Marketing Operations Analyst

The role:

Newsela is hiring a Senior Marketing Operations Analyst who can make a significant impact quickly. Reporting to the Director of Marketing Operations, this role will own key components of Marketing’s measurement, analytics, and reporting infrastructure, including reporting architecture, dashboard development and governance, advanced data modeling, multi-touch attribution, and KPI development and tracking. This role will partner cross-functionally with Marketing, Finance, and Operations to standardize reporting, strengthen data integrity, and expand visibility into marketing performance across the company

Why you’ll love this role:

Reporting:

• Lead cross-functional alignment with Finance and Sales Operations to establish consistent reporting and auditing across the organization
• Own and architect full-funnel marketing reporting in Salesforce and Tableau, defining key performance indicators
• Define and standardize scalable, repeatable analytical processes and reporting methodologies across different tools.
• Establish KPIs and benchmarks to measure against for testing and as the foundation for future modeling
• Synthesize data across multiple platforms to provide holistic insights into marketing and business performance, including data from Marketo, Google Analytics, Google Ads, LinkedIn Ads, and other relevant sources.
• Partner with the Director of Marketing Operations to design, implement, and govern comprehensive multi-touch attribution and marketing influence models

Data Structure:

• Assess campaign performance across channels and funnel stages to identify the data structures, inputs, and analytical approaches needed to surface meaningful insights.
• Scope and implement the data structure needed to effectively create, audit, visualize, and build reports for the Marketing organization
• Drive cross-functional data integration initiatives to maintain seamless data flows in support of the company’s operations workflow
• Own the strategic roadmap and implementation for unifying disparate marketing data sources for end to end analysis

Analysis:

• Build advanced predictive models and forecasts for MQLs, pipeline, and bookings using top-down and bottom-up methodologies
• Lead complex cross-functional analysis that improve data quality, strategic context, and support business decision making
• Develop analytical frameworks to surface actionable insights, emerging trends, and strategies to optimize marketing performance