FinOps Analyst
Jfrog
FinOps Analyst at Jfrog is a full time role based in Bangalore, Karnataka, India. It was published on 24 March 2026 and was open at last check.
| Role | FinOps Analyst |
|---|---|
| Company | Jfrog |
| Location | Bangalore, Karnataka, India |
| Employment type | Full Time |
| Published | 24 March 2026 |
| Status | Open at last check |
Fast-Frogward Your Career to Years From Now
JFrog is the only end-to-end software supply chain platform that provides complete visibility, security, and control for automating the delivery of trusted releases from code to production. Our platform enables organizations to manage, secure, and automate their software delivery process, fueling innovation without worry. We empower companies to build and release software faster and more securely than ever before.
With over 7,500 customers worldwide, including many Fortune 100 companies, JFrog is at the forefront of global innovation. Join us in shaping the future of software delivery and contributing to solutions that empower some of the world's most influential industries.
We are seeking a Analytics Engineer – Cloud & FinOps to help drive data-driven decision making across our cloud infrastructure and platform operations.
This role will focus on building analytics solutions that provide visibility into cloud costs, infrastructure utilization, and platform usage patterns. The engineer will develop data pipelines, analytical models, and automated insights that connect cloud billing data, infrastructure telemetry, and business metrics. Working closely with Cloud Platform Engineering, SRE, and Product teams, this role will help the organization better understand how infrastructure usage and engineering decisions impact cloud spend and operational efficiency.
Our platform operates in a large-scale multi-cloud environment, generating significant volumes of infrastructure and operational data. The ideal candidate enjoys working with complex datasets and building analytical systems that help engineering teams understand cost drivers, infrastructure behavior, and system efficiency.
In addition, the role is expected to leverage modern AI-driven analytics tools and models (e.g., LLM-based analysis, automated insight generation, and intelligent data exploration) to enhance data processing, pattern detection, and decision support capabilities. Experience working with such tools is highly valued.
What will be your core responsibilities
- Analyze cloud cost and usage data across multiple cloud providers to identify cost drivers, trends, and optimization opportunities.
- Develop analytical frameworks that connect infrastructure usage, operational metrics, and business activity.
- Support FinOps initiatives by improving visibility into how platform workloads and engineering decisions influence cloud spend.
- Investigate cloud cost anomalies and infrastructure changes to identify root causes and improvement opportunities.
- Design and maintain data pipelines and transformations that ingest data from sources such as:
- cloud billing exports
- infrastructure telemetry
- operational metrics
- internal product and business systems
- Build scalable analytics datasets and data models optimized for infrastructure and cost analysis.
- Ensure data accuracy, consistency, and governance across analytical datasets
- Analyze large datasets to identify relationships between system behavior, infrastructure utilization, and cloud cost patterns.
- Develop analytical frameworks supporting:
- cloud cost allocation and unit economics
- infrastructure utilization analysis
- capacity planning
- operational performance monitoring
- Translate complex datasets into clear insights and recommendations for engineering and leadership teams.
- Leverage modern AI-assisted tools to accelerate data exploration, analysis, and investigation.
- Build automated workflows that help teams identify cost anomalies, usage trends, and system behavior changes more efficiently.
Required Skills for this role
- Experience working with modern data platforms such as: Redshift, BigQuery, Snowflake
- Experience with analytics and visualization tools such as: Tableau / Looker / Power BI / QuickSight
- Strong SQL and data modeling expertise
- Python for data analysis and automation
- Strong analytical thinking and problem-solving skills
- Experience working with large-scale operational or infrastructure dataset
- Experience using AI-assisted development tools such as Cursor, Claude, Copilot, or similar
- Strong analytical and problem-solving abilities
- Ability to translate complex infrastructure data into clear and actionable insights
- Comfortable working in cross-functional engineering environment
Advantage:
- Experience working with cloud infrastructure data (AWS, Azure, or GCP)
- Familiarity with cloud billing datasets and cost management analytics
- Experience analyzing large-scale infrastructure or telemetry data
- Experience working in FinOps, cloud operations, platform engineering, or infrastructure analytics environments
- Familiarity with Kubernetes or distributed systems environments
Create your free OnJob profile to apply — we'll take you to Jfrog's application after sign-up. · Posted 24 Mar 2026.
FinOps Analyst at Jfrog — questions answered
What does the FinOps Analyst role at Jfrog pay?
Jfrog does not publish a salary on this FinOps Analyst listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the FinOps Analyst role at Jfrog based?
Jfrog lists this FinOps Analyst role in Bangalore, Karnataka, India, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with Jfrog before you apply.
Is the FinOps Analyst role at Jfrog still open?
The FinOps Analyst posting at Jfrog was open at OnJob's last check of the employer's careers page, having been published on 24 March 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the FinOps Analyst role at Jfrog?
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