Senior Data Analytics Manager, HashiCorp

• 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

Desirable

• This is an individual contributor role responsible for hands-on development
• Analytics Engineering & Enablement is focused on translating our trove of data into consumable models and training that accelerate time-to-insight for the HashiCorp product organization
• As a Sr. Analytics Manager, you will work closely with subject matter experts to design and develop data models that power common analytics use cases, powering ad hoc analyses, reports/dashboards, and AI/ML models
• You will make it easier for every PM and key business stakeholder at HashiCorp to consistently self-serve answers to their questions about customer behavior and product usage, by leveraging the wealth of customer and product data we generate
• 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
• Reduced time required for self-service users to generate actionable insights
• High adoption of data models and dashboards you create
• Reliable, accurate, and well-documented data solutions that stakeholders trust