Hybrid Cloud Cost Analytics Analyst

Telemetry Today LLC; San Francisco (CA); Hybrid; USD 114,000 - 143,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental, and Vis

Health Savings Account (HSA)

Paid Time Off

Parental Leave (16 weeks)

Home Office Reimbursement

Phone and Internet Reimbursement

Tuition Reimbursement

Equity

Commuter Benefits

Job summary

Planet is seeking a Data Analyst focused on Cloud Financial Data to join our Data Team in San Francisco. You will build data pipelines, dashboards, and self-service tools to analyze cloud spending and cost drivers, supporting pricing and business decisions.

The role is full-time and hybrid, requiring three days per week in the San Francisco office. You will work with stakeholders across the business to deliver analytics that improve product and operational efficiency.

Qualifications

• 4+ years of relevant experience.
• Bachelor's degree, technical certification, or equivalent.

Responsibilities

• Build and own extract, transform, load pipelines to ingest and aggregate cloud cost datasets.
• Analyze and visualize data to drive insights and inform product, business or operational problems.
• Work with key stakeholders across the business to define metrics to measure product and business efficiency.
• Build datasets into self-service data tools leveraging modern data tooling.
• Contribute to a team of Data Scientists, Analysts and Engineers through discussions and code reviews.

Skills

SQL

Python

Git

Enterprise cloud platforms

Data analytics

Education

Bachelor's degree

Tools

dbt

Omni

Looker

Job description

Planet is seeking a Data Analyst focused on Cloud Financial Data to join our Data Team in San Francisco. You will build data pipelines, dashboards, and self-service tools to analyze cloud spending and cost drivers, supporting pricing and business decisions.

The role is full-time and hybrid, requiring three days per week in the San Francisco office. You will work with stakeholders across the business to deliver analytics that improve product and operational efficiency.