Senior Business Analyst Operations

Company Overview

Attentive.ai is a fast-growing vertical Software as a Service (SaaS) firm backed by leading global investors, including Insight Partners, InfoEdge Ventures, Vertex Ventures, Partners, Tenacity Ventures, and Peak XV (Surge). Fresh off our Series B raise, we have a proven foundation in our AI-based platform - Beam AI. We’re now expanding into a fully automated software ecosystem with AI-powered workflows for estimating, bidding, and improved collaboration for the construction and field services industries across the US and Canada. Our mission is to help businesses automate preconstruction workflows, improve operations, and drive revenue through simple, powerful, industry-focused products.

Job Summary

We are looking for a sharp, detail-oriented Management Information Systems (MIS) Professional to own the reporting and analytics function within a fast-growing, high-volume delivery operations team. This role is pivotal in translating complex operational data into clear, actionable insights, helping enhance delivery and leadership teams' efficiency.

Responsibilities

• Design, build, and maintain real-time operational dashboards on Apache Superset and other Business Intelligence (BI) tools.
• Own the performance reporting cycle, producing weekly, monthly, and quarterly reports with variance analysis, trend identification, and exception flags.
• Develop and automate the monthly performance evaluation model, calculating weighted composite scores across multiple metrics for incentive and appraisal purposes.
• Build and manage workforce productivity tracking, monitoring output efficiency against defined benchmarks and identifying patterns of underperformance.
• Integrate data from multiple operational platforms into a unified reporting layer, ensuring a single source of truth across all Key Performance Indicator (KPI) views.
• Define and enforce data governance standards to ensure consistent application and documentation of metric definitions and calculation logic across reports.
• Manage ad hoc data requests from operational and leadership stakeholders within agreed service levels.
• Partner with product and technology teams to instrument operational systems for automated data capture, reducing reliance on manual tracking.
• Maintain and improve the quality and accuracy of underlying data by proactively addressing data integrity issues.

Qualifications

• Hands-on experience with MIS, analytics, or BI in a Business Process Outsourcing (BPO), outsourcing, or high-volume service delivery environment.
• Proficiency with Apache Superset, including dashboard creation, dataset configuration, custom SQL, filters, and drill-downs.
• Strong working knowledge of at least one additional BI tool, such as Power BI, Tableau, or Metabase.
• Advanced SQL skills, including complex joins, window functions, Common Table Expressions (CTEs), and query optimization.
• Proficient in Advanced Excel, including pivot tables, complex formulas, and data modeling for operational reporting.
• Experience in building automated scoring, ranking, and incentive calculation models.
• Ability to work from process-level metric definitions and translate them into data models without pre-built schemas.
• Strong analytical thinking and problem-solving skills, demonstrating the ability to surface anomalies and identify patterns.

Preferred Skills

• Experience with Python (pandas, numpy) for data pipeline and transformation work.
• Familiarity with REST API data extraction from SaaS platforms.
• Prior exposure to workforce management, productivity tracking, or incentive management systems.
• Knowledge of Lean measurement frameworks.

Experience

• 8-10 years of relevant experience in business analysis or a related field.

Environment

• Full-time position based in Noida, within a dynamic work environment that fosters continuous improvement and adaptation.

Salary

• Salary details are not specified.

Growth Opportunities

• Opportunities for career advancement as the company expands and evolves, especially for individuals who demonstrate ownership of data quality and operational excellence.

Benefits

• Benefit details are not specified.