Marketing Operations Analyst II
Job Summary
Job Description
The Marketing Operations Analyst II is responsible for lead and pipeline reporting, ensuring accurate data tracking, performance measurement, and insights to drive marketing and sales alignment. This role focuses on lead management, pipeline analysis, and revenue reporting, while also managing Google Analytics, Google Ads, and other digital marketing performance metrics. Key responsibilities include managing and maintaining lead flow tracking and reporting, tracking pipeline performance and marketing-influenced revenue, building dashboards to visualize lead lifecycle stages, developing marketing attribution models, working with Sales Operations and Demand Generation teams, monitoring and analyzing Google Analytics and Google Ads performance, implementing and maintaining Google Tag Manager configurations, conducting A/B testing, ensuring marketing data is structured correctly in BigQuery, maintaining data hygiene and compliance, and collaborating with marketing and IT teams. The ideal candidate possesses strong analytical skills, experience with BigQuery, and expertise in data visualization, attribution modeling, and marketing analytics.
Must have:
- Lead & pipeline reporting
- BigQuery proficiency
- Data visualization expertise
- Google Analytics & Ads experience
- Marketing attribution modeling
- CRM (Salesforce) and HubSpot knowledge
- Data management & compliance
Good to have:
- SQL, Python, or R experience
- Google Tag Manager familiarity
- HubSpot, Google Analytics, or BigQuery certifications
13 skills required
Job Details
The Marketing Operations Analyst II is responsible for lead and pipeline reporting, ensuring accurate data tracking, performance measurement, and insights to drive marketing and sales alignment. This role focuses on lead management, pipeline analysis, and revenue reporting, while also managing Google Analytics, Google Ads, and other digital marketing performance metrics. The ideal candidate has strong analytical skills, experience with BigQuery, and expertise in data visualization, attribution modeling, and marketing analytics.
Key Responsibilities:
Lead & Pipeline Reporting
Manage and maintain lead flow tracking and reporting from marketing campaigns into HubSpot and CRM (Salesforce preferred), ensuring data accuracy and integrity.
Track, analyze, and report on pipeline performance, lead conversion rates, and marketing-influenced revenue to measure campaign impact.
Build and maintain dashboards in CRM, Looker Studio, Tableau, and Power BI to visualize lead lifecycle stages, funnel progression, and sales handoff efficiency.
Develop and refine marketing attribution models to assess the effectiveness of marketing channels and campaigns in pipeline generation.
Work closely with Sales Operations and Demand Generation teams to ensure seamless lead handoff and alignment on pipeline metrics.
Google & Digital Marketing Reporting
Monitor and analyze Google Analytics and Google Ads performance, identifying trends and opportunities for optimization.
Track digital campaign performance across paid media, SEO, and website engagement, providing recommendations for improvement.
Implement and maintain Google Tag Manager configurations to optimize conversion tracking and event measurement.
Conduct A/B testing and conversion rate analysis to optimize digital campaigns and landing page effectiveness.
Ensure marketing data is structured correctly in BigQuery for advanced analytics and reporting.
Marketing Data Management & Compliance
Maintain data hygiene, segmentation, and enrichment to improve targeting and reporting accuracy.
Ensure compliance with data privacy regulations (GDPR, CCPA) in all lead tracking and reporting activities.
Collaborate with marketing and IT teams to improve data governance and system integrations.
Qualifications & Experience:
5+ years of experience in marketing analytics, lead operations, or data analysis.
Strong expertise in lead management, pipeline tracking, and revenue reporting.
Proficiency in BigQuery for querying and analyzing large-scale marketing and sales data.
Experience with data visualization tools (Google Looker Studio, Tableau, Power BI).
Google Analytics and Google Ads experience, with a strong understanding of paid search, SEO, and digital reporting.
Knowledge of marketing attribution modeling, multi-touch attribution, and conversion tracking.
Familiarity with CRM systems (Salesforce preferred) and HubSpot reporting.
Ability to interpret complex data sets and present insights to marketing, sales, and leadership teams.
Preferred Skills:
Experience with SQL, Python, or R for advanced data analysis and reporting.
Familiarity with Google Tag Manager for event tracking and campaign measurement.
Certifications in HubSpot, Google Analytics, or BigQuery are a plus.
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