Responsibilities

• Strategic Analysis & Insights: 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
• Digital & Marketing Analytics: 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
• Data Visualization & Communication: 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
• Collaboration & Project Management: 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; Mentor junior analysts and contribute to team knowledge sharing

Requirements

• Master's degree in 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
• Analytics Platforms: Expert-level proficiency with Google Analytics (GA4), Adobe Analytics, or similar digital analytics platforms
• Programming & Analysis: Advanced SQL skills; proficiency in Python or R for statistical analysis and data manipulation
• Data Visualization: Strong experience with Tableau, Power BI, or Looker to create executive-level dashboards
• Database Technologies: Experience with cloud data platforms (Snowflake, AWS, Google Cloud, Azure) and big data tools (Hadoop, Spark) preferred
• Marketing Technology: Familiarity with marketing automation platforms, CRM systems, and tag management implementation

Preferred

• Experience with financial institutions (preferred)
• Experience with attribution modeling and customer journey analysis (preferred)
• Experience with cloud data platforms (Snowflake, AWS, Google Cloud, Azure) and big data tools (Hadoop, Spark) preferred

Benefits

• Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K with company match and generous PTO allowance. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!
• culture of collaboration, heritage of innovation and a focus on workplace flexibility.