Director, Business Analytics & Insights

Selene Diligence•Dallas, TX

18h•Onsite

About The Position

The Director, Data Analytics & Insights is a senior-level, hands-on analytics professional responsible for transforming complex data into actionable business insights that drive operational performance, strategic decision-making, and client outcomes across Selene Finance. This individual will partner with business leaders, investors, clients, and executive stakeholders to analyze servicing and portfolio data, identify opportunities and risks, and provide recommendations that influence business strategy. This is a highly visible individual contributor role requiring a unique combination of advanced analytical capabilities, deep mortgage servicing knowledge, and strong business acumen. The successful candidate will remain actively involved in data analysis, reporting, dashboard development, and problem-solving rather than leading a team of analysts.

Requirements

Bachelor's degree in Business, Finance, Statistics, Mathematics, Data Science, Computer Science, Economics, or a related quantitative field.
8+ years of analytics, business intelligence, reporting, or data management experience.
Advanced SQL experience, including the ability to independently query, manipulate, validate, and analyze large datasets.
Experience working with Microsoft SQL Server and T-SQL preferred.
Strong experience with Power BI or comparable business intelligence and data visualization platforms.
Direct mortgage servicing experience with a strong understanding of servicing operations, terminology, reporting, and data structures.
Advanced proficiency with Microsoft Excel and PowerPoint.
Experience developing executive dashboards, reporting packages, and analytical presentations.
Demonstrated ability to present analytical findings and business recommendations to senior leaders, investors, clients, or other executive stakeholders.
Strong analytical, critical thinking, and problem-solving skills.
Ability to manage multiple priorities and perform effectively in a fast-paced environment with limited direction.

Nice To Haves

Experience using Python for data analysis, automation, statistical modeling, or process improvement.
Experience supporting investor, client, or executive reporting functions.
Experience developing repeatable reporting and analytics processes that improve operational efficiency.

Responsibilities

Analyze mortgage servicing, portfolio, and operational data to identify trends, risks, performance gaps, and business opportunities.
Translate complex analytical findings into actionable business recommendations that support operational and strategic decision-making.
Develop executive dashboards, reports, scorecards, presentations, and data visualizations for internal stakeholders, investors, clients, and parent company leadership.
Utilize advanced SQL and analytical techniques to query, validate, manipulate, and interpret large datasets.
Perform root cause analysis to investigate reporting discrepancies, performance variances, data anomalies, and emerging business issues.
Partner with technology and data teams to ensure data integrity and improve reporting capabilities.
Collaborate with business leaders to understand operational challenges, identify improvement opportunities, and develop data-driven solutions.
Present analytical findings and recommendations to senior leadership and external stakeholders in a clear, concise, and compelling manner.
Support analytical initiatives across servicing operations and respond to ad hoc requests from executives, clients, investors, and business partners.
Manage multiple analytics projects simultaneously while meeting deadlines and communicating progress to stakeholders.
Operate effectively in environments with ambiguity by identifying missing information, developing analytical approaches, and driving work independently.
Ensure compliance with internal policies and procedures related to data governance, reporting, and analytics.
Perform other duties and special projects as assigned.