Data Analyst

Job Title

Job Title

Job Description

Assist with mathematical, statistical, and economic methods to determine market conditions, project consumer needs, and inform business initiatives. Identify trends from modeling and inform other lines of business such as product development and marketing decisions. Help develop data mining models, statistical reporting, and data analysis methodologies to identify key customer segments and simulate the impact of potential future business decisions. Develop detailed reports and conclusions for business, finance, and investment management based on data summaries. Recognize areas of opportunity and risk through data analysis and modeling and report findings. Provide information for additional research and analysis in line with statistical methodology. Assist other areas of the business to model the potential outcomes of implementing various business strategies.

Requirements

University degree preferred. Minimum 2 years of work experience required. Hands-on experience in Reference Data/Security Master/Investment Data Management roles within asset management, investment banking, or financial services firms. Strong working knowledge of Eagle (PACE, STAR, Data Management) and data management processes. Proficient with Bloomberg (BBG Terminal, BBG AIM, BBG PORT) and Charles River (CRD) applications for data sourcing and validation. Solid understanding of financial instruments, including Equities, Fixed Income, Derivatives, and Structured Products. Familiarity with data feeds (e.g., Bloomberg BPIPE, Client, Markit) and static data integration workflows. Excellent verbal and written communication skills for stakeholder interactions (mainly US-based teams). Willingness to work in US time zone (evening/night IST). Ability to analyze process/data exceptions and proven attention to detail. Experience using Microsoft Office suite of products (particularly Excel and VBA) and SQL.

Preferred Skills

SQL or data query/reporting knowledge. Prior exposure to automation or process improvement initiatives (Alteryx, Python, VBA, etc.). Experience working with middle office or front office support environments. Understanding of trade lifecycle and reference data's role in it.

Key Attributes

Detail-oriented and quality-focused. Strong ownership and accountability mindset. Collaborative and able to work in a fast-paced, global environment. Adaptable to changing priorities and technology enhancements. Ability to work relatively independently and in a team-oriented, collaborative environment. Prioritization and problem-solving skills.