Senior Data & BI Analyst - Branch Real Estate

$96,471 - $164,262/Yr

Edward Jones - St. Louis, MO

Full-time - Mid Level

St. Louis, MO

10,001+ employees

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

Edward Jones is seeking a Senior Data & BI Analyst for its Branch Real Estate (BRE) department, which plays a crucial role in supporting the physical branch office needs through leasing, construction, lease administration, and maintenance of over 15,000 branch office locations. The BRE department aims to maximize value and minimize disruptions to branch teams, allowing them to focus on client needs. The analytics and insights team within BRE is tasked with measuring the firm's real estate portfolio usage and identifying opportunities to enhance its impact. This position will involve leveraging data to provide actionable insights that support business decisions, analyzing the effectiveness of BRE functions, and presenting insights to improve future efforts. The analyst will also identify external trends in commercial real estate and support leaders in making informed internal real estate decisions. Additionally, the role includes developing business relationships with stakeholders, creating and maintaining dashboards for real estate usage, and educating team members on data and statistical concepts. The ideal candidate will have a strong background in commercial real estate and analytics, with a focus on data-driven decision-making to enhance the firm's real estate performance.

Responsibilities

• Leverage data using various technologies, languages, and analytical methods to provide actionable insights that support BRE business decisions.
• Analyze the effectiveness of BRE functions and strategic programs, and present actionable insights to enhance future efforts using appropriate statistical methods.
• Identify external trends in commercial real estate in key firm markets and support leaders in using those insights to drive internal real estate decisions.
• Provide thought leadership to BRE senior leaders about opportunities to improve the BRE experience for branch teams and financial performance of the firm's real estate portfolio.
• Develop business relationships and partnerships with BRE stakeholders and cross-functional stakeholders that work alongside BRE to support various branch practice models.
• Create, support, and maintain dashboards that help BRE leaders and field leaders understand how real estate is being used and what opportunities exist to improve BRE experience and financial impact.
• Educate other team members, associates, and leaders across the firm on data and statistical concepts and best practices.
• Identify opportunities for BRE to improve the structure and accessibility of real estate data, and collaborate with the appropriate digital product teams that can provide solutions.

Requirements

• 5-7 years' experience in relevant field
• At least 4 years of analytics experience
• Commercial real estate experience is strongly preferred
• Bachelor's Degree with an emphasis in business, economics, math, engineering, or analytics preferred (or relevant work experience)
• Advanced Degree or Certification preferred
• Experience with data visualization tools such as Power BI or Tableau is strongly preferred
• Proficiency interacting with various database and file storage systems (Examples: Oracle, Hadoop, NoSQL)
• Intermediate experience with data manipulation languages, such as SQL, required
• Understanding of statistical concepts and analytic techniques, including descriptive statistics, forecasting, economic modeling, various regression techniques, machine learning, exploratory analysis, and variance analysis techniques.
• Ability to determine if particular analytic problem requires capabilities that don't reside in the division.
• Ability to use special statistical software for appropriate use cases.

Nice-to-haves

• Experience with advanced statistical software
• Familiarity with machine learning techniques
• Knowledge of economic modeling and forecasting methods

Benefits

• Base salary
• Bonuses
• Profit sharing
• Comprehensive health insurance
• Retirement savings plan
• Flexible work arrangements
• Professional development opportunities