Staff Data Analyst

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 experience. - 5+ 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, NumPy, SciPy, 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 ClickHouse or BigQuery). - 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.