Marketing Analytics Manager

Accountabilities:

• Lead marketing analytics strategy by defining and maintaining KPIs, dashboards, and performance measurement frameworks that evaluate campaign effectiveness, funnel performance, ROI, and customer acquisition trends.

• Deliver actionable insights by translating complex datasets into clear recommendations that improve marketing efficiency, optimize spend, and support business growth.

• Own executive and board-level reporting, including monthly and quarterly performance updates, strategic presentations, and data storytelling that connects marketing activity to business outcomes.

• Partner with Marketing and Finance leadership to manage budgeting, forecasting, financial modeling, and investment planning to ensure effective resource allocation.

• Develop predictive models and advanced analyses to support strategic planning, scenario forecasting, and performance optimization.

• Collaborate cross-functionally with Sales, Revenue Operations, Product, Customer Success, and Executive teams to align metrics, attribution models, and reporting standards.

• Manage and mentor one direct report responsible for marketing operations support, lead routing, and process execution, ensuring operational excellence and continuous improvement.

• Leverage AI-driven tools and automation to enhance reporting efficiency, improve forecasting accuracy, and streamline analytics workflows.

Requirements:

• 5+ years of experience in marketing analytics, business analytics, revenue operations, finance analytics, or similar data-driven roles.

• Proven experience delivering executive-level reporting, presentations, and data-driven recommendations to senior leadership and board-level stakeholders.

• Strong expertise in data visualization and BI tools such as Tableau, Power BI, Looker, or equivalent platforms.

• Advanced proficiency in Excel and experience working with CRM and marketing automation systems such as Salesforce, HubSpot, Marketo, or Eloqua.

• Experience managing marketing budgets, forecasting, and performance measurement frameworks in a complex business environment.

• Strong analytical, problem-solving, and storytelling skills with the ability to translate data into strategic business insights.

• Familiarity with AI-powered analytics tools, automation, predictive analytics, and modern data-driven marketing practices.

• Experience working in cross-functional environments and influencing stakeholders across Marketing, Sales, Finance, and Product teams.

• Bachelor’s degree in Marketing, Business, Economics, Statistics, Finance, or a related field, or equivalent experience.

• Prior people management experience or leadership of cross-functional initiatives is a strong plus.

Benefits:

• Competitive salary range of $95,900-$137,200, plus bonus eligibility.

• Comprehensive benefits package including medical, dental, and vision insurance.

• 401(k) retirement savings plan, health savings account options, and life insurance coverage.

• Paid time off, sick leave, and parental leave to support work-life balance.

• Employee assistance program, mental health resources, and wellness support services.

• Additional perks such as pet insurance and employee support programs.

• Remote work flexibility within a full-time structure.

• Inclusive and equal opportunity workplace with accommodations available throughout the hiring process.

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