Data Platform Analyst

Responsibilities

Develop an expert understanding of GMO’s reference data flow within internal databases and vendor applications: BlackRock Aladdin, NeoXam DataHub, and Eagle PACE

Act as the NeoXam DataHub application subject matter expert: validate portfolio master and other reference data, resolve production issues, and ensure scalable integration with downstream systems

Through hands-on operational execution, identify recurring issues, process gaps, and data quality risks; translate findings into business requirements and recommendations for workflow, control, automation, and data quality improvements

Analyze data in multiple databases and use a combination of vendor toolsets, Python, SQL, and Excel to develop recommendations to improve data quality

Support the design, governance, and transformation activities for portfolio, security master, and reference data across enterprise platforms, including data model review, conversion analysis, controls, and cross-functional stakeholder alignment

Think critically to help automate or improve processes and procedures (e.g. control reports, daily checklist)

Create business requirements for the onboarding of new datasets and collaborate with software developers to test and implement data processing/storage

Explore artificial intelligence tools to enhance existing reference data operations, data quality controls, and production monitoring processes

Participate in the team’s evolution from manually maintaining data to maintaining and monitoring data definitions, quality service-level expectations, exception thresholds, and downstream consumption patterns

Partner with data engineering and business stakeholders to modernize static data quality rules, such as null checks, format checks, and cross-field validations, by introducing contextual quality validation that can learn from historical data, market behavior, and cross-dataset relationships

Required Skills

10+ years of relevant investment industry experience, working with reference or research data

Strong expertise in portfolio/security master data structures and lifecycle events

Hands-on experience with NeoXam DataHub (mandatory)

Strong data analysis skills using python and SQL; ability to work with large datasets

Proven experience supporting or leading security master platform conversions/migrations

Working knowledge of Artificial Intelligence tools and a demonstrated interest in applying them to evolving business needs

High energy and positive attitude – candidate should be conscientious, self-directed, and possess a strong work ethic

Flexibility to be on call to log in at night as needed on a rotational basis

Intellectual curiosity about investment data

Attention to detail with a focus on data quality and control

Strong analytical, organizational, project management, and written communication skills.

Familiarity with BlackRock Aladdin

Familiarity with financial market data providers (Bloomberg, LSEG, ICE)