Business Intelligence and Insights Analyst (Marketing Analytics)

Elastic, the Search AI Company, enables everyone to find the answers they need in real time using all their data at scale. They are seeking a Marketing Business Intelligence & Insights Analyst to partner with Marketing stakeholders, help frame business problems, and translate data into actionable insights that drive impact.

Responsibilities:

• Partner with stakeholders across Marketing to understand business goals, frame analytical questions, and deliver insights that inform strategy and execution
• Develop, build, and maintain Tableau dashboards that report on marketing performance and business impact. Develop automated, proactive monitoring systems and predictive models within Tableau (e.g., Pulse, Einstein) to identify funnel anomalies and forecast pipeline coverage before gaps impact the business
• Lead deep-dive analyses to uncover trends, patterns, and root causes behind performance changes
• Own ad-hoc and strategic analyses from intake through delivery, including defining scope, methodology, and recommendations
• Act as a trusted analytics and data subject-matter expert, advising teams on metrics, definitions, and interpretation
• Apply exploratory data analysis, statistical techniques, and visualization best practices to develop clear, actionable insights
• Communicate findings effectively through clear narratives, visuals, and recommendations, tailored to different audiences
• Continuously identify opportunities to improve reporting, measurement frameworks, and analytical approaches

Requirements:

• 3+ years of experience using analytics and data visualization to solve business problems and drive decisions, ideally in a SaaS or high-tech environment
• Strong experience with Tableau for dashboarding and storytelling
• Strong SQL skills (BigQuery preferred) and comfort working with large datasets; experience with Google Sheets a plus
• Prior experience with Salesforce (SFDC)
• Marketing analytics experience is a strong plus, including demand generation, funnel analysis, pipeline attribution, or website analytics. Advanced proficiency in experimental design and statistical modeling to measure the incremental impact of marketing investments and optimize resource allocation across complex, non-linear buyer journeys
• Proven ability to translate ambiguous questions into structured analyses and clear recommendations
• Excellent problem-solving and quantitative analysis skills
• Strong communication and stakeholder management skills—able to build relationships and influence without authority
• High level of ownership and accountability, with the ability to manage multiple priorities and deliver high-quality insights under tight timelines
• Intellectual curiosity and comfort working in ambiguity
• Ability to collaborate effectively with globally distributed teams
• Strong attention to detail and commitment to data quality
• Bachelor's degree or equivalent professional experience in a quantitative or analytical field (e.g., Statistics, Economics, Business, Analytics)