Senior Engineering Intelligence Analyst

Accountabilities:

• Dashboard Development & Maintenance: Build and maintain interactive Looker dashboards covering feature delivery predictions, FTE allocation, resource contention, and overall portfolio health.
• Migrate existing HTML-based dashboards to an enterprise BI environment while preserving and improving their analytical depth and usability.
• Design intuitive, self-service visualizations that enable engineering leaders to explore data and insights independently.
• Implement alerting and anomaly detection to proactively identify risks such as feature slippage, resource over-allocation, and stale work items.
• Data Engineering & Integration: Build and maintain data pipelines integrating Jira REST APIs and Structure exports, Jellyfish APIs, Salesforce, and other internal data sources.
• Use Python and SQL to extract, transform, validate, and load data into a centralized analytics data store.
• Implement automated data quality checks, validation processes, monitoring, and freshness controls to maintain reliable reporting.
• Optimize queries and analytical data models to support fast, responsive dashboard performance.
• Manage API authentication, rate limits, incremental synchronization, error handling, and other integration requirements.
• Analysis & Insight Support: Support senior leadership with executive-ready analyses, reporting, and insight presentations.
• Conduct ad-hoc analyses covering feature delivery trends, team capacity, engineering investment patterns, cycle times, and other operational drivers.
• Develop reusable analytical templates and frameworks that can be refreshed with new data across reporting cycles.
• Document data lineage, calculation methodologies, dashboard logic, and analytical processes to support transparency and auditability.
• Collaborate with Engineering Service Owners, Engineering Operations, Delivery Managers, Technical Program Managers, Product Managers, and Product Operations.

Requirements

• Minimum 5 years of experience in analytics engineering, data engineering, business intelligence, or a related technical analytics role.
• Strong SQL capabilities, including complex joins, window functions, CTEs, and query performance optimization.
• Proficiency in Python for data processing, including tools such as pandas and requests and experience developing scheduled jobs.
• Hands-on experience with Looker, including data modeling, dashboard development, and performance optimization.
• Experience building and maintaining ETL/ELT pipelines using REST API-based data sources.
• Familiarity with Jira and a strong understanding of software delivery lifecycles, Agile methodologies, and engineering organization structures.
• Strong data visualization skills, with the ability to create dashboards that communicate clear stories and actionable insights rather than simply displaying metrics.
• Excellent attention to data quality, accuracy, documentation, and analytical consistency.
• Preferred experience with Jira APIs, Jira Structure, and the broader Atlassian ecosystem at scale.
• Familiarity with Jellyfish or comparable engineering management platforms is advantageous.
• Experience extracting Salesforce data using SOQL or reports APIs is a plus.
• Experience with cloud data platforms such as BigQuery is beneficial.
• Exposure to engineering metrics such as DORA, velocity, cycle time, and throughput is preferred.
• HTML and JavaScript skills for custom visualizations and rapid prototyping are an advantage.
• Experience working in SaaS or enterprise software environments is desirable.
• Strong analytical thinking, communication, documentation, and cross-functional collaboration skills.

Benefits

• Remote position based in India.
• Opportunity to work on engineering intelligence initiatives supporting a portfolio of 1,000+ features and $100M+ in engineering investment.
• Hands-on exposure to modern analytics engineering, BI, data integration, and engineering management platforms.
• Opportunity to build automated pipelines, self-service dashboards, analytical frameworks, and data quality systems with direct visibility among engineering stakeholders.
• Collaboration with engineering operations, delivery, technical program management, product, and product operations teams.
• Work environment that values diverse backgrounds, perspectives, and skills and supports an inclusive workplace.
• Reasonable accommodations are available for qualified individuals with disabilities throughout the application and interview process.
• No payment is required from applicants as a prerequisite for employment.