Property Researcher - Kenilworth at Pick n Pay Stores Limited

• To conduct research and analyse commercial real estate related to Pick n Pay Retailers properties including the maintenance and update of the company's property and store related data for store feasibility research and to report to the broader business.

Minimum Requirements

• Graduate of Business-related courses; Urban Studies/Town Planning; or Quantitative Analytics / Operational Research / Industrial Engineering / Applied Mathematics
• 1-2 yrs. Experience in Property Research Reporting and Analytics
• Experience with database management
• Knowledge of the broader South African retail landscape.
• Computer skills (Word and Excel Advance)

Competencies

• Excellent presentation skills and ability to write research reports
• Market Research and Analytical skills
• Exceptional problem-solving and investigative skills
• Good attention to detail.
• Good oral and written communication skills.
• Negotiation and Contract Knowledge
• Good interpersonal skills to be applied with confidence at the highest levels in business.
• Ability to thrive at work under pressure.
• Combined ability to work as a team but also dependently without supervision

Knowledge

• Proficiency in data analysis tools and statistical applications
• Commercial Real Estate Knowledge
• A background in geography and experience working with spatial data with competencies especially in Google Earth but also GIS platforms such as QGIS/ArcView
• Experience with database management

Key Responsibilities

• Retail Market Analysis:
• Demand and Supply Analysis: Research trends in retail demand, the supply of retail spaces, and vacancy rates in different geographic locations.
• Foot Traffic and Demographics: Analyzing consumer behavior patterns, foot traffic data, and demographics around potential retail locations to identify the best places to open new stores or expand.
• Competition and Market Trends: Keeping track of the competition, new market entrants, and the retail industry’s evolving trends, such as e-commerce impacts, omni-channel strategies, and shifts in consumer preferences.
• Site Selection and Feasibility Studies:
• Identifying Locations: Helping retailers identify the ideal locations for new stores based on market trends, demographics, and local economic conditions.
• Evaluating Accessibility: Assessing transportation, parking, and visibility factors that make a retail location attractive to customers.
• Lease and Rental Analysis: Researching current lease rates, rental terms, and incentives for retail properties to determine financial feasibility.
• Consumer Behavior Insights:
• Retail Footprint Assessment: Analyzing existing retail footprints and how well they align with changing customer expectations (e.g., proximity to transit hubs or specific neighborhoods).
• E-commerce Integration: Identifying ways to integrate brick-and-mortar stores with e-commerce channels (e.g., click-and-collect services, pop-up stores).
• Retail Property Valuations and Investment Analysis:
• Assessing Retail Property Value: Determining the value of retail properties by analyzing factors like foot traffic, sales data, location, and lease terms.
• Investment Recommendations: Providing retail investors with data-driven insights on high-growth retail markets, potential risks, and returns.
• Market Reports and Presentations:
• Retail Market Reports: Creating comprehensive reports on retail market trends, regional data, and forecasting future retail market dynamics.
• Presenting Data: Compiling detailed presentations on market conditions, site selection options, and competitive landscapes for retail clients or investment teams.
• Lease and Contract Research:
• Retail Lease Terms: Researching local regulations and specific lease contracts that are common in retail real estate, such as rent escalations, common area maintenance (CAM) fees, and exclusivity clauses.
• Legal and Regulatory Aspects: Investigating zoning laws, permitted use regulations, and any restrictions that could affect the use of retail space.
• Technology and Tools in Retail Property Research:
• Data Analytics Software: Utilizing GIS tools, retail site selection software, and demographic databases (like ESRI, Nielsen, and Placer.ai) to gather relevant data.
• Retail Property Databases: Using platforms like CoStar or LoopNet to access property listings, lease terms, and historical performance data.