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Data Analyst

Roles & Responsibilities

  • Bachelor’s degree in a business or technical field (e.g., economics, statistics, finance, or engineering)
  • 4+ years of experience in data-intensive, quantitative roles (analytics, finance, operations, product, or strategy)
  • Advanced SQL skills and familiarity with programming best practices; hands-on experience with visualization and data wrangling tools (Tableau, Power BI, or Python)
  • Financial services industry experience required; mortgage industry experience preferred; strong communication and data storytelling skills

Requirements:

  • Partner with business leaders to understand goals, define success metrics, and translate questions into analytical approaches
  • Analyze complex datasets to uncover trends, drivers, and opportunities; synthesize findings into clear, actionable recommendations
  • Build and maintain reporting that enables leaders to monitor performance and make informed strategic and operational decisions
  • Collaborate across Data Analytics on data quality and best practices

Job description

Description

 • Partner with business leaders to understand goals, define success metrics, and translate questions into analytical approaches.
• Analyze complex datasets to uncover trends, drivers, and opportunities; synthesize findings into clear, actionable recommendations.
• Build and maintain reporting that enables leaders to monitor performance and make informed strategic and operational decisions.
• Apply strong technical skills while exercising sound business judgment to prioritize the right questions and focus on impact.
• Collaborate across Data & Analytics on data quality and best practices.
• Stay current on modern analytics techniques, tools, and emerging technologies.

Requirements

 • Bachelor’s degree in a business or technical field (e.g., economics, statistics, finance, or engineering).
• 4+ years of experience in data-intensive, quantitative roles (e.g., analytics, finance, operations, product, or strategy).
• Advanced SQL skills and familiarity with programming best practices.
• Hands-on experience with visualization and data wrangling tools (e.g., Tableau, Power BI, or Python).
• Strong communication and data storytelling skills; able to present insights clearly and gain trust with stakeholders at all levels.
• Curiosity and a continuous-improvement mindset, including interest in novel analytics techniques and technology.
• Financial services industry experience required; mortgage industry experience preferred.

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