Top Data & Analytics Jobs

Load, validate, normalize, reconcile, and report client investment data using Excel, SQL, VBA, and Python. Work with development teams to automate and improve onboarding, apply accounting and securities knowledge, lead improvements, and coordinate complex activities within an agile environment.

Build and manage data connections, validate and normalize incoming portfolio files, automate monitoring and reporting, improve auto-reconciliation via data mining and transformations, support operations and development requests, and communicate technical solutions to non-technical stakeholders. Participate in light on-call duties.

Supports enterprise data management and reporting for an investment management SaaS platform. Responsibilities include maintaining investment datasets, preparing reports and dashboards, performing data quality checks, documenting data governance standards, supporting ad hoc analytics, and archiving reports for compliance. The intern collaborates across teams and gains experience in financial data, investment analytics, and enterprise data governance.

Monitors and maintains client asset and securities data, validates accuracy against market sources, evaluates data vendors, and supports reference data products. The role responds to data inquiries, documents workflows, performs basic SQL analysis, maintains real-time investment data, ensures risk and control compliance, and analyzes information flows between accounting and custody systems. It also develops expertise in fixed income, equities, corporate bonds, and related investment processes.

Loads, validates, reconciles, and analyzes client investment data using Excel and SQL. Identifies discrepancies, resolves data issues, and improves repeatable onboarding and migration workflows. Collaborates with development teams to enhance automation, accuracy, and delivery speed. Applies accounting, financial markets, securities, normalization, reporting, and reconciliation knowledge while coordinating complex activities in an agile environment.

Maintains and validates financial asset and reference data for clients, including securities, pricing, cash flows, corporate actions, and analytics. Resolves complex data issues, researches market sources, manages provider and client relationships, develops reference data procedures and strategies, supports governance and risk controls, and contributes to cross-functional initiatives. The role also mentors analysts, oversees reference data operations, and participates in client interactions and industry events.

Creates and manages data connections, validates and transforms client files, integrates external APIs and FTP feeds, and normalizes portfolio data into Clearwater’s standardized format. Monitors and automates daily processes, improves auto-reconciliation, resolves data issues, and implements operational enhancements. Communicates technical workflows to stakeholders, documents procedures, and provides light on-call support.

The role involves improving reconciliation processes, training, project management, and providing expert guidance on data flow and reconciliation tools. Responsibilities include conducting training sessions, ensuring compliance, and leading automation initiatives.

The Lead Data Migration Specialist enhances system automation and accuracy, handling data collection, analysis, and onboarding. They resolve discrepancies, implement optimizations, and collaborate with development teams, ensuring efficient data management and continuous service improvement.

Maintain and transform investment data by building data systems and pipelines, performing complex analysis, combining multiple sources, improving data quality, and presenting results via visualization. Collaborate with clients, system architects, and product teams to deliver actionable insights and analytical tools for data-driven decisions.