Senior Data Analyst- LFI Data Governance

Western Alliance BankPhoenix, AZ
Onsite

About The Position

As a Data Engineer – LFI, Data Governance, you'll play a critical role in driving data-driven decision-making across the organization. You'll develop, maintain, improve reporting solutions, analyze large data sets, and provide actionable insights to stakeholders. One of your key responsibilities is to ensure that data analysis needs by the business are met while operating within data governance requirements. You will deliver and communicate complex findings in a clear and concise manner to your assigned business line. You should also be familiar with Reg YY and related reporting regulations (such as FR 2052a, FR Y-14, and FR Y-15), and work with a team focused on developing, testing, and executing regulatory reporting data for LFI status. Using SQL tool for querying and analyzing data, lead the design, build, and maintenance of advanced dashboards and reporting tools to monitor key business performance metrics while upholding data and reporting standards, ensuring consistency and compliance across all projects worked on. Identify and develop automation techniques from available technology to produce efficient and effective processes. Perform deep-dive analysis on large, complex datasets to extract meaningful insights. Identify trends, patterns, and anomalies and provide data-based recommendations to help drive operational improvements and strategy. Understand business unit reporting and analytical needs and translate business questions into analytical tasks that help drive strategic decisions. Present analytical findings and recommendations to senior management and key stakeholders. Design and implement systems to ensure data accuracy and reliability by performing thorough validation and quality checks. Collaborate with IT teams to enhance data infrastructure and improve data accessibility. Development of business requirements, as needed for the LFI Regulatory Reporting, specifically to incorporate changes as required by FRB regulations for a Category III institution. Problem solve regarding requirements, defects, or data validation. Perform UAT test (User Acceptance Testing) to ensure accuracy and integrity of data. Take leadership role to develop and assist junior staff and the team.

Requirements

  • 5+ years of experience in Data Analytics & Data Management or similar field.
  • Bachelor's degree in a related field.
  • Intermediate - Advanced experience with data analysis tools (e.g., SQL, Excel).
  • Intermediate - Advanced experience with data visualization platforms (e.g. Power BI, Tableau).
  • Experience presenting findings from large datasets in a clear, actionable way.
  • Experience with project management and managing multiple priorities and deliverables.
  • Intermediate speaking and writing communication skills.

Nice To Haves

  • Experience with increasing responsibility in regulatory reporting or other areas at a bank.
  • Working knowledge of Reg YY and other related regulatory reporting.
  • Experience with predictive modeling, statistical analysis, or machine learning.
  • Intermediate knowledge of general banking operations, including deposit operations, loan administration, treasury management and/or other commercial banking products and services.
  • Intermediate knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices.

Responsibilities

  • Develop, maintain, and improve reporting solutions.
  • Analyze large data sets and provide actionable insights to stakeholders.
  • Ensure data analysis needs are met while operating within data governance requirements.
  • Deliver and communicate complex findings clearly and concisely to assigned business lines.
  • Develop, test, and execute regulatory reporting data for LFI status.
  • Lead the design, build, and maintenance of advanced dashboards and reporting tools.
  • Monitor key business performance metrics while upholding data and reporting standards.
  • Identify and develop automation techniques for efficient processes.
  • Perform deep-dive analysis on large, complex datasets to extract meaningful insights.
  • Identify trends, patterns, and anomalies and provide data-based recommendations.
  • Understand business unit reporting and analytical needs and translate business questions into analytical tasks.
  • Present analytical findings and recommendations to senior management and key stakeholders.
  • Design and implement systems to ensure data accuracy and reliability through validation and quality checks.
  • Collaborate with IT teams to enhance data infrastructure and improve data accessibility.
  • Develop business requirements for LFI Regulatory Reporting, incorporating changes required by FRB regulations.
  • Problem-solve regarding requirements, defects, or data validation.
  • Perform UAT (User Acceptance Testing) to ensure accuracy and integrity of data.
  • Take a leadership role to develop and assist junior staff and the team.

Benefits

  • Competitive salaries
  • Ownership stake in the company
  • Medical and dental insurance
  • Time off
  • 401k matching program
  • Tuition assistance program
  • Employee volunteer program
  • Wellness program
  • Opportunity to bolster business knowledge
  • Learning the ins and outs of how successful companies operate and manage their finances
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