Sr. Data Analytics Engineer - HashiCorp

Sr. Data Analytics Engineer - Hashi Corp

IBM

IBM Software’s data analytics team focuses on translating data into consumable models that accelerate time‑to‑insight for the Automation Pillar. This role contributes to Hashi Corp’s offerings, now part of IBM, by managing the lifecycle of infrastructure and security to enhance IBM’s cloud solutions.

This is an individual‑contributor role reporting to the Senior Manager of Analytics Engineering. The Sr. Data Analytics Engineer collaborates with subject‑matter experts to design and develop data models that support common analytics use cases—including ad‑hoc analyses, reporting, dashboards, and AI/ML models—so that product managers and business stakeholders can self‑serve insights.

• 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 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 reduce time‑to‑insight for analytics consumers.

• Reduced time required for self‑service users to generate actionable insights.
• High adoption of data products that you create.
• Reliable, accurate, and well‑documented data solutions that stakeholders trust.

Bachelor's Degree

• Prior experience with dbt.
• 7+ years of experience in analytics, analytics engineering, data engineering, or a related role.
• Strong business acumen with 5+ years of experience developing analytics specifically for go‑to‑market functions (Sales, Marketing, Services).
• Solid grasp of SQL, data structuring, and ability to effectively query multiple tables of different grains using subqueries/CTEs and window functions.
• Experience working with modern data management systems (e.g., Snowflake, Redshift).

• Ability to shape ambiguity into tangible deliverables.
• Solid grasp of data modeling and semantic layers.
• Understands both data lake and data warehousing approaches to data management.

• Mid‑Senior level

• Full‑time

• Information Technology

• IT Services and IT Consulting