Senior Manager, Global Marketing Analytics & Operations

About the Role

Key Responsibilities

• Proactively analyze data, identify trends and develop recommendations for changes to investment & marketing strategies across the channels.
• Lead development of Weekly, Monthly and Quarterly marketing update presentations to senior and executive management.
• Own development and maintenance of Salesforce and Tableau/Power BI dashboards to visualize complex data sets and be able to distill information into actionable insights in reports.
• Partner closely with our Sales Operations team to assist with translating Sales goals and performance along with past performance into Marketing goals, forecasts and analytical models for Marketing.
• Ensure activity across marketing campaign funnels and customer behavior flows are tagged and tracked accurately for reporting and analysis, across multiple markets and channels including paid search, social, display, event and email marketing.
• Support marketing team on SQL and data needs, including regular and ad hoc reporting.
• Own marketing analytics data models in data warehouse and upkeep with engineering, troubleshooting data issues with technical resources and teams to ensure accuracy and integrity of information.
• Collaborate with cross functional teams to design and optimize marketing attribution and measurement models, including leads scoring last-touch, multi-touch, MMMs, etc.
• Own set up and implementation of lead forms and routing logic in partnership with Sales teams to ensure seamless handoff of data within existing systems.
• Present to Executives and other key Leadership Team members (VP+) across functions.
• Manage multiple projects and deliver against deadlines for a range of senior stakeholders internally.

Requirements

• 8+ years of experience working in analytical capacity modeling and/or interpreting data with a focus on marketing data analytics and operations.
• Proficient at utilizing SQL queries to extract and manipulate data efficiently, preferably Snowflake.
• Confident working with various digital analytics and visualization platforms such as Google Analytics, Salesforce, Looker, Tableau, Power BI.
• Strong understanding of ad trafficking and online tracking mechanisms including Doubleclick Campaign Manager, UTMs, floodlight/pixel tags, etc.
• Experience in reporting on customer insights, LTV and CAC analysis and A/B testing.
• Experience migrating from a first-touch to multi-touch attribution model.
• Comfortable working in a high paced environment.
• Strong presentation skills with experience delivering reports to Executives and other key Leadership positions at the company, across functions.
• Bachelor's or Master's degree with a quantitative focus.

Nice to Have

• Proficient in one scripting language (e.g., Python, R) for data manipulation and analysis.
• Experience with Git and CI CD workflows.
• Experience with Cloud Services (AWS or GCP).

Benefits & Perks

• Base Pay: $127,500 to $170,000 annually.
• Incentive Compensation: Eligible to participate in an incentive plan specific to the role.
• Comprehensive benefits including 20 days of PTO, approximately 13 paid holidays, 80 hours of paid sick time per year.
• 16 weeks paid parental leave.
• Competitive healthcare benefits.
• 401k plan.
• Life and AD&D insurance.