Alpha Data Implementation Analyst: Finance Data Solutions

STATE STREET CORPORATION; Burlington (MA); Hybrid; USD 80,000 - 140,000; Full time

Benefits offered by this job

401(k) with company match

Medical, dental, vision benefits

Paid time off

Job summary

State Street is seeking an Implementation Business Analyst to help integrate client data services across front, middle, and back office data platforms. You will collaborate with clients and Architecture leads to articulate requirements, map reference data, and drive data ingestion standards.

The role emphasizes data governance, ETL/ELT processes, and ensuring data quality throughout the lifecycle from ingestion to reporting, in a fast-paced, global environment.

Qualifications

• Bachelor’s degree or higher in Finance, Accounting, Computer Science, Information Systems, or a related discipline.
• 5+ years of experience with investment accounting, portfolio management, or financial data across asset classes.
• Experience with software implementation projects, data onboarding, or enterprise data services in financial services.
• Strong understanding of investment management operating models and data lifecycle from front office to accounting.

Responsibilities

• Support integration of new data services by gathering requirements, testing, and supporting features in scaled agile teams.
• Lead client workshops to elicit, document, and prioritize business, functional, and data requirements.
• Define and maintain standards for data ingestion, enrichment, and validation of client portfolio data.

Skills

SQL

ETL/ELT

Data governance

Agile

JIRA/Azure DevOps

Education

Bachelor’s degree or higher in Finance, Accounting, Computer Science, Information Systems

Tools

Power BI

Tableau

ThoughtSpot

Snowflake

Databricks

Job description

State Street is seeking an Implementation Business Analyst to help integrate client data services across front, middle, and back office data platforms. You will collaborate with clients and Architecture leads to articulate requirements, map reference data, and drive data ingestion standards.

The role emphasizes data governance, ETL/ELT processes, and ensuring data quality throughout the lifecycle from ingestion to reporting, in a fast-paced, global environment.