FinOps Analyst

JFrog; Bengaluru; Hybrid; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Hybrid work model

In-office 3 days a week (Bangalore)

Job summary

JFrog is seeking an Analytics Engineer – Cloud & FinOps to drive data-driven decisions across cloud infrastructure and platform operations. You will build analytics pipelines, models, and automated insights that connect cloud billing data, telemetry, and business metrics, working with Cloud Platform Engineering, SRE, and Product teams.

The role focuses on cost visibility, usage patterns, and capacity planning in a large-scale multi-cloud environment, with emphasis on AI-assisted analytics tools

Qualifications

• Experience with modern data platforms (Redshift, BigQuery, Snowflake).
• Experience with analytics/visualization tools (Tableau, Looker, Power BI, QuickSight).
• Strong SQL and data modeling capabilities.
• Python for data analysis and automation.
• Experience with large-scale operational or infrastructure datasets.
• Familiarity with AI-assisted development tools such as Cursor, Claude, Copilot.

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, metrics and business activity.
• Support FinOps initiatives by improving visibility into platform workloads and cloud spend.
• Investigate cloud cost anomalies and infrastructure changes to identify root causes.
• Design and maintain data pipelines ingesting data from cloud billing exports, infrastructure telemetry, operational metrics and internal systems.
• Build scalable analytics datasets and data models for cost and infrastructure analysis.
• Ensure data governance and accuracy across analytical datasets.
• Translate complex datasets into clear insights for engineering and leadership.

Skills

Strong SQL

Data modeling

Python for data analysis

Analytical thinking

Problem-solving

Cross-functional collaboration

Tools

Redshift

BigQuery

Snowflake

Tableau

Looker

Power BI

QuickSight

Cursor

Claude

Copilot

Kubernetes

Job description

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

NOTE: We are located in Bangalore (Bellandur) and follow a 3 days from office (mandatory), hybrid work model.