Vice President, Business Operations
Saviynt
Tableau
Manager, Analytics – Customer
Maven Clinic
full-time
Posted on:
Origin: • 🇺🇸 United States • California, District of Columbia, Illinois, Massachusetts, New York, Washington
Visit company websiteSalary
💰 $179,000 - $210,000 per year
Job Level
Mid-LevelSenior
Tech Stack
SQLTableau
About the role
- Lead and mentor a team of analysts focused on customer analytics, fostering collaboration, professional growth, and analytical excellence.
- Drive scalable solutions for customer-facing analytics while balancing the need for fast, responsive insights that directly support high-stakes client conversations.
- Partner closely with Customer Success, Sales, Marketing, and other GTM teams to understand their analytical needs, build trust, and ensure insights resonate with stakeholders.
- Translate complex analyses into clear, compelling narratives that influence decision-making and drive action.
- Ensure analytics deliverables are robust, repeatable, and aligned with enterprise data standards, while maintaining flexibility for urgent, one-off needs.
- Collaborate with Analytics Engineering and Data teams to build sustainable data pipelines, dashboards, and reporting structures that scale across the customer base.
- Act as a thought partner to stakeholders, balancing short-term asks with long-term priorities and helping the organization mature in its use of customer analytics.
Requirements
- 6–8 years of experience in analytics, with at least 3 years in customer or GTM analytics roles.
- Proven ability to deliver actionable insights that resonate with business leaders and customer-facing teams.
- Demonstrated empathy for the fast-paced nature of customer analytics, while advocating for scalable, sustainable solutions.
- Strong communication and storytelling skills, with experience presenting to diverse stakeholders including executives and client-facing teams.
- Fluency in SQL and strong experience with data visualization tools (e.g., Tableau, Looker, Power BI).
- Solid understanding of modern data architectures, data modeling, and pipelines, with experience collaborating with Analytics Engineering or Data Engineering.
- Ability to balance strategic projects with ad hoc, time-sensitive analyses.
- Experience mentoring or managing analysts, with a focus on developing both technical and stakeholder-facing skills.
