Lead analysis of large-scale datasets from digital platforms, CRM systems, and marketing automation tools to uncover actionable trends and opportunities
Design measurement frameworks and learning agendas that align with business strategies and marketing objectives
Conduct attribution modeling and customer journey analysis to understand marketing touchpoint impact across channels
Perform ad-hoc strategic analyses to support executive decision-making and answer critical business questions
Analyze website and digital performance including traffic, engagement, conversion funnels, and session quality to identify optimization opportunities
Monitor key metrics including Cost Per Account, Lifetime Value, ROAS, and conversion rates across marketing channels
Execute A/B testing strategies and multivariate experiments to optimize campaigns and user experiences
Build and maintain advanced dashboards and interactive visualizations using Tableau, Power BI, or Looker
Translate complex analytical findings into clear narratives for C-suite executives, marketing leaders, and technical teams
Present strategic recommendations that drive action and influence stakeholder decisions
Mentor junior analysts and contribute to team knowledge sharing
Requirements
Master's degree in a quantitative discipline such as Statistics, Data Science, Economics, Mathematics, Computer Science, or related field
10+ years of progressive experience in data analysis, marketing analytics, or advanced analytics roles
Proven experience in financial services industry or working with financial institutions strongly preferred
Track record of delivering impactful insights that influenced strategic business decisions
Expert-level proficiency with Google Analytics (GA4), Adobe Analytics, or similar digital analytics platforms
Advanced SQL skills required; proficiency in Python or R for statistical analysis and data manipulation
Strong experience with Tableau, Power BI, or Looker to create executive-level dashboards
Experience with cloud data platforms (Snowflake, AWS, Google Cloud, Azure) and big data tools (Hadoop, Spark) preferred
Familiarity with marketing automation platforms, CRM systems, and tag management implementation