Analyst - Business Intelligence (47934)

About the role

You will assist in promoting data-driven decision-making within the organization, supporting various departments, including Asset Management, Acquisitions, Accounting, and HR, to gather requirements and assist in designing and implementing BI solutions.

Responsibilities

• Analyze complex data sets to identify trends, patterns, and insights supporting business decision-making
• Collaborate with stakeholders to gather requirements and ensure BI solutions meet their needs
• Utilize Python, Excel, Power BI, and SQL to develop, maintain, and automate BI reports and dashboards
• Use data to help improve business processes and outcomes in the real estate private equity space

Requirements

• Proficiency in Python, SQL, and Microsoft Excel
• Experience writing queries in a Relational Database Management System
• Familiarity with BI tools such as Power BI, Tableau, or similar
• Excellent analytical and problem-solving skills with the ability to interpret complex data sets
• Excellent verbal and written communication skills with the ability to write and speak clearly and free of typos or grammatical mistakes
• Treats everyone with respect and dignity, accepts responsibility and takes ownership of tasks, follows through on commitments, and maintains confidentiality
• Excellent organizational skills and attention to detail, strong time management skills with a proven ability to meet goals and deadlines
• Ability to function well in a fast-paced, high-volume environment

Qualifications

• Bachelor’s degree in computer science, mathematics, statistics, economics, or a related field required, or a computer science certificate from an accredited program with relevant work experience
• Up to two years of experience in business intelligence, data analysis, or a related role is required, and familiarity with financial and accounting concepts is preferred
• Experience with Microsoft Power Automate, Microsoft Forms, and Microsoft SharePoint preferred
• Advanced knowledge of mathematics, machine learning and predictive analytics preferred
• Experience with ETL processes and data warehousing preferred
• Understanding of the commercial real estate industry is preferred but not required

Physical Requirements

• Expected work hours: Typical hours are 7:30 to 5:00, Monday through Friday, with occasional weekends
• Travel: None
• Work environment and physical demands: General office environment

Benefits

• Medical, dental, vision, and basic life insurance options
• Auto-enrollment in 401(k) plan after 60 days of employment
• 80 vacation hours in the first year and earned paid sick leave per state or local requirements
• Paid holidays for ten holidays each year

Pay

Details on pay structure not specified.

Schedule

Full-time, Monday through Friday.