Consultant, Data Analytics

Overview

Hands-on data analytics role supporting the asset management team, acting as the data subject matter expert within a cross-functional Scrum team.

What you'll do

• Lead data analysis and reporting initiatives to deliver actionable insights for asset management operations.
• Drive sourcing on new datasets, functional design and mapping, and data modeling to support consumption needs.
• Own data validation and quality management.
• Demonstrate advanced competence in database systems, including SQL and Power BI.
• Apply strong mathematical, analytical, and problem-solving skills to address business challenges.
• Act as the primary data SME within a Scrum team, collaborating with stakeholders and facilitating discussions to reach decisions.
• Build and maintain strong relationships within the team and across departments.
• Deliver high-quality work products requiring minimal revision and ensure significant financial, client, and internal business impact.
• Provide mentorship and guidance to less experienced team members, fostering knowledge sharing and professional development.
• Participate in business stakeholder meetings and interact with Senior Management, presenting data-driven recommendations.

What you'll need

• At least 5 years of experience in data analysis, preferably within asset management or financial services.
• Bachelor's degree in a related field (e.g., Economics, Finance, Mathematics, Computer Science) or equivalent work experience.
• Proficiency in asset management data including AUM and Flows, Performance and Attribution, Fees, Benchmark and Securities, Account onboarding, and ESG.
• Proficiency in relational database concepts, querying, and data warehouse management.
• Hands-on experience with analytics tools such as Microsoft Business Intelligence Suite, QlikView, or similar.
• Ability to manipulate and analyze large datasets, translating findings into clear, actionable insights.
• Experience in requirements gathering and using decision support tools.
• Hands-on SQL and Python knowledge.
• Strong communication and project management skills.
• Demonstrated ability to work effectively in a Scrum/agile environment.

Details

• Location: Bangalore, India.