Business Analyst
Posted:
Company Details
Industry:
Consulting
Website:
https://www.peoplelink.co.ke/
Description:
Peoplelink Consultants Ltd is a consultancy services company incorporated under the laws of Kenya. Our mission is to provide value adding support services to our customers. Emphasis being on human resource recruitment, training and development as well as outsourcing of labour and other services.&nbs…
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Job Details
Job Type:
Full Time
Workplace Type:
On-site
Qualification:
Degree
Job Experience:
Mandatory
Job Location:
Nairobi County, Kenya
Closing Date:
Undisclosed
Salary:
Undisclosed
Other Pay:
Benefits
Job Category:
Information Technology
Job Description
Responsibilities
- Analyze weekly, monthly, and quarterly performance reports across sales, marketing, finance, and construction.
- Build and maintain comprehensive dashboards to track key performance indicators (KPIs).
- Monitor financial metrics, budget variances, and cash flow for off- plan developments.
- Track sales pipelines, conversion rates, and client payment compliance.
- Turn complex data into clear summary reports and strategic recommendations for executives.
- Identify operational bottlenecks, revenue gaps, and cost-saving opportunities.
- Provide market insights on buyer trends and payment preferences to guide pricing strategy.
- Research competitor pricing, project timelines, and real estate market trends.
- Conduct feasibility studies and risk assessments for new property projects.
- Collaborate with department heads to streamline data collection and improve workflows.
Requirements
- Bachelor's degree in Business, Finance, Statistics, Real Estate, or a related field.
- 5-10 years of experience as a Business, Data, or Financial Analyst. • Background in the Kenyan real estate or property development sector is highly preferred.
- Advanced Excel skills (vlookups, pivot tables, data modeling). • Experience with Power BI, Tableau, ERP systems, or real estate CRMs is a plus.
- Strong ability to identify patterns, anomalies, and opportunities in large datasets.
- Excellent communication skills to present data clearly to non- technical stakeholders.
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Contact Information
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