Sr. Associate, BI & Analytics

Community Federal Savings BankNew York, NY
4h$90,000 - $110,000

About The Position

CFSB is seeking a Sr. Associate, Business Intelligence & Analytics Analyst to join our BI team. This role will focus on designing, building, and optimizing dashboards, reports, and data models to support data-driven decision-making across our banking operations and product teams. The ideal candidate is highly analytical, detail-oriented, and experienced with modern Business Intelligence tools such as Power BI and Metabase, with a strong understanding of U.S. payment systems, including ACH and Wire transfers.

Requirements

  • Proficient in SQL and Python
  • Understanding of U.S. payment systems, specifically ACH and wire transfers, including their operational functions and reporting aspects.
  • Strong analytical and problem-solving skills with attention to detail.
  • Familiarity with data modeling concepts (e.g., star schema, semantic layers).
  • Excellent communication skills with the ability to work cross-functionally.
  • 4+ years of experience in BI, analytics, or data reporting roles in providing actionable insights.
  • 3+ years of hands-on experience with Power BI and Sigma for creating analytics solutions.
  • Experience working with cloud data warehouses (preferably Snowflake & Microsoft Fabrics).

Nice To Haves

  • Experience in financial services and Microsoft PowerApps is a plus.

Responsibilities

  • Develop and maintain dashboards and self-serve reporting solutions using Power BI and Metabase.
  • Collaborate with business stakeholders (e.g., CardOps, ACH, Wires, Compliance) to gather reporting requirements and translate them into scalable BI solutions.
  • Work closely with Analytics Engineers and Data Engineers to improve data models, define business metrics, and ensure consistency across reports/dashboards.
  • Leverage domain knowledge of U.S. payment rails (ACH, Wires) to provide context-rich reporting and analytics operations.
  • Monitor dashboard performance and implement optimizations for faster and more reliable reporting.
  • Ensure data accuracy, integrity, and quality in BI outputs.
  • Support the creation of documentation for data definitions, dashboard usage, and reporting workflows.
  • Proactively identify opportunities to automate reporting processes and improve operational efficiency.
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