Marketing Analytics Lead

Accountabilities

The Marketing Analytics Lead will drive marketing measurement, analytics strategy, and business intelligence initiatives while partnering with cross-functional teams to improve decision-making and commercial performance.

• Generate actionable insights from complex, multi-source marketing datasets to guide channel investment, campaign optimization, and pipeline strategy.

• Partner with marketing leaders across demand generation, partner marketing, field marketing, product marketing, and brand to deliver impactful analytics initiatives.

• Design, implement, and maintain marketing attribution frameworks, including first-touch, multi-touch, and incrementality measurement models.

• Build dashboards, reporting solutions, and self-service analytics tools that enable stakeholders to monitor funnel performance, channel ROI, and campaign effectiveness.

• Collaborate with data engineering teams to develop scalable marketing data models and foundational analytics assets using modern data infrastructure.

• Conduct deep-dive analyses to identify trends, diagnose marketing performance issues, and recommend strategic improvements.

• Connect marketing investments to commercial outcomes such as pipeline growth, ARR, customer acquisition costs, and payback metrics.

• Continuously improve marketing measurement methodologies, reporting accuracy, and data governance practices.

Requirements The ideal candidate combines strong marketing analytics expertise with technical data skills, business acumen, and the ability to influence stakeholders across a fast-paced SaaS organization.

• 4+ years of experience delivering marketing analytics solutions within a high-growth SaaS environment.

• Strong understanding of digital marketing channels, attribution methodologies, marketing mix measurement, and performance analytics.

• Experience translating ambiguous business requirements into scalable data models, metrics, and reporting solutions.

• Hands-on expertise with modern analytics ecosystems, including cloud data warehouses, dbt, ETL/ELT processes, and BI platforms such as Looker, ThoughtSpot, or similar tools.

• Experience working with marketing platforms including HubSpot, Salesforce, Google Ads, LinkedIn Ads, Meta, or comparable technologies.

• Excellent SQL and data modeling skills with the ability to build reliable business intelligence assets.

• Strong analytical thinking, problem-solving abilities, and experience communicating complex insights to both technical and non-technical audiences.

• Excellent stakeholder management and cross-functional collaboration skills.

• Consulting experience, exposure to AI or data science projects, and financial analytics knowledge are considered strong advantages.

Benefits

• Fully remote work environment with optional access to office locations.

• Monthly lifestyle allowance supporting physical, mental, and financial well-being.

• Home office setup allowance during onboarding.

• Annual Learning & Development budget of USD $1,500.

• Paid annual leave plus two additional wellness leave days.

• 18 weeks of paid parental leave for all parents.

• Paid personal, sick, and caregiver leave.

• High-performance laptop and equipment provided.

• Company-sponsored access to generative AI tools.

• Opportunity to grow within a globally recognized, high-performing technology company and collaborate with talented international teams.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1