URgent Need - Sr. Business Analyst – Data Modeling & BI (Snowflake) - Oaks, PA Onsite
0 views
Skip to first unread message
Monu Solanki
unread,
Mar 13, 2026, 12:06:36 PM (yesterday) Mar 13
Reply to author
Sign in to reply to author
Forward
Sign in to forward
Delete
You do not have permission to delete messages in this group
Copy link
Report message
Show original message
Either email addresses are anonymous for this group or you need the view member email addresses permission to view the original message
to Monu Solanki
Hope you are doing well,
Please share your resume if you are interested in this role
Sr. Business Analyst – Data Modeling & BI (Snowflake)
Oaks, PA
Contract
Key Responsibilities:
Gather and document business requirements related to fund and portfolio performance, NAV calculations, client reporting, and regulatory needs.
Design conceptual, logical, and physical data models that support analytical workloads in Snowflake.
Build data models that align with fund/portfolio accounting structures such as securities, transactions, positions, valuations, fees, and reconciliations.
Collaborate with data engineers and BI developers to implement star/snowflake schemas optimized for financial reporting and KPI dashboards.
Define data mappings from source systems (e.g., Geneva, Eagle, or other accounting platforms) to Snowflake.
Maintain data dictionaries, transformation logic, and business glossaries for financial metrics and entities.
Ensure compatibility with BI tools like Power BI, Tableau, or Looker for downstream reporting.
Analyze and validate data quality, lineage, and performance in financial reporting pipelines.
Required Qualifications:
5+ years of experience in business/data analysis, preferably in financial services or asset management.
Strong understanding of fund accounting, portfolio accounting, or investment performance analytics.
2+ years of experience with Snowflake
Deep understanding of dimensional modeling, including star and snowflake schemas.
Proficient in SQL and capable of working with large datasets and complex joins.
Familiarity with BI/reporting tools (Power BI, Tableau, Looker).
Experience working with accounting platforms such as Geneva, Investran, or similar systems.