Note: The job is a remote job and is open to candidates in USA. Infoblox provides cloud-first networking and security solutions and is seeking a Marketing Analytics Specialist to join its Marketing Operations team. The role analyzes marketing data, develops scalable dashboards and reporting, and delivers actionable insights to improve pipeline contribution, campaign performance, funnel conversion, and customer lifecycle outcomes.
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
- Own recurring marketing performance reporting and dashboards with accuracy and timely delivery
- Build trusted relationships with marketing stakeholders and understand how they use analytics to make decisions
- Deliver actionable analyses across campaign performance, funnel conversion, pipeline contribution, and customer engagement
- Identify opportunities to improve reporting automation, data quality, metric consistency, and responsible use of AI-enabled analytics
- Demonstrate growing fluency across Salesforce, Marketo, Tableau, attribution platforms, and the broader marketing data ecosystem
- Serve as a dependable analytics partner who proactively surfaces insights that influence marketing strategy and resource allocation
- Independently deliver increasingly complex analyses with clear assumptions and documented methodologies
- Contribute to improvements in measurement frameworks, data governance, segmentation, attribution, and dashboard scalability
- Expand automation and AI-supported analytics capabilities while applying appropriate validation, privacy, bias, and human-review practices
- Demonstrate measurable impact on reporting efficiency, data quality, stakeholder adoption, and marketing decision support
Skills
- 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
- 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
- Familiarity with Python or R, statistical analysis, regression, clustering, propensity modeling, marketing mix modeling, or machine learning applications in marketing is preferred
Benefits
- Comprehensive health coverage
- Generous PTO
- Flexible work options
- Learning opportunities
- Career-mobility programs
- Leadership workshops
- Sixteen paid volunteer hours each year
- Global employee resource groups
- A “No Jerks” policy that keeps collaboration healthy
- Modern offices with EV charging
- Healthy snacks
- Hackathons, game nights, and culture celebrations
- Charitable Giving Program supported by Company Match
- Bonus or commissions
Company Overview
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