Marketing Analytics and Reporting Specialist

Responsibilities

• Execute advanced marketing analysis
• Build and maintain reporting infrastructure
• Deliver reliable performance insights across the marketing funnel
• Design, build, and maintain scalable Power BI dashboards
• Translate large, complex datasets into intuitive, business-ready reporting solutions
• Standardize reporting frameworks to ensure consistency, accuracy, and usability across teams
• Reduce ad-hoc reporting needs by developing durable, self-service dashboards
• Conduct in-depth analysis of marketing channel performance, lead generation, conversion metrics, and ROI
• Identify trends, performance drivers, and optimization opportunities
• Develop actionable insights that improve efficiency and effectiveness across the marketing lifecycle
• Partner with stakeholders to define key performance indicators and measurement frameworks
• Evaluate and responsibly integrate emerging AI tools to streamline data preparation, insight generation, or dashboard development
• Collaborate with marketing and CRM stakeholders to improve data structure and tracking
• Contribute to improvements in data governance and reporting strategy
• Present findings in a clear, concise, and actionable format
• Support leadership with recurring performance reporting and executive-level dashboards
• Help shape reporting best practices and influence data strategy within the marketing organization

Requirements

• Bachelor’s degree in analytics, business, marketing, statistics, information systems, or related field (or equivalent practical experience)
• 4+ years of experience in analytics, business intelligence, or marketing analytics roles
• Advanced proficiency in SQL, including complex joins, aggregations, and data transformation
• Strong experience building dashboards in Microsoft Power BI
• Advanced Excel skills (pivot tables, advanced formulas, data modeling)
• Demonstrated ability to transform complex data into clear, functional, and visually compelling reports
• Strong understanding of business metrics and performance measurement frameworks
• Ability to communicate technical findings effectively to non-technical stakeholders
• Experience leveraging AI-powered tools (e.g., generative AI, analytics copilots, automation tools) to improve reporting efficiency, accelerate analysis, or enhance data workflows