Business / Data Analyst at Vestates Limited

Vestates was born on the 19th March 2013 as a private Limited Liability company, to launch out into the real estate and property management services space. Our aim over the years has been to provide complete real estate services. These include the sale and lease of residential and commercial properties, and long-term property management within Nigeria and Internationally.

We are recruiting to fill the position below:

Job Title: Business / Data Analyst

Location: Abuja
Reports to: Senior Admin Manager with dotted line to the Senior Business Development Manager

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.

Salary
Negotiable based on experience and qualification.

Application Closing Date
18th July, 2025.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Note: Only shortlisted candidates will be contacted.