This position is on the Finance Business Intelligence & Data Analytics team providing data infrastructure and insights covering the Merchant Segment. Data analytics team: Data Management > Data Governance > Business Intelligence We're seeking a Senior Business Intelligence Analyst with a consultant mindset to join our growing fintech team. This role goes beyond dashboards and data-it's about being a strategic advisor, transforming insights into actions, and helping drive data-driven decision-making across the business. Key Responsibilities: * Act as a strategic data consultant to business stakeholders-understanding their goals, framing analytical problems, and delivering impactful insights. * Proactively identify opportunities for business growth or cost savings through data-driven recommendations. * Design and build scalable BI solutions including dashboards, KPIs, and reporting tools that support decision-making and operational efficiency. * Analyze complex datasets to uncover trends, performance drivers, customer behaviors, and emerging risks. * Lead cross-functional data projects end-to-end: requirements gathering, data modeling, analysis, visualization, and presentation. * Translate business needs into technical requirements and collaborate with data engineering to ensure reliable data pipelines. * Support strategic initiatives such as product launches, pricing optimization, risk mitigation, or customer segmentation using data insights. Qualifications: * 5+ years of experience in business intelligence, data analytics, or related fields-ideally within fintech or financial services. * Strong proficiency in SQL, data visualization tools (e.g., Microstrategy, Power BI, Looker), and Excel. Familiarity with Python or R is a plus. * Deep understanding of financial products (e.g., payments, POS, lending, digital banking, etc.) and regulatory considerations. * Demonstrated experience leading projects with a consultative approach-asking the right questions, influencing stakeholders, and driving outcomes. * Proven ability to translate complex data into actionable insights and compelling stories. * Experience with cloud-based data platforms (e.g., BigQuery, Snowflake, Redshift) and data modeling best practices. * Excellent communication and stakeholder management skills. * Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Economics, Data Science, Finance, Engineering).