Data Management Analyst

GMO

. Develop understanding of GMO's data architecture, data flows, business processes, internal platforms, databases, and vendor applications .

Posted 10/5/2026full-timeBoston • Massachusetts • United StatesMid-LevelSenior💰 $100,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management, including data architecture, governance, and quality assurance, while leveraging Python and SQL for data analysis and automation. Proven ability to collaborate with cross-functional teams to translate business requirements into technical solutions and enhance operational processes.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData Governance StandardsInvestment Data PlatformsData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ValidationData AutomationRelational DatabasesData OnboardingData EnrichmentMonitoring FrameworksControl ProceduresTechnical DocumentationCloud Adoption

Soft Skills

Analytical SkillsProblem-Solving SkillsAttention to DetailOrganizational SkillsWritten Communication

Tools & Technologies

NeoXam DataHubBlackRock AladdinEagle PACEBloombergLSEGICE

Industry Keywords

Asset ManagementFinancial ServicesInvestment OperationsReference DataMarket Data

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Develop understanding of GMO's data architecture, data flows, business processes, internal platforms, databases, and vendor applications
Design and maintain automated data onboarding, validation, and enrichment processes across the Enterprise Data Warehouse, internal systems, and third-party platforms
Build and enhance monitoring, alerting, and control frameworks for data quality issues, operational exceptions, and processing failures
Analyze data across systems and databases to identify root causes, recurring issues, control gaps, and automation opportunities
Partner with Operations, Investment, Compliance, Client Service, and Data Engineering teams
Translate business and operational requirements into technical specifications
Develop and maintain Python, SQL, API, and data-platform solutions for validation, reconciliation, exception management, reporting, and workflow automation
Support data integrations, platform enhancements, vendor connectivity, and system modernization
Establish and maintain data governance standards, lineage, ownership, quality rules, controls, and metadata management
Create technical documentation, support models, control procedures, data dictionaries, and operational runbooks
Identify opportunities to reduce manual effort, improve scalability, strengthen controls, and increase data-process reliability
Support cloud adoption, data migrations, and conversion initiatives through mapping, testing, automation, validation, and issue resolution
Evaluate and implement automation, artificial intelligence, and advanced analytics capabilities
Contribute to reusable data-management frameworks, tools, and services

Requirements

What you’ll need

Bachelor's degree or equivalent relevant experience
3-7 years of experience in asset management, financial services, investment operations, data management, reference data, security master, portfolio data, market data, or investment technology
Experience using Python or similar tools for data analysis, validation, or automation
Working knowledge of relational databases and experience using Python and SQL for data analysis and issue investigation
Experience working with financial, operational, or enterprise data across multiple systems
Experience with investment data platforms such as NeoXam DataHub, BlackRock Aladdin, and Eagle PACE
Familiarity with financial market data providers such as Bloomberg, LSEG, or ICE
Strong analytical and problem-solving skills
Strong attention to detail and focus on data quality, controls, and operational reliability
Ability to document processes and requirements and collaborate with business and technology stakeholders
Strong organizational, written communication, and time-management skills
Conscientious, self-directed, and collaborative, with intellectual curiosity and a strong work ethic
Flexibility to participate in rotational after-hours support as needed
GMO will not offer visa sponsorship for this opportunity

Benefits

Comp & perks

Discretionary annual bonus award
Medical insurance
Dental insurance
Life insurance
Long-term disability coverage
401(k)/profit-sharing retirement plan
Open paid time off
Leaves of absences
Dependent care resources
Tuition reimbursement
Charitable gifts matching
Flexible spending accounts
Commuter benefits