Business Intelligence Developer

Fay Financial•Farmers Branch, TX

1d•$135,000 - $146,700•Hybrid

About The Position

The Fay Group is a fully integrated real estate and mortgage services firm, bringing together the strength and expertise of two complementary holding companies – Fay Financial and Genstone Holdings. Since its founding in 2008 as a special servicer, The Fay Group has grown into a diversified enterprise overseeing more than $46 billion in assets on behalf of over 50 institutional clients. Powered by data, technology, and a team of 1,100+ professionals across 10 U.S. locations, the organization delivers coordinated solutions across the full spectrum of real estate and lending services – including loan servicing, property management, mortgage originations, renovations, and insurance. From asset creation and loan management to renovations and real estate brokerage services, The Fay Group offers end-to-end capabilities under one platform. This comprehensive approach delivers flexibility, transparency, and performance across multiple asset classes, supporting both clients and customers in all market and interest rate environments. Reporting to the VP, Data Management, this position is responsible for developing, maintaining and optimizing business intelligence solutions that deliver accurate, relevant and actionable data insights. This role collaborates with cross-functional teams to translate complex business requirements into intuitive business intelligence tools, reports and dashboards. This position partners with stakeholders to gather requirements, develop data models and deliver insightful visualizations and business reports. Additionally, this role ensures data integrity and reporting efficiencies, supporting the continuous improvement of business intelligence tools and processes. This role fosters a data-driven culture, empowering users across the organization to access critical information and make informed, data-driven decisions.

Requirements

Bachelor’s degree in Computer Science, Information Systems or related field (or equivalent combination of years of experience with High School diploma/GED)
2+ years’ experience in BI development, data analytics or a related field
2+ years’ experience working with BI platforms such as Power BI, Tableau or similar tools
Proficient in SQL for data extraction, transformation and analysis
Familiarity with data modeling techniques and ETL processes for efficient data warehousing
Solid understanding of data visualization principles and best practices for effective report design
Solid skills and experience in MS Word, Excel and Outlook
Strong verbal and written communication skills
Strong interpersonal skills
Strong analytical skills
Solid decision-making abilities coupled with sound judgment
Good judgement with the ability to evaluate business and technical data and decision appropriate solutions
Strong time management skills
Ability to prioritize numerous tasks and manage shifting priorities
Client focused with strong execution skills and results orientation
High-level of precision with attention to detail and consistency
Flexible, open to change, ability to learn new things quickly
Ability to work in a collaborative environment and provide guidance for working groups

Nice To Haves

1+ years' experience in the mortgage or financial industry preferred
Prior experience working in a fast-paced work environment

Responsibilities

Developing, maintaining and optimizing business intelligence solutions that deliver accurate, relevant and actionable data insights.
Collaborating with cross-functional teams to translate complex business requirements into intuitive business intelligence tools, reports and dashboards.
Partnering with stakeholders to gather requirements, develop data models and deliver insightful visualizations and business reports.
Ensuring data integrity and reporting efficiencies, supporting the continuous improvement of business intelligence tools and processes.
Fostering a data-driven culture, empowering users across the organization to access critical information and make informed, data-driven decisions.