Data Analytics Manager II

HashiCorp
Summary
Join HashiCorp's Marketing Analytics team as a Data Analytics Manager and contribute to the development of data models and tools that accelerate insights for marketing and leadership teams. Collaborate with subject-matter experts across various departments to build data models for marketing use cases, enabling ad-hoc analyses and reports. You will empower stakeholders to self-serve data-driven answers. This role involves creating and maintaining data models, dashboards, and reports, building reverse ETL workflows, and collaborating on key metric tracking. You will also identify opportunities to improve data accessibility and develop training materials for self-serve analysis. The position requires a Bachelor's degree, 5+ years of relevant experience, and strong SQL, data modeling, and visualization skills.
Requirements
- Bachelorβs degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience)
- 5+ years of experience in analytics, analytics engineering, business intelligence, data engineering or a related field
- Demonstrates the ability to write clean, performant and scalable SQL
- Hands-on experience with data modeling tools like DBT or similar frameworks, modern datawarehouse systems like Snowflake or Redshift for structuring and transforming data into high-quality usable models
- Experience building intuitive and impactful dashboards in one or more BI tools (e.g., Tableau, Sigma, Looker)
- Excellent problem-solving analytical skills with the ability to synthesize and communicate complex results
- Ability to shape ambiguity into tangible deliverables
- Strong communication skills presenting insights and recommendations to stakeholders and senior leaders
Responsibilities
- Own the creation and maintenance of well-structured and robust data models, dashboards and reports that enable business stakeholders to drive data-informed decisions
- Build and maintain reverse ETL workflows to business systems such as Marketo to support marketing campaigns
- Collaborate with cross-functional teams to define and track key business metrics tied to adoption, pipeline, revenue, product telemetry and customer success
- Identify and drive opportunities to make data more consumable and decrease time-to-insight for analytics consumers
- Develop documentation, training and enablement content to ramp users on models and dashboards for self-serve analysis
Preferred Qualifications
- Strong business acumen with 2+ years of experience developing analytics for go-to-market functions (Sales, Marketing etc.)
- Knowledge of visualization best practices
- Solid grasp of data modeling and semantic layers
- Knowledge of Python or R
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