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About the Role

State Street Alpha Data Implementation is seeking individuals with subject matter expertise in financial instruments and Asset Management Data Domains to join our team as an Implementation Business Analyst. This role is crucial for the growth of our Alpha Data Services offering, involving collaboration with clients and internal teams to define requirements, manage dependencies, and drive enhancements for Front, Middle, and Back Office managed data services.

Responsibilities

Contribute to the integration of new data services and sources by participating in requirement gathering, testing, and support of newly developed features within scaled agile teams.
Collaborate with Development teams and Project Managers to establish project delivery plans and estimates for client middle or back-office data integration projects.
Guide clients on required reference data, setups, and mapping during initial client implementations.
Define and maintain standards for data ingestion, enrichment, and validation of client portfolio data into the Enterprise Data Management solution.
Perform in-depth analysis of the functional capabilities of existing and emerging data platforms.
Document product specifications and prepare business cases for development in scaled agile rooms.
Capture ongoing enhancements to the scope of services for existing clients and incorporate them into the roadmap.
Create and maintain client-facing documentation.
Perform Subject Matter Expert activities, including consultancy, implementation configuration, and demonstrations, by maintaining an excellent working knowledge of the service offering.

Requirements

Bachelor's degree or higher in Finance, Accounting, Computer Science, Information Systems, or a related discipline.
5+ years of experience working with investment accounting, portfolio management, investment operations, or financial data across various asset classes.
Experience supporting software implementation projects, data onboarding initiatives, platform migrations, or enterprise data services programs within the financial services industry.
Good understanding of investment management operating models and the data lifecycle from front office through downstream consumers.
Proven experience conducting client workshops and requirements gathering sessions.
Strong data analysis and data mapping skills, including creation of source-to-target mappings, transformation rules, data dictionaries, business rules, and cross-reference documentation.
Experience with ETL/ELT processes, data ingestion frameworks, and data integration solutions.
Ability to analyze source system data structures and reconcile data between upstream platforms, operational systems, and target data warehouses.
Experience performing data profiling, root-cause analysis, data quality assessments, exception resolution, and reconciliation activities.
Understanding of data governance concepts including data quality, metadata management, data cataloging, lineage, stewardship, controls, and ownership.
Strong understanding of relational data models, dimensional data modeling concepts, and data warehouse architectures.
Knowledge of security master, reference data, benchmark data, pricing data, corporate actions, positions, transactions, and performance measurement data domains.
Familiarity with data lineage, traceability, impact analysis, and end-to-end data flow documentation.
Working knowledge of data structures and data models within investment platforms such as Aladdin, CRIMS, Charles River, Eagle, or other Front Office and Investment Management platforms.
Strong SQL skills with the ability to write complex queries, joins, aggregations, reconciliation queries, and validation scripts.
Experience working with structured and semi-structured data formats including SQL tables, CSV, XML, JSON, and Parquet.
Exposure to cloud-based data and analytics platforms such as Snowflake, Databricks, AWS, Azure, or Google Cloud.
Familiarity with reporting and business intelligence tools such as Power BI, Tableau, ThoughtSpot, or similar platforms.
Understanding of API-based integrations, file-based interfaces, data exchange patterns, and system integration concepts.
Experience supporting System Integration Testing (SIT), User Acceptance Testing (UAT), parallel testing, data validation, and production readiness activities.
Understanding of conversion, migration, cutover, and implementation activities associated with large-scale data onboarding programs.
Strong communication and stakeholder management skills.
Experience working in Agile delivery environments utilizing tools such as JIRA, Rally, Azure DevOps, or similar platforms.
Highly detail-oriented with a strong sense of ownership, accountability, and follow-through.
Proficient in Microsoft Office tools including Excel, Word, PowerPoint, and Visio.
Team-oriented and comfortable working in a collaborative, global environment.
Self-motivated, adaptable, and capable of managing multiple priorities in a fast-paced environment.

Skills

Financial instrument types
Asset Management Data Domains
Data Services Integration
Requirement Gathering
Testing
Scaled Agile
Client Implementation
Data Ingestion
Data Enrichment
Data Validation
Enterprise Data Management
Data Platform Analysis
Product Specification Documentation
Business Case Preparation
Roadmap Planning
Client Facing Documentation
Subject Matter Expertise
Consultancy
Implementation Configuration
Demonstrations
Investment Accounting
Portfolio Management
Investment Operations
Financial Data Analysis
Fixed Income Data
Equities Data
Derivatives Data
Forwards Data
Futures Data
Cash Data
Positions Data
Settlements Data
General Ledger Data
NAV Data
Corporate Actions Data
Pricing Data
Benchmark Data
Software Implementation Support
Data Onboarding
Platform Migrations
Enterprise Data Services Programs
Investment Management Operating Models
Investment Data Lifecycle
Client Workshops
Requirements Elicitation
Requirements Documentation
Requirements Validation
Requirements Prioritization
Data Analysis
Data Mapping
Source-to-Target Mapping
Transformation Rules
Data Dictionaries
Business Rules
Cross-Reference Documentation
ETL/ELT Processes
Data Ingestion Frameworks
Data Integration Solutions
Source System Data Structure Analysis
Data Reconciliation
Data Profiling
Root-Cause Analysis
Data Quality Assessment
Exception Resolution
Data Governance Concepts
Metadata Management
Data Cataloging
Data Lineage
Data Stewardship
Data Controls
Data Ownership
Relational Data Models
Dimensional Data Modeling
Data Warehouse Architectures
Fact Structures
Dimension Structures
Security Master Data
Reference Data Management
Pricing Data Management
Corporate Actions Data Management
Positions Data Management
Transactions Data Management
Performance Measurement Data
Traceability
Impact Analysis
End-to-End Data Flow Documentation
Aladdin Platform
CRIMS Platform
Charles River Platform
Eagle Platform
Front Office Platforms
Investment Management Platforms
SQL Querying
SQL Joins
SQL Aggregations
SQL Reconciliation Queries
SQL Validation Scripts
Structured Data Formats
Semi-structured Data Formats
SQL Tables
CSV
XML
JSON
Parquet
Cloud Data Platforms
Snowflake
Databricks
AWS
Azure
Google Cloud
Reporting Tools
Business Intelligence Tools
Power BI
Tableau
ThoughtSpot
API Integrations
File-based Interfaces
Data Exchange Patterns
System Integration
System Integration Testing (SIT)
User Acceptance Testing (UAT)
Parallel Testing
Data Validation
Production Readiness
Conversion Activities
Migration Activities
Cutover Activities
Large-scale Data Onboarding
Communication Skills
Stakeholder Management
Agile Delivery Environments
JIRA
Rally
Azure DevOps
Detail Orientation
Ownership
Accountability
Follow-through
Microsoft Office Suite
Microsoft Excel
Microsoft Word
Microsoft PowerPoint
Microsoft Visio
Teamwork
Collaboration
Adaptability
Priority Management

Location

Remote

Work Type

Full-time

Experience Level

5+ years of experience

Education Level

Bachelor's degree or higher

Benefits

Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks

About the Company

Institutional investors rely on State Street to help them manage risk, respond to challenges, and drive performance and profitability.
State Street is committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
State Street offers inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks.

Equal Opportunity

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.