Business Analytics Manager

Roles and responsibilities

• Lead the development and execute implementation of analytical models to assess the performance of retail malls, including foot traffic analysis, tenant sales performance, and leasing metrics.
• Monitor and analyze key retail metrics such as occupancy rates, sales per square foot, average transaction value, tenant mix effectiveness, and customer dwell time.
• Proven experience of using Power BI and/or other data visualization tools to create interactive dashboards and reports, providing insights to senior management and stakeholders.
• Evaluate tenant performance by comparing sales data, footfall, and other relevant metrics across different retail categories and individual stores, providing recommendations for lease negotiations and tenant retention strategies.
• Develop and maintain models to project and optimize lease renewals, rent escalations, and vacancy rates, ensuring alignment with business goals.
• Identify and implement process improvements in data collection, reporting, and analysis to enhance operational efficiency and decision-making.
• Manage the business data management for retail, streamlining and providing of real-time information to each business function under the retail team
• Provide and coordinate all letting activity reports across retail portfolio
• Monitor, streamline, and provide real time information to each business function under the retail team
• Support business functions and finance in financial planning, budgeting, forecasting, valuation etc.
• Preparation of weekly Leasing Committee (LC) packs for both main units and Sp leasing and act as the custodian of LC.
• Define and implement reporting templates
  
  

Years Of Experience

• Min of 8+ years of related experience in business data analytics in Retail Business .
• Min of 3+ years of experience in managerial
  
  

Field Of Experience

• Experience in data and statistical analysis/methods
• Experience in real estate / retail industry
  
  

Technical And Interpersonal Skills

• Solid statistical, mathematical and programming knowledge
• Strong analytical and quantitative skills. Power BI / Tableu
• Data visualization capabilities such as drawing out patterns, trends and correlation of available data
• Well versed in MS office application or other database software for the proper management, safekeeping and retrieval of data.
• Excellent communication skills (verbal, written)
• Excellent reporting and presentation skills

Desired candidate profile

1. Analytics Strategy Development: Creating and implementing a comprehensive business analytics strategy that aligns with the organization’s goals and objectives.

2. Data Management: Overseeing data collection, storage, and analysis processes to ensure data integrity, quality, and accessibility.

3. Insight Generation: Analyzing complex data sets to identify trends, patterns, and insights that inform business decisions and drive strategic initiatives.

4. Collaboration: Working closely with cross-functional teams, including marketing, finance, operations, and IT, to understand their analytics needs and provide actionable insights.

5. Reporting and Visualization: Developing and delivering reports, dashboards, and visualizations that effectively communicate analytical findings to stakeholders.

6. Performance Metrics: Establishing key performance indicators (KPIs) to measure business performance and support continuous improvement efforts.

7. Team Leadership: Leading and mentoring the analytics team, fostering a culture of collaboration, innovation, and professional development.

8. Advanced Analytics: Exploring and implementing advanced analytics techniques, such as predictive modeling and machine learning, to enhance decision-making capabilities.

9. Stakeholder Engagement: Engaging with senior management and stakeholders to understand business challenges and present data-driven solutions.

10. Compliance and Governance: Ensuring compliance with data governance policies and regulatory requirements related to data use and privacy.

Skills

1. Analytical Expertise: Strong analytical skills with the ability to interpret complex data sets and extract meaningful insights.

2. Technical Proficiency: Proficiency in data analytics tools and software (e.g., SQL, Python, R, Tableau, or similar) for data manipulation and visualization.

3. Business Acumen: Understanding of business operations and strategies to align analytics efforts with organizational goals.

4. Communication Skills: Excellent verbal and written communication skills for conveying analytical findings to non-technical stakeholders.

5. Strategic Thinking: Ability to think strategically and develop long-term plans that leverage analytics for competitive advantage.

6. Project Management: Strong project management skills to oversee multiple analytics initiatives and ensure timely delivery.

7. Leadership: Proven leadership abilities to inspire and develop a high-performing analytics team.

8. Problem-Solving: Strong problem-solving skills to identify business challenges and propose effective analytical solutions.

9. Collaboration: Excellent interpersonal skills to build relationships and work collaboratively with various departments.