Senior Python Data Analyst Jobs in Chicago, IL (NOW HIRING)

The Data Analyst identifies current market sector trends and customer patterns through statistical modeling and analytics. This job assists in examining and identifying data trends that help answer business questions and improve decision-making. Working under moderate supervision, this job collects data sources, analyzes data and extracts key information. This job helps monitor and evaluate data quality to meet the organization's information system needs and requirements.

Assists with mathematical, statistical, and economic methods that determine market conditions, project consumer needs and inform business initiatives. Identifies trends found from modelling and informs other lines of business such as product development and marketing decisions. Helps develop data mining models, statistical reporting and data analysis methodologies to identify key customer segments and to simulate impact of potential future business decisions. Works to develop detailed reports and conclusions for business, finance and investment management based on data summaries. Recognizes areas of opportunity and risk through data analysis and modelling and reports findings. Provides information for additional research and analysis in line with statistical methodology. Assists other areas of the business to model the potential outcomes of implementing various business strategies. Educational Requirements University (Degree) Preferred

2+ Years Required; 3+ Years Preferred Physical Requirements: Sedentary Work

Perform end-to-end setup, enrichment, and maintenance of securities and reference data in Eagle and related data management platforms. Validate and reconcile data between Bloomberg, CRD, GoldenSource, Eagle, and internal systems to ensure accuracy and completeness. Execute and monitor daily data feeds, ensuring timely updates and resolving exceptions or breaks. Conduct security master maintenance across multiple asset types — equities, fixed income, derivatives, structured products, and funds. Collaborate with Front Office, Portfolio Management, Compliance, and Operations teams to resolve data discrepancies and support trade enablement. Support data quality initiatives, including automation, process improvements, and data standardization efforts. Participate in UAT testing, change management, and production deployment validation for system enhancements or platform migrations. Maintain comprehensive process documentation and ensure adherence to internal data governance and control frameworks. Handle ad-hoc data requests, issue analysis, and reporting as required by business users or management. Investment Banking / Asset Management Industry experience in an offshored operations environment. Experience working with security data across asset classes including equities, fixed income and derivatives Experience working with entity data across investment vehicles including pooled products, institutional separately managed portfolios or retail separately managed portfolios Knowledge of market data sources, products and tools

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. Exposure to GoldenSource or similar Master Data Management (MDM) tools is highly desirable. Solid understanding of financial instruments, including Equities, Fixed Income, Derivatives, and Structured Products. Familiarity with data feeds (e.g., Bloomberg BPIPE, Refinitiv, Markit) and static data integration workflows. Strong analytical, problem-solving, and data reconciliation skills. 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. Basic knowledge of writing SQL queries. Very good communication skills, written and verbal

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

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