Senior Data Analytics Manager II

Summary

Join HashiCorp as a Sr. Analytics Manager and contribute to the development and maintenance of self-service data tools. You will work closely with subject matter experts to design and develop data models for various analytics use cases. Responsibilities include creating and maintaining self-serve tools, delivering insightful analyses, developing training content, and identifying opportunities to improve data accessibility. Success in this role is measured by reduced time to insight for users, high adoption of created tools, and reliable, accurate data solutions. This is an individual contributor role reporting to the Sr. Manager, Business Intelligence. The role requires a Bachelor's degree and 10+ years of relevant experience.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience)
• 10+ years of experience in analytics, analytics engineering, data engineering, or a related role
• Solid grasp of SQL, structuring data, and ability to effectively query multiple tables of different grains with the use of subqueries/ctes and window functions
• Proficiency in data modeling tools like dbt or similar frameworks
• Experience working with modern data management systems (e.g. Snowflake, Redshift, etc.)
• Ability to shape ambiguity into tangible deliverables
• Excellent problem-solving analytical skills with the ability to synthesize and communicate complex results
• Strong communication skills with an emphasis on written communication

Responsibilities

• Own the creation and maintenance of self-serve tools (data models, reports, dashboards, etc.) that enable business stakeholders to be data-driven in their decision-making
• Deliver on inquisitive analyses that answer critical business questions
• Develop training and enablement content to ramp users on models and dashboards in our portfolio
• Identify and drive opportunities to make data more consumable and decrease time-to-insight for analytics consumers

Preferred Qualifications

• Strong business acumen with 7+ years experience developing analytics specifically for go-to-market functions (Sales, Marketing, Services)
• Comfortability with programming languages (e.g. Python, R, etc.) for data manipulation and automation
• Knowledge of visualization best practices
• Solid grasp of data modeling and semantic layers
• Understands both data lake and data warehousing approaches to data management