Boku - Senior Business Data Analyst – Strategic Partnerships
Requirements
• Comfortable operating with a high degree of ambiguity and autonomy • Naturally curious and commercially minded • Strong problem-solving and analytical reasoning skills • Experience using BI tooling, SQL, and modern cloud data warehouses such as Redshift, Snowflake, or BigQuery • Understanding of analytics engineering concepts and modern data transformation workflows • Stakeholder management expertise, with the ability to clearly communicate findings to both technical and non-technical audiences, translating analysis into actionable recommendations • Takes ownership of outcomes, builds stakeholder trust, and consistently delivers high-quality work • Proven ability to work directly with strategic enterprise partners who have high expectations for analytical quality, responsiveness, and communication • An autodidact who is continuously learning new concepts, tools, and modern approaches to analytics and automation, including the use of AI agents • Preferred • Familiarity with dbt, Tableau, Python, or related analytics tooling • Background in payments, fintech, subscriptions, e-commerce, or digital platforms • Experience with customer-facing work involving commercial teams and external stakeholders • Exposure to AI-assisted development, data analysis, or automation tools, alongside a demonstrated curiosity for applying emerging AI technologies to real-world problems • 5+ years of relevant experience in data analytics, business intelligence, analytics engineering, or a related field • University degree or equivalent practical experience preferred
Responsibilities
• Partner Analytics & Investigation • Investigate partner concerns relating to conversion performance, churn, segmentation,behavioural trends, and payment funnel optimization • Analyse large-scale operational datasets to identify trends, anomalies, and opportunities for improvement • Perform structured investigations into ambiguous operational and commercial questions, often establishing new analytical frameworks and iterating on evolving methodologies • Support troubleshooting and root-cause analysis across payment flows, user funnels, and operational workflows • Reporting & Analytics • Build reporting, dashboards, and analytical models using SQL, dbt, Tableau, and related tooling • Work with large-scale operational and financial datasets across markets, payment methods, and products • Contribute to the evolution of analytical workflows, automation, and AI-assisted tooling, helping build everything from pipelines to dashboards and reports • Evaluate, experiment with, and apply emerging AI technologies to solve complex business data challenges • Stakeholder & Commercial Collaboration • Participate in operational meetings, troubleshooting discussions, presentations, and business review sessions with internal commercial teams and external strategic partners • Follow up on issues raised during meetings, taking ownership and helping drive issues toward resolution • Help bridge the gap between technical and non-technical stakeholders, translating complex technical and analytical concepts into clear, actionable communication • Build strong working relationships and trust with commercial teams and external partners through thoughtful, reliable, high-quality analytical work
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