Senior Engineering Intelligence Analyst

Accountabilities: Design, develop, and maintain interactive business intelligence dashboards that provide visibility into engineering performance, portfolio health, delivery forecasts, and resource utilization.

Build and optimize scalable data pipelines by integrating data from multiple enterprise platforms, APIs, and cloud data sources to create reliable, automated analytics workflows.

Develop and maintain efficient data models that establish trusted, centralized engineering metrics while ensuring data quality, consistency, and governance.

Write high-performance SQL queries and Python scripts to extract, transform, validate, and automate large datasets for reporting and analysis.

Implement monitoring, alerting, and anomaly detection capabilities to proactively identify delivery risks, resource constraints, and operational issues.

Partner with engineering, product, and business stakeholders to gather requirements, translate business needs into technical solutions, and deliver executive-ready analyses.

Document data lineage, reporting logic, and metric definitions to ensure transparency, scalability, and long-term maintainability of analytics solutions.

Requirements

5 to 8 years of experience in analytics engineering, data engineering, business intelligence, or a related technical analytics role.

Expert-level proficiency in SQL, including complex joins, window functions, common table expressions (CTEs), and query optimization.

Strong Python programming skills with experience building data processing pipelines, automation scripts, and ETL/ELT workflows.

Hands-on experience designing advanced dashboards and semantic data models using Looker and LookML.

Experience integrating REST APIs and building scalable data pipelines across multiple enterprise systems.

Solid understanding of software development lifecycle (SDLC), Agile methodologies, and engineering delivery processes.

Experience working with cloud-based data platforms, preferably Google BigQuery, along with strong knowledge of data modeling, governance, and performance optimization.

Familiarity with engineering tools such as Jira, Jira Structure, Jellyfish, Salesforce, or similar engineering management platforms is highly desirable.

Knowledge of engineering performance metrics, including DORA metrics, flow efficiency, cycle time, throughput, and related operational KPIs.

Strong analytical thinking, communication, and stakeholder management skills with the ability to present complex technical insights clearly to both technical and business audiences.

Experience with HTML, JavaScript, or custom visualization development is considered an advantage.

Benefits

Full-time opportunity based in India.

Opportunity to work with modern cloud technologies, enterprise analytics platforms, and large-scale engineering datasets.

Exposure to advanced business intelligence, data engineering, and engineering performance analytics initiatives.

Collaborative, cross-functional environment focused on innovation, continuous improvement, and technical excellence.

Opportunities to influence engineering strategy through data-driven insights and executive-level reporting.

Professional growth through challenging projects and exposure to modern analytics technologies.

Inclusive and diverse workplace committed to equal opportunity and employee development.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

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