What are the responsibilities and job description for the Data Analyst / Only W2 / Banking Domain Only position at Jobs via Dice?
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Core Responsibilities
Financial Analysis: Assess client profitability, credit risk, loan lifecycles, and treasury management to drive sales and identify market trends.
Data Governance & Mapping: Produce source-to-target mapping, maintain data dictionaries, and translate accounting concepts (General Ledger, P&L, Trial Balance) into technical definitions.
Regulatory Compliance: Provide data required for financial reporting, anti-money laundering (AML), and regulatory frameworks like Basel III or SOX.
Dashboarding & Reporting: Build executive-ready dashboards in Tableau or Power BI to track KPIs and automate manual reporting processes.
Stakeholder Engagement: Act as a bridge between non-technical Finance SMEs (Controllers, FP&A) and technical Data Engineers to deliver on business requirements.
Key Skills & Requirements
Domain Expertise: Solid understanding of core banking systems (CRM, core banking platforms), financial close processes, and banking products (deposits, loans, mortgages).
Technical Stack: Advanced proficiency in SQL (joins, CTEs, window functions), data profiling, and cloud platforms like Snowflake or AWS.
ETL & Modeling: Experience with data warehousing methodologies (Kimball, Inmon) and building dimensional models.
Methodology: Strong capability in Agile/Scrum delivery, writing Business Requirements Documents (BRDs), and User Acceptance Testing (UAT).
Core Responsibilities
Financial Analysis: Assess client profitability, credit risk, loan lifecycles, and treasury management to drive sales and identify market trends.
Data Governance & Mapping: Produce source-to-target mapping, maintain data dictionaries, and translate accounting concepts (General Ledger, P&L, Trial Balance) into technical definitions.
Regulatory Compliance: Provide data required for financial reporting, anti-money laundering (AML), and regulatory frameworks like Basel III or SOX.
Dashboarding & Reporting: Build executive-ready dashboards in Tableau or Power BI to track KPIs and automate manual reporting processes.
Stakeholder Engagement: Act as a bridge between non-technical Finance SMEs (Controllers, FP&A) and technical Data Engineers to deliver on business requirements.
Key Skills & Requirements
Domain Expertise: Solid understanding of core banking systems (CRM, core banking platforms), financial close processes, and banking products (deposits, loans, mortgages).
Technical Stack: Advanced proficiency in SQL (joins, CTEs, window functions), data profiling, and cloud platforms like Snowflake or AWS.
ETL & Modeling: Experience with data warehousing methodologies (Kimball, Inmon) and building dimensional models.
Methodology: Strong capability in Agile/Scrum delivery, writing Business Requirements Documents (BRDs), and User Acceptance Testing (UAT).