Responsibilities

• Analyze marketing performance across pipeline contribution, program ROI, funnel conversion, customer acquisition, and lifecycle metrics
• Partner with stakeholders to define KPIs, clarify measurement requirements, uncover insights, and inform investment decisions
• Build and maintain scalable dashboards and reporting solutions using Tableau or similar business intelligence tools
• Query, transform, and validate large datasets using SQL and data warehouse or data lake technologies
• Translate complex analyses into clear narratives, presentations, and actionable recommendations
• Conduct analyses across campaigns, channels, audiences, segmentation, account engagement, and attribution
• Monitor data accuracy, completeness, lineage, and governance across Salesforce, Marketo, attribution platforms, and related sources
• Support lead scoring, account fit, segmentation, and propensity models using statistical and analytical techniques
• Automate recurring reporting, data-quality checks, and insight-generation workflows
• Use approved AI tools to accelerate research, documentation, visualization, coding, and reporting while validating outputs for accuracy, privacy, bias, and business relevance

Requirements

• 1+ years of experience in marketing analytics, business analytics, revenue analytics, data analysis, or a related field
• Experience analyzing large datasets and translating quantitative findings into business recommendations
• Proficiency with SQL and experience working with data warehouses, data lakes, or governed analytical data products
• Experience building dashboards and reports with Tableau or a similar business intelligence platform
• Understanding of B2B marketing metrics, funnel dynamics, pipeline contribution, lifecycle measurement, and attribution models
• Familiarity with marketing automation and CRM platforms, such as Marketo and Salesforce
• Strong analytical thinking, problem-solving, attention to detail, and ability to manage multiple priorities
• Clear written and verbal communication skills, including the ability to explain technical concepts to technical and non-technical audiences

Preferred

• Familiarity with Python or R, statistical analysis, regression, clustering, propensity modeling, marketing mix modeling, or machine learning applications in marketing is preferred
• Practical experience using generative AI or AI-enabled productivity, analytics, automation, or reporting tools, with sound judgment regarding data quality, confidentiality, responsible use, and human review

Benefits

• Comprehensive health coverage, generous PTO, and flexible work options
• Learning opportunities, career-mobility programs, and leadership workshops
• Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy that keeps collaboration healthy
• Modern offices with EV charging, healthy snacks, plus hackathons, game nights, and culture celebrations
• Charitable Giving Program supported by Company Match
• We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications