Position Title: Business Intelligence Analyst
Location: Austin, TX (Hybrid or Remote within Austin)
About HomeStory Real Estate
HomeStory Real Estate is committed to empowering real estate and lending professionals through data-driven insights, enhancing customer journeys and optimizing performance within our network. We are looking for a highly skilled Business Intelligence Analyst to join our team, supporting the analytics and visualization of key business metrics to drive strategic decisions.
Job Summary
As a Business Intelligence Analyst, you will transform complex data into actionable insights, supporting key business functions and helping us better serve our clients. This role requires a deep understanding of data analytics, visualization, and business intelligence best practices to empower stakeholders with data-driven decisions. You will work closely with various teams to deliver accurate, insightful, and timely reports and visualizations.
Responsibilities
- Analyze large data sets to identify trends, patterns, and insights relevant to the company's strategic goals.
- Develop and maintain dashboards and reports that provide key metrics and insights to support decision-making processes across various departments.
- Collaborate with cross-functional teams to understand data needs and deliver actionable insights aligned with business objectives.
- Perform ad-hoc data analysis and visualization to support project initiatives.
- Present data findings in a clear and compelling manner to both technical and non-technical audiences.
Qualifications
- 2+ years of experience in business intelligence, data analysis, or analytics roles.
- Strong proficiency in data visualization tools (e.g., Tableau, Power BI, QuickSight).
- Advanced skills in data analytics, statistical methods, and reporting.
- Excellent analytical thinking, communication, and presentation skills.
Preferred Skills
- Proficiency with SQL for data extraction and manipulation.
- Experience with ETL processes and data modeling.
- Familiarity with predictive analytics and machine learning concepts.
- Proficiency with Python data analysis.
- Experience working within real estate or mortgage lending industries (a plus).