Senior Associate – Data Analytics, System Transformation

Role Overview

• Assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk.
• Use advanced analytics, data wrangling technology, and automation tools to leverage data.
• Establish the right processes and structures to enable clients to make efficient and effective decisions based on accurate information.

Requirements

• Experience / Exposure to System Transformation (Pre / Post Implementation) Projects for Audit / Non-Audit clients
• Understanding Data Migration, data governance and data analytics.
• Ability to leverage and possess hands-on working knowledge of visualization software such as Power BI.
• Applying knowledge of data analysis and manipulation products like SQL, Alteryx, Python, and Databricks.
• Engaging in regulation, workforce, financial reporting, and automation.
• Managing complex internal and external stakeholder relationships.
• Thriving in a dynamic consulting environment, with a desire to grow within this setting.
• Managing client engagements and internal projects, including budgets, risks, and quality assurance.
• Preparing reports and deliverables for clients and other stakeholders.
• Developing and maintaining internal and external relationships.
• Identifying and pursuing business opportunities, supporting line management in proposal development, and managing, coaching, and supporting team members.
• Supporting Engagement Managers with engagement scoping and planning activities.
• Coaching team members in task completion.
• Performing advanced data analysis to support test procedures.
• Collaborating effectively with local and regional teams and clients.
• Supporting Engagement Managers in drafting client deliverables for review by Engagement Leaders.
• Managing project economics for engagement teams.
• Conducting basic review activities and providing coaching to junior team members.
• Demonstrates strong critical-thinking ability to evaluate not just the presence of documentation but its quality, clarity, and completeness—proactively identifying gaps, inconsistencies, opportunities for improvement.

Tech Stack

• Python
• SQL

Benefits

• Paid time off
• Professional development opportunities