelines, and analytical processes your area runs on as part of project teams, raising the standard others inherit.
- Persuade and convince senior business and tech stakeholders of the right course of action with evidence, even when the decision-making authority sits with them.
- Set the technical bar for rigour and experimentation across a wide analytics surface, leading through expertise rather than line authority.
- Propose strong inputs and mentor other analysts as the go-to expert, without owning a team or carrying people-management accountability.
- You have at least 8 years of relevant experience.
- You are deeply expert in SQL, BI tooling, and advanced analytical methods — segmentation, experimentation, modelling — and still build hands-on.
- You have repeatedly solved complex, ambiguous problems whose impact spans operations, finance, and people.
- You design and interpret experiments to a high standard and improve how your area runs them.
- You build dashboards, pipelines, and data products (Tableau, Looker, Power BI, cloud platforms) that the business trusts as the source of truth.
- You influence senior business and tech leaders and have shaped real strategy with your analysis.
- You are the technical reference point others come to — you raise the bar through expertise, not headcount.
- You mentor and guide peers as a senior individual contributor, without managing a team.
- You have a degree in a quantitative field (or equivalent) and typically at least 7 years in analytics, BI, or data science.
- You communicate with executive presence in English — concise, clear, persuasive — and bring strong business acumen.
- You have built a reusable analytics framework or self-serve data product that scaled across multiple teams.
- You have led a high-stakes analytics initiative end to end and can point to the business decision it changed.
- You have driven adoption of AI-assisted analytics among your peers while keeping rigour high.
