Job title : Property Researcher - Kenilworth
Job Location : Western Cape, Cape Town
Deadline : January 04, 2025
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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.
Research / Data Analysis jobs