Business Intelligence & Insights Analyst (Marketing Analytics) at Elastic

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. Elastic is growing rapidly, and our go-to-market strategy continues to evolve across products, solutions, and customer segments. To support this complexity, we rely on data and insights to guide decisions across the full Marketing and Sales funnel - from awareness and demand generation through pipeline creation, acceleration, and close. We are hiring a Marketing Business Intelligence & Insights Analyst to partner closely with Marketing stakeholders, help frame business problems, and translate data into actionable insights that drive impact. This role goes beyond reporting - you will own analyses end to end, influence decision-making, and help teams move from questions to clarity. You will design and maintain Tableau dashboards, conduct deep-dive analyses, and work cross-functionally with Demand Generation and Field Marketing teams. We are looking for a strong problem solver and communicator who can build trusted relationships, take ownership of ambiguous problems, and proactively drive insight. What You’ll Do • 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 What We’re Looking For • 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 Education • Bachelor’s degree or equivalent professional experience in a quantitative or analytical field (e.g., Statistics, Economics, Business, Analytics) Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is:$89,100—$140,900 USDThe typical starting salary range for this role in the select locations listed above is:$106,800—$168,900 USD Additional Information - We Take Care of Our People As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. • Competitive pay based on the work you do here and not your previous salary • Health coverage for you and your family in many locations • Ability to craft your calendar with flexible locations and schedules for many roles • Generous number of vacation days each year • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service • Up to 40 hours each year to use toward volunteer projects you love • Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [Upgrade to PRO to see contact]. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. 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