Business / Data Analyst at Vestates Limited

Vestates is a private limited liability real estate and property management company. It was established in 2013 (RC number 1102905) and was incorporated on 19 March, 2013. Its mission is to provide convenient and quality services to all our customers. We provide complete real estate services which include the lease and sale of residential and commercial properties and long term property management. Vestates strives to make finding suitable properties for prospective tenants, home buyers and even commercial developers, easy and stress-free. We aim to develop long term strategic relationships with all parties involved in the real estate process. We have a vast network of client base and employ a team of highly skilled and trained staff, highly specialized in the search and negotiation of the best properties Abuja has to offer. Vestates will never compromise on quality or standards.

Job Summary

• We are seeking a skilled Business/Data Analyst to join our team at Vestates Limited.
• As a Data Analyst, you will analyse and interpret various data sets to provide valuable insights and support decision-making processes.
• Your role will involve preparing reports, conducting data analysis, Business analysis and maintaining accurate records.
• You will collaborate with different departments to gather and analyse data related to expenses, sales, lettings, customer acquisition, market trends, and other relevant areas.
• The ideal candidate has strong analytical skills, attention to detail, and the ability to communicate findings effectively.

Responsibilities

• Prepare periodic expense reports, ensuring accuracy and completeness of data.
• Prepare periodic Expense reports, Diesel report, sales & Lettings report and short stay report
• Generate and analyse diesel reports, providing insights into consumption and cost trends.
• Create sales and lettings reports, including scouting options and market analysis.
• Prepare short-stay reports, assessing the performance and profitability of our short-term rental properties.
• Maintain and update the brief tracker, recording details of incoming briefs, including source, timing, and requirements.
• Develop and maintain templates for customer and property acquisition analysis, evaluating address, cost, quality, size, and other relevant factors.
• Conduct risk and exposure analysis, identify potential risks, and propose mitigation strategies.
• Perform market surveys and maintain a procurement tracker, monitoring market trends and supplier performance.
• Analyse social media and webpage analytics to assess marketing effectiveness and online presence.
• Maintain records of repair/maintenance history, utility usage (diesel, AEDC, water), and other property-related data.
• Track sales team performance, analysing sales metrics and providing performance insights.
• Maintain a record of customer complaint history, analysing patterns and proposing improvements.
• Track customer acquisition, retention, and referrals, assessing the effectiveness of marketing and retention strategies.
• Calculate and analyse the cost of customer acquisition and retention.
• Prepare tenant renewal reports, monitoring lease expirations and renewal rates.
• Maintain landlord tracker and conduct analytics to identify trends and assess landlord satisfaction.
• Compile staff turnover reports based on exit interview data, analysing factors contributing to turnover.
• Collaborate with stakeholders to gather data requirements and ensure accurate and timely reporting.

Requirements

• Bachelor's degree in a relevant field such as Data Science, Business Analytics, or Statistics.
• Strong analytical and problem-solving skills.
• Proficiency in data analysis and visualisation tools (e.g., Excel, Power BI).
• Attention to detail and ability to work with varied datasets.
• Excellent communication and presentation skills.
• Ability to work collaboratively in a team environment.
• Excellent use of Microsoft Office, Google Suite and other community apps like Slack and ClickUp.
• Must have at least 2 – 3 years of experience with a proven track record of excellent data mining, management, analysis and management reports.

Method of Application

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