Vericast

Compensation

Full Description

Job Description: • 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 • Leverage tag management systems to ensure accurate data capture and tracking implementation • 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 • Create automated reporting solutions providing real-time visibility into marketing performance and KPIs • Partner with cross-functional teams including Product, Engineering, and Strategy to deliver integrated insights • Manage multiple concurrent analytical projects ensuring timely, high-quality delivery • Collaborate with teams to improve digital customer journeys and campaign effectiveness based on data insights Requirements: • Bachelor's degree in a quantitative discipline such as Statistics, Data Science, Economics, Mathematics, Computer Science, or related field • Master's degree preferred • 5-9 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. Benefits: • N/A