Senior Advisor, Marketing Analytics

RSA provides trusted identity and access management for 12,000 organizations around the world, managing 25 million enterprise identities and providing secure, convenient access to millions of users. RSA specializes in empowering security-first organizations in financial services, healthcare, energy, technology services, and other industries to thrive in a digital world, delivering complete capabilities for modern authentication, access, lifecycle management, and identity governance. Whether in the cloud or on-premises, RSA connects people with the digital resources they depend on everywhere they live, work, and play.

For decades, RSA has pioneered many of the encryption, authentication, and identity federation technologies that still power the internet. And now RSA is transforming the industry yet again, paving the way for the future of digital identity through the RSA Unified Identity Platform; next-generation hybrid and cloud solutions; the first ever and only multi-functional, passwordless hardware authenticator; and a frictionless, mobile-optimized experience for the modern workforce. If you are self-motivated and looking for a fast-paced challenge doing something that truly matters, come join our winning team!  For more information, go to rsa.com.

RSA is looking for a highly experienced Marketing Analytics Senior Advisor to join a measurement-driven marketing organization. This role partners with Marketing Managers and operations teams to translate business goals into KPI frameworks, dashboards, and insights that improve marketing effectiveness across channels (web, email/nurture, paid vs organic media, events, etc) and influence pipeline outcomes. You will own end-to-end marketing reporting (weekly/monthly/quarterly), data quality and definitions, and advanced analysis (attribution, funnel, lead lifecycle/handoff and campaign performance). You will also help modernize our analytics through automation and AI-assisted workflows, such as anomaly detection and faster insight summarization. To be successful in this role, you are curious, hands-on with data, comfortable in ambiguity, and able to influence decisions in a fast-paced environment.

Key Responsibilities

·       Own recurring Marketing performance reporting (weekly/monthly/quarterly) for senior marketing leadership, ensuring accuracy, clear KPI definitions, and executive-ready narratives.

·       Integrate and reconcile data across marketing and sales systems (e.g., CRM, marketing automation, web analytics, media platforms) for lead funnel and ROI measurement.

·       Design and maintain executive-ready dashboards focused on marketing performance: channel mix, spend and ROI, conversion rates, funnel progression, engagement, and campaign/program outcomes.

·       Develop scalable measurement frameworks for campaigns, always-on programs, and lifecycle marketing, including consistent taxonomy, tagging requirements, and reporting templates.

·       Advance marketing impact measurement (attribution, cohort analysis, and A/B testing) to identify what drives performance and to guide budget, channel, and campaign optimization.

·       Partner with internal and external Digital and Demand teams to optimize paid media (search, display, social) and campaign performance—monitoring pacing, conversion, and recommending actions to improve results.

·       Operationalize website and content analytics (GA4), including key journeys, landing page performance, conversion paths, content engagement, and SEO/paid landing page optimization insights.

·       Build automation and AI-assisted analytics workflows (e.g., anomaly detection/alerts, automated KPI commentary, and insight summarization) to accelerate decision-making.

·       Respond to ad hoc analysis requests with clear hypotheses, methods, and recommendations; communicate findings through concise storytelling tailored to executive and practitioner audiences.

Qualifications & Skills:

·       Bachelor’s degree in Business Analytics, Data Science, Statistics, Marketing Analytics, or equivalent practical experience.

·       7+ years in analytics or business intelligence with strong reporting and data visualization experience.

·       Advanced proficiency in Power BI (or similar) including semantic models, DAX, and performance optimization; strong dashboard design for executive audiences. Experience with data warehouse/lakehouse concepts (eg MS Fabric) is a plus.

·       Strong analytical toolset: SQL required; Python/R preferred for automation, statistical analysis, and scalable data preparation.

·       Own the lead measurement framework including MQL definition, scoring logic, handoff quality to Sales and funnel conversion tracking through close partnership with Marketing Operations

·       Understanding of attribution and experimentation methods (multi-touch, cohort, A/B testing), and how to apply them to pipeline and revenue outcomes.

·       AI/automation (plus): experience using GenAI tools to accelerate insight generation (e.g., automated summaries, KPI narratives) and/or applying ML techniques (forecasting, anomaly detection, propensity) in an analytics workflow using Claude Copilot, etc.

·       Excellent communication and stakeholder management skills; ability to influence priorities, tell a clear story with data, and thrive in a fast-paced environment.

RSA is committed to the principle of equal employment opportunity for all employees and applicants for employment and to providing employees with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, and any other category protected by applicable country law.

If you need a reasonable accommodation during the application process, please contact the RSA Talent Acquisition Team at rsa.global.talent.acquisition@rsa.com. RSA and its approved consultants will never ask you for a fee to process or consider your application for a career with RSA. RSA reserves the right to amend or withdraw any job posting at any time, including prior to the advertised closing date.