Optimization Analytics Engineer

Optimization Analytics Engineer

This engineer builds the data models that power cost optimization, including utilization analysis,
commitment planning, rightsizing recommendations, and savings tracking.

• 4-6 years of data/analytics engineering experience

• Requires strong analytical modeling skills and understanding of cloud infrastructure. The
commitment planning and unit economics work benefits from someone with experience bridging
infrastructure metrics and financial data.

Key Deliverables
1. Utilization Data Models:
Build models integrating utilization metrics with cost data for
waste identification
2. Commitment Analytics Models:
Create models tracking RI/Savings Plan/CUD utilization,
coverage, and recommendations
3. Rightsizing Models:
Build recommendation models identifying oversized and idle
resources
4. Savings Tracking Models:
Implement models measuring cost avoidance and realized
savings
5. Unit Cost Models:
Create unit economics models (cost per request, per GB, per
transaction)

Engineering Responsibilities

• Integrate utilization metrics (Cloud Watch, Stackdriver, Azure Monitor) with cost data

• Build commitment utilization and coverage calculations by provider

• Implement rightsizing logic using utilization thresholds and cost impact

• Create commitment recommendation models analyzing usage stability

• Build unit cost calculations tied to business metrics

• Design what-if scenario models for commitment planning

• Implement savings tracking models comparing actual vs. baseline costs

Required Technical Skills

• Expert SQL and analytics modeling

• Experience with cloud monitoring data (Cloud Watch, Stackdriver, Azure Monitor)

• Understanding of cloud commitment mechanisms (RIs, Savings Plans, CUDs)

• Statistical analysis for usage pattern identification

• Data modeling tools (dbt, Dataform, or similar)