Tatu is a project of Rendeavour, Africa’s largest urban land developer with over 30,000 acres of visionary projects in the growth trajectories of large cities in Kenya, Ghana, Nigeria, Zambia and Democratic Republic of Congo. Rendeavour’s vision goes beyond alleviating what is a self-evident problem - that of stifling urban congestion and a dearth of quality housing and commercial property in Africa. Rather, we aim to help create the infrastructure - the living and working spaces, communities, schools and hospitals - that will help sustain and accelerate Africa’s economic growth, meet the aspirations of Africa’s burgeoning middle classes, and serve as a catalyst for further urban development.
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Write SQL queries and Python code to retrieve, process, and analyze large datasets.
Construct efficient multi-threaded data models from large data sets.
Develop dashboards and create visual reports for both daily operations and executive-level insights.
Apply statistical analysis, predictive/prescriptive modeling, and forecasting to uncover business insights.
Analyze customer journey touchpoints to identify trends, behavior patterns, and areas for improvement.
Make data backed recommendations on Contact Center programs.
Correlate omnichannel data for KPI tracking and manage cross-platform reporting.
Collaborate with stakeholders to understand business needs and deliver clear, actionable solutions.
Requirements
A bachelor’s degree in Data Science, Statistics, Computer Science, Business, or a related field
At least 2 years of experience in an analytical role
Advanced experience with SQL, Python, building data models, data validation, and QA
Strong data mining skills with an understanding of cross-platform integrations
Excellent Excel and PowerPoint skills
Strong attention to detail, analytical skills, and the ability to manage multiple tasks
Comfortable working in a fast-paced, dynamic environment with shifting priorities
Strong written and verbal communication skills, with a solid analytical mindset
Experience with Power BI, Azure Data Lake, Databricks, visual analytics, omnichannel data, Azure Cognitive Services, speech analytics, and sentiment analysis is a plus
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