Senior Analyst II, Marketing Business Intelligence

Responsibilities

• Own and maintain executive, operational, and channel-level marketing dashboards and reporting solutions across the organization.
• Manage marketing KPI frameworks, scorecards, targets, and performance tracking to ensure consistent business visibility and alignment.
• Deliver actionable insights and analysis that support marketing strategy, campaign performance, and business decision making.
• Serve as a central analytics partner for ad hoc business insight requests across marketing teams and leadership stakeholders.
• Partner with Business Intelligence and Marketing Ops teams to improve data quality, reporting governance, and scalable self-service analytics capabilities.
• Support adoption and enablement of AI-driven analytics and self-service reporting tools across the marketing organization, including platforms such as Databricks Genie or similar technologies.
• Help support scalable approaches to self-service analytics, insight generation, and data accessibility across marketing teams.
• Monitor performance trends, risks, and opportunities across marketing channels and communicate insights to technical and non-technical stakeholders.
• Support strategic planning, quarterly business reviews, and executive discussions through reporting and business insights.

• Bachelor’s degree in Analytics, Business, Marketing, Statistics, Economics, Information Systems, or related field preferred.
• 4+ years of experience in marketing analytics, business intelligence, reporting analytics, or related analytical roles.
• Strong experience building and maintaining dashboards, scorecards, KPI frameworks, and scalable reporting solutions using BI tools such as Power BI, Tableau, or similar platforms.
• Experience delivering business insights and analytical recommendations that support decision making and performance optimization.
• Strong understanding of marketing performance metrics, funnel reporting, and business measurement frameworks.
• Experience supporting self-service analytics capabilities and enabling non-technical stakeholders to leverage data effectively.
• Familiarity with AI-enabled analytics tools, self-service insight platforms, or emerging reporting technologies preferred.
• Strong analytical and problem-solving skills with the ability to synthesize data into actionable insights and recommendations.
• Ability to manage multiple priorities and work effectively in a fast-paced environment.
• Strong communication and stakeholder management skills with experience partnering cross-functionally across business teams.
• Proficiency in SQL, Excel, and BI/reporting platforms with strong attention to detail and commitment to data quality and reporting accuracy.