Senior Manager, Advanced Marketing Analytics - Remote, United States - Zendesk

Description

Job DescriptionJob Description

We are searching for an experienced and results-driven Sr Manager, Advanced Marketing Analytics and BI to build and lead our marketing data science team. The ideal candidate will be an expert at using data to drive GTM strategies, understand customer behavior, and measure marketing and GTM performance. The successful candidate will be responsible for overseeing the development and implementation of advanced analytics, data mining, and statistical modeling techniques to solve complex marketing and GTM challenges and drive business growth.

Key Responsibilities

• Leadership and Team Management:
  • Build, lead, and mentor a team of data scientists and analysts across several locations including outside of the US.
• Data Strategy and Analytics:
  • Develop and manage in-house predictive models and segmentation strategies.
  • Develop and manage lead, contact and account targeting and prioritization frameworks.
  • Leverage predictive modeling and machine learning to forecast trends and customer behavior.
  • Develop and implement a comprehensive data strategy that supports marketing and SDR decision-making and GTM optimization.
  • Oversee the design and execution of experiments and A/B tests to drive continuous improvement in marketing effectiveness.
• Performance Measurement:
  • Design and maintain core dashboards and reports that track KPIs and ROI.
  • Analyze campaign performance and customer engagement metrics to identify opportunities for growth and optimization.
  • Analyze in-product user journeys and provide recommendations to product and marketing teams.
  • Provide actionable insights and strategic recommendations to marketing and executive leadership teams.
• Technology and Innovation:
  • Stay abreast of the latest trends and advancements in marketing analytics and data science.
  • Evaluate and recommend new tools, technologies, and methodologies to improve the team's capabilities and efficiency.
  • Collaborate with IT and engineering teams to enhance data infrastructure and analytics platforms.

Qualifications

• Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related field).
• 7+ years of experience in data science or a related field, with a proven track record in marketing analytics.
• Strong leadership skills and experience managing a team of data professionals.
• Deep expertise in data mining, statistical analysis, machine learning, and predictive modeling.
• Proficient with data science and analytics tools (e.g., Python, R, SQL, Tableau).
• Excellent communication and interpersonal skills, with the ability to translate complex data into actionable business insights.
• Strategic thinking with a strong problem-solving ability.
• Experience with big data technologies and cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
• Familiarity with CRM systems and marketing automation tools.

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

The US annualized base salary range for this position is $131,000.00-$197, This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.