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.ResponsibilitiesWork with leadership to proactively identify key company-level problems to solve, driving direct impact to top-line and bottom-line metricsDrive strategic initiatives that span multiple domains and product lines, with measurable business impactTake independent end-to-end ownership of broad data products and business questions, as well as questions at the data organization levelDemonstrate excellent judgement in prioritizing and executing both independently and through othersNavigate ambiguous questions and organizational challenges to land impact, managing upward, downward, and sideways across multiple stakeholdersRecommend clear actions and decisions for your business and product stakeholders to take, rather than presenting options without a point of viewInfluence the roadmap and strategy of your domain, persuading stakeholders to act on the back of your analytical workFully manage stakeholder relationships: identify new stakeholders, build coalitions to influence business strategy, and leverage them to unblock executionCommunicate all aspects of your technical knowledge in a didactic and approachable way to all levels of the organizationOwn the development and maintenance of key metrics with your stakeholders and data peers, setting data quality standards and defining metric layersEnsure 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 relevantClearly call out the methodological approaches considered, and document assumptions and caveats, statistical significance, and confidence intervals to prevent misinterpretation by stakeholdersOwn the mentorship and professional development of junior and mid-level team membersRequirementsBachelor'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 decisionsExpert-level SQL, including window functions and working with large-scale analytical databasesStrong 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 requestExcellent problem-solving skills and structured thinking applied to ambiguous or technically complex problemsDemonstrated ability to influence senior stakeholders without direct authority, build coalitions, and hold a position under pressure when the evidence supports itEvidence of tech-leading or mentoring other analysts and raising the standard of a team, not only strong individual outputExcellent written and verbal communication, with the ability to make complex analysis legible to an executive audienceNice to haveExperience in e-commerce, marketplaces, fintech, or another high-volume transactional domainFamiliarity with modern warehousing and transformation tooling (dbt, columnar databases such as ClickHouse or BigQuery)Experience with event-level product analytics and instrumentation designExperience supporting pricing, monetization, or revenue modelling workWorking knowledge of version control and code review practices applied to analytics work