Loopback Analytics
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FinOps Analyst
role at
Loopback Analytics
Employer is not sponsoring for visa status. All applicants must be authorized to work in the United States on a full‑time basis.
Loopback Analytics is looking for a FinOps Analyst to manage, analyze, and optimize cloud and compute costs across our Azure, Databricks, and Snowflake environments, with potential exposure to multi‑cloud platforms such as AWS or GCP.
This role sits within the Data Operations group and collaborates with Engineering, Infrastructure, and Finance teams to drive visibility and accountability in cloud costs, including identification and remediation of inefficient workloads (SQL, Python) and data pipelines that inflate costs.
Ideal candidates have hands‑on experience in cloud cost management, billing analytics, and operational optimization — and are comfortable diving deep into both data and process improvement.
Key Responsibilities
Monitor and analyze cloud spend across Azure, Databricks, and Snowflake (if applicable).
Build cost tracking and reporting dashboards using native tools (Azure Cost Management, Databricks Billing APIs & Dashboards, Power BI) and SQL/Python.
Develop tagging and cost‑allocation frameworks to support chargeback and forecasting models.
Partner with Engineering and Infrastructure to optimize compute usage, storage tiers, and licensing.
Recommend query tuning, partitioning and caching strategies to improve performance and reduce cost‑per‑job on Databricks.
Support monthly budget reviews and identify trends, anomalies, and optimization opportunities.
Manage governance policies for resource provisioning and cost alerts.
Partner with Information Security to ensure FinOps practices and cost controls align with SOC2 and HIPAA compliance requirements.
Provide insights into FinOps maturity and recommend process improvements.
Qualifications Required
5–7 years of experience in FinOps, Data Operations, Cloud Cost Analysis, or related roles.
Hands‑on experience with Azure Cost Management, Databricks, and Windows infrastructure.
Solid analytical and SQL skills; comfort with scripting in Python or PowerShell.
Familiarity with tagging strategies, cost attribution, and usage‑based billing.
Strong understanding of cloud services (compute, storage, networking) and pricing models.
Ability to communicate technical findings to financial and non‑technical audiences.
Preferred
Experience in healthcare data platforms or regulated data environments (HIPAA).
Exposure to Snowflake and data warehouse cost optimization.
Familiarity with Databricks Dashboards or Power BI or Looker for cost reporting.
FinOps Foundation certification or training a plus.
Soft Skills
Detail‑oriented and data‑driven.
Proactive in identifying inefficiencies and suggesting pragmatic solutions.
Comfortable working in a cross‑functional, data‑intensive environment.
Strong communication and documentation skills.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.
#J-18808-Ljbffr
FinOps Analyst
role at
Loopback Analytics
Employer is not sponsoring for visa status. All applicants must be authorized to work in the United States on a full‑time basis.
Loopback Analytics is looking for a FinOps Analyst to manage, analyze, and optimize cloud and compute costs across our Azure, Databricks, and Snowflake environments, with potential exposure to multi‑cloud platforms such as AWS or GCP.
This role sits within the Data Operations group and collaborates with Engineering, Infrastructure, and Finance teams to drive visibility and accountability in cloud costs, including identification and remediation of inefficient workloads (SQL, Python) and data pipelines that inflate costs.
Ideal candidates have hands‑on experience in cloud cost management, billing analytics, and operational optimization — and are comfortable diving deep into both data and process improvement.
Key Responsibilities
Monitor and analyze cloud spend across Azure, Databricks, and Snowflake (if applicable).
Build cost tracking and reporting dashboards using native tools (Azure Cost Management, Databricks Billing APIs & Dashboards, Power BI) and SQL/Python.
Develop tagging and cost‑allocation frameworks to support chargeback and forecasting models.
Partner with Engineering and Infrastructure to optimize compute usage, storage tiers, and licensing.
Recommend query tuning, partitioning and caching strategies to improve performance and reduce cost‑per‑job on Databricks.
Support monthly budget reviews and identify trends, anomalies, and optimization opportunities.
Manage governance policies for resource provisioning and cost alerts.
Partner with Information Security to ensure FinOps practices and cost controls align with SOC2 and HIPAA compliance requirements.
Provide insights into FinOps maturity and recommend process improvements.
Qualifications Required
5–7 years of experience in FinOps, Data Operations, Cloud Cost Analysis, or related roles.
Hands‑on experience with Azure Cost Management, Databricks, and Windows infrastructure.
Solid analytical and SQL skills; comfort with scripting in Python or PowerShell.
Familiarity with tagging strategies, cost attribution, and usage‑based billing.
Strong understanding of cloud services (compute, storage, networking) and pricing models.
Ability to communicate technical findings to financial and non‑technical audiences.
Preferred
Experience in healthcare data platforms or regulated data environments (HIPAA).
Exposure to Snowflake and data warehouse cost optimization.
Familiarity with Databricks Dashboards or Power BI or Looker for cost reporting.
FinOps Foundation certification or training a plus.
Soft Skills
Detail‑oriented and data‑driven.
Proactive in identifying inefficiencies and suggesting pragmatic solutions.
Comfortable working in a cross‑functional, data‑intensive environment.
Strong communication and documentation skills.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.
#J-18808-Ljbffr