Senior Data Analytics Manager

October 25

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Logo of Highspot

Highspot

Sales Enablement • Sales Engagement • Sales Playbooks • Sales Enablement Analytics • Buyer Engagement

501 - 1000 employees

Founded 2012

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

Description

• About Highspot • Highspot is pioneering the category that is fundamentally changing the way companies increase sales productivity. • In this role, you will be an integral part of the Revenue Analytics team, contributing significantly to Highspot’s go-to-market strategy. • Your mission is to provide quantitative analysis, decision support, and insightful reporting across key business areas, delivering value to a variety of cross-functional stakeholders. • You will act as a trusted advisor, tackling complex business challenges and crafting compelling, data-driven narratives. • This role requires proficiency in extracting data from diverse sources, ensuring data integrity through quality assurance practices, and producing reports that drive actionable insights and informed decision-making. • Highspot’s rapid growth has led to an increasing demand for analytics to support our go-to-market strategies.

Requirements

• Passion for improving business outcomes through data and analytics solutions. • 5+ years of experience in analytics or data science, ideally focused on go-to-market strategy, revenue operations, or marketing analytics in a SaaS or high-growth environment. • Ability to create and analyze GTM and SaaS metrics including ARR, pipeline coverage, lead conversion rates, discounting, churn. • Experience in CRM and marketing automation tools, with a deep knowledge of using BI tools, most importantly, Tableau, for dashboard creation. • Ability to cover a wide range of activities; from C-level presentations to leveraging SQL and Python for hands-on data preparation and modeling. • Ability to leverage Python or similar tools for creating automation and data processing scripts. • Experience in data mining and statistics, with the ability to leverage tools such as R. • Strong expertise in relational databases and SQL, including complex queries (e.g., window functions, CTEs, unbounded preceding, recursion). • Strong communication skills, including the ability to summarize and visualize complex analyses to tell a compelling story. • Strong ability to prioritize and operate autonomously balanced with ability to seek help early and often to ensure progress is on right track and meeting expectations.

Benefits

• Comprehensive medical, dental, vision, disability, and life benefits • Health Savings Account (HSA) with employer contribution • 401(k) Matching with immediate vesting on employer match • Flexible PTO • 8 paid holidays and 5 paid days for Annual Holiday Week • Quarterly Recharge Fridays (paid days off for mental health recharge) • 18 weeks paid parental leave • Access to Coaches and Therapists through Modern Health • 2 volunteer days per year • Commuting benefits

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