Liaise with business and technology teams to align on data project goals and priorities
Ask insightful questions to surface requirements, uncover gaps, and drive clarity across stakeholder groups
Lead working sessions with business leaders to gather data and process requirements
Aggregate and analyze data across multiple systems, including profiling, design, and definition to identify the root cause of issues
Map and assess business processes, identifying pain points and opportunities for improvement
Synthesize findings into clear, actionable insights and present recommendations to stakeholders
Collaborate with Data Stewards to develop business data taxonomies and conceptual data models
Translate complex data findings and recommendations into structured analyses and executive-ready presentations
Requirements
Required
5+ years of experience in data and business analysis
Proven ability to perform data discovery, profiling, and analysis in a matrixed organization
Experience in business process mapping and requirements definition
Strong written and verbal communication skills, with the ability to present to all levels of the organization
Strong proficiency in Microsoft Excel (data modelling, pivot analysis, structured outputs) and PowerPoint (slide logic, executive storytelling); able to make complex findings accessible to non-technical audiences
Detail-oriented, self-directed, and able to manage multiple workstreams simultaneously
Preferred
Experience in Consulting, Asset Management, or Financial Services
Familiarity with financial services data domains including: Product, Party, Client, Securities, Pricing, Accounts, Trade, Transaction, Performance, and Corporate Actions
Experience with BI tools such as Tableau or Business Objects
Technical Skills
Hands-on experience with one or more: SQL, Python, R, Java, JavaScript, REST, JSON, XML, VBA
Familiarity with data governance and management platforms such as Collibra, Alation, Ab Initio, or Informatica (MDM, DQ, ETL, metadata management)
Working knowledge of data management disciplines including: Data Architecture, Data Quality, Data Profiling, Data Catalogs, Data Glossaries, Data Taxonomy, Metadata, and Reporting/Visualization
Location: New York City; hybrid with a minimum of three days per week in office.
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Applicants must be authorized and have the right to work in the country where the role is located without the need for current or future sponsorship.
Compensation Details
Benefits
Dental insuranceVision insurancePerformance bonus
Additional Information
The Enterprise Data Governance organization is a centralized group which partners with the broader data organization to ensure data is accurate, accessible, and aligned to business objectives across the firm. We're looking for a consultative data professional who can drive meaningful improvements in data quality and usability at an enterprise scale.
In this role, you'll partner across the business on operational transformation initiatives - defining identifying gaps, enhancing data integrity, and expanding access to trusted data that teams can act on.
Nb · New York, NY