Sr. Data Analytics Manager

Sr. Data Analytics Manager

US (Remote); #LI-Remote

About HashiCorp

HashiCorp is a fast-growing company that solves development, operations, and security challenges in infrastructure so organizations can focus on business-critical tasks. We build products to give organizations a consistent way to manage their move to cloud-based IT infrastructures for running their applications. Our products enable companies large and small to mix and match AWS, Microsoft Azure, Google Cloud, and other clouds as well as on-premises environments, easing their ability to deliver new applications for their business.

About the role

Product Analytics is focused on translating our trove of data into consumable models and tools that accelerate time-to-insight for the HashiCorp product organization.

As a Sr. Analytics Manager, you will work closely with Data Engineering and product teams to orchestrate pipelines that power your analyses and dashboards to enable actionable insights for your stakeholders. 

You will make it easier for every PM and key business stakeholder at HashiCorp to reliably self-serve answers to their questions about customer behavior and product usage, by leveraging the wealth of customer and product data we generate.

This role is an individual contributor with both functional and technical responsibilities. 

Responsibilities:

• Deliver on inquisitive analyses that answer critical business questions.
• Own the creation and maintenance of self-serve tools (data models, reports, dashboards, etc.) that will enable the PM organization to be more data-centric in their decision-making.
• Engage deeply with the HashiCorp product teams to understand their critical user journeys and help drive the right data pipelines to capture those milestones.
• Identify and drive opportunities to make data more consumable and decrease time-to-insight for analytics consumers.

Skills and Experience:

• Several years developing analytics from data to dashboard using tools like Tableau, Looker, Sigma in an enterprise SaaS environment. 
• Experience working with data from user behavior platforms like Segment, Heap, and Mixpanel.
• Strong grasp of SQL, structuring data, and ability to effectively query multiple tables of different grains with the use of subqueries and window functions.
• Excellent problem-solving analytical skills with the ability to synthesize and communicate complex results.
• Ability to shape ambiguity into tangible deliverables.
• Strong communication skills with an emphasis on written communication.
• Experience presenting insights and recommendations to senior leaders.
• Experience with stakeholder management and setting expectations.

Preferred Qualifications:

• Strong business acumen with years experience developing analytics specifically for go-to-market functions (Sales, Marketing, Services).
• Knowledge of Python or R.
• Knowledge of visualization best practices.
• Strong grasp of data modeling and semantic layers.
• Understands both data lake and data warehousing approaches to data management.

Attributes we look for in successful analytics managers:

• Attention to detail
• Self-directed and inquisitive
• Explain complex ideas simply
• Ability to tell a story with data
• Ability to set and manage expectations