We are looking for a Staff Data Analyst within Salla's data organization.

This is a senior individual contributor role. Rather than executing a defined backlog, you will work with leadership to identify which company-level problems are worth solving, specify them from vague requirements, and lead the analytical work that moves top-line and bottom-line metrics. Your scope spans multiple domains and product lines, you will tech-lead other analysts, and your impact is measured by the decisions you change and the capability you build in others.

Responsibilities

Work with leadership to proactively identify key company-level problems to solve, driving direct impact to top-line and bottom-line metrics Drive strategic initiatives that span multiple domains and product lines, with measurable business impact Take independent end-to-end ownership of broad data products and business questions, as well as questions at the data organization level Demonstrate excellent judgement in prioritizing and executing both independently and through others Navigate ambiguous questions and organizational challenges to land impact, managing upward, downward, and sideways across multiple stakeholders Recommend clear actions and decisions for your business and product stakeholders to take, rather than presenting options without a point of view Influence the roadmap and strategy of your domain, persuading stakeholders to act on the back of your analytical work Fully manage stakeholder relationships: identify new stakeholders, build coalitions to influence business strategy, and leverage them to unblock execution Communicate all aspects of your technical knowledge in a didactic and approachable way to all levels of the organization Own the development and maintenance of key metrics with your stakeholders and data peers, setting data quality standards and defining metric layers Ensure the data behind every analysis is accurate, reliable, and relevant, accounting for outliers, sparsity, sample size, imbalances, and missing or corrupted data, and cross-checking against independent internal sources where relevant Clearly call out the methodological approaches considered, and document assumptions and caveats, statistical significance, and confidence intervals to prevent misinterpretation by stakeholders Own the mentorship and professional development of junior and mid-level team members

Requirements

Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, or similar), or equivalent practical experience5+ years in analytics, with a demonstrable track record of analyses that changed material business decisions Expert-level SQL, including window functions and working with large-scale analytical databases Strong proficiency in Python for analysis (pandas, Num Py, Sci Py, scikit-learn, visualization libraries) Advanced experience with BI platforms and semantic modelling, with a focus on enabling self-serve analytics rather than producing dashboards on request Excellent problem-solving skills and structured thinking applied to ambiguous or technically complex problems Demonstrated ability to influence senior stakeholders without direct authority, build coalitions, and hold a position under pressure when the evidence supports it Evidence of tech-leading or mentoring other analysts and raising the standard of a team, not only strong individual output Excellent written and verbal communication, with the ability to make complex analysis legible to an executive audience

Nice to have

Experience in e-commerce, marketplaces, fintech, or another high-volume transactional domain Familiarity with modern warehousing and transformation tooling (dbt, columnar databases such as Click House or Big Query) Experience with event-level product analytics and instrumentation design Experience supporting pricing, monetization, or revenue modelling work Working knowledge of version control and code review practices applied to analytics work