Associate/Sr. Associate - Delivery Operations

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for an Associate / Senior Associate – Delivery Operations to support the Delivery Excellence function through effective operational coordination, staffing data management, and reporting. This role requires strong attention to detail, operational rigor, and the ability to manage high-volume transactional activities that drive accurate cost allocation, workforce visibility, and business insights for senior leadership.

Responsibilities:

Manage and maintain accurate operational data across internal systems, including CRM/Dossier, ensuring data integrity and consistency.

Execute resource allocation and cost allocation activities while reconciling project information against Statements of Work (SoW) and billing systems.

Act as a primary coordination point between Client Partners (CPs), Offshore Staffing Teams, and FinOps for operational and administrative processes.

Support project setup activities, financial data validation, and resource deployment tracking to ensure seamless delivery operations.

Generate, maintain, and distribute daily, weekly, and monthly operational reports for leadership and stakeholders with high accuracy and timeliness.

Ensure adherence to reporting standards, defined formats, and data quality requirements across all deliverables.

Collaborate effectively with multiple onshore and offshore support functions to streamline operational workflows and manage interdependencies.

Maintain strict governance, confidentiality, and compliance standards while handling sensitive employee and operational data.

Support continuous improvement initiatives by identifying operational gaps, improving reporting efficiency, and enhancing data management processes.