Senior Implementation Analyst — Asset Data Solutions

State Street; Burlington (MA); On-site; USD 110,000 - 189,000; Full time

Benefits offered by this job

401K with company match

Comprehensive benefits

Paid time off

Job summary

State Street seeks an experienced Implementation Business Analyst for its Alpha Data Services team. You will work with clients, data and technology leads to translate requirements, map reference data, and drive data integration across front, middle and back offices.

The role requires deep knowledge of asset types, accounting data, and cloud data platforms, with strong SQL, data modeling, and API experience. Competitive benefits and professional growth await.

Qualifications

• Bachelor’s degree or above.
• 10+ years across asset types and accounting data.
• Experience with data management systems and back-office data integration.
• Strong SQL for data querying, validation, and reconciliation.
• Hands-on with Snowflake or similar data warehouse platforms.
• Knowledge of ETL/ELT and data integration pipelines.
• Experience with APIs, flat files, and vendor data feeds.
• Familiarity with data governance, lineage, and data modeling.

Responsibilities

• Contribute to integration of new data services and requirements gathering.
• Collaborate with clients and internal teams to establish delivery plans.
• Guide clients on reference data setups and mappings.
• Define standards for data ingestion, enrichment, and validation.
• Analyze data platform capabilities and document product specs.
• Capture enhancements and update the roadmap for services.
• Create client-facing documentation and demonstrations.
• Maintain SME knowledge across front-, middle-, back-office data domains.

Skills

SQL

Snowflake

Data governance

ETL/ELT

Data modeling

APIs

JIRA

Communication

Education

Bachelor’s degree or above

Tools

Snowflake

BI Tools

Excel

JIRA

Rally/RTC

Job description

State Street seeks an experienced Implementation Business Analyst for its Alpha Data Services team. You will work with clients, data and technology leads to translate requirements, map reference data, and drive data integration across front, middle and back offices.

The role requires deep knowledge of asset types, accounting data, and cloud data platforms, with strong SQL, data modeling, and API experience. Competitive benefits and professional growth await.