

BNY Eagle Data Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a BNY Eagle Data Analyst with a contract length of "W2 or C2C" and a pay rate of "unknown." Requires expertise in Eagle platform modules, SQL, Python, and data transformation, with a focus on investment data domains and data lineage.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
July 10, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Unknown
-
π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Data Mart #Data Lineage #Data Layers #Compliance #Metadata #Data Analysis #Informatica #Python #Datasets #"ETL (Extract #Transform #Load)" #Security #Data Integrity #SQL (Structured Query Language)
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
BNY Eagle Data Analyst (PACE)
Contract - W2 or C2C
We are seeking a candidate with strong technical expertise across the Eagle platform, including hands-on experience with core modules such as PACE, STAR, STAR Ledger, iSTAR, Eagle Data Mart, and custom cash solutions. The ideal profile will also have firm technical knowledge of Eagle Data Strategies, as this will be central to stakeholder engagement. While the role is not a pure development position, the ability to interrogate large datasets via SQL (and ideally Python) is essential, particularly for querying Eagleβs metadata layers and ensuring data integrity within high-volume environments.
A functional understanding of core investment data domains is also required β specifically around Security Master, Positions/Transactions Management, Products, Issuers, and Cash Reconciliation. Experience with data lineage tracing and interpreting data flow across the investment lifecycle will be key to ensuring accuracy, compliance, and performance.
In addition, candidates should bring strong data transformation capabilities, as they will work with complex, multi-asset datasets spanning Fixed Income, Private Credit, and other asset classes. Familiarity with Informatica and ETL/ELT pipelines is important for working across enterprise data platforms. The role requires a deep understanding of how Eagle Data Strategies supports business functions β this will be a key focus area for internal stakeholders.