Posted:Tue at 12:45 PM
By:Hiring Kenya
Company Details
Industry:
Real Estate
Description:
Optiven Limited is a real estate company. We are founded to provide value added plots for sale and offer real estate solution to the African community. As market leaders in this industry, we sell clean land with valid title deeds. With an extensive working experience, we ensure that we deliver. Our Patners are experienced and the staff professional, we provide full customer focus to each client. We guarantee delivery for any requirements and enquiry.
Job Description
Purpose Statement:
- The job holder is responsible for managing the groups data management, analyzing complex datasets, developing predictive models, and providing data-driven insights to enhance decision-making across all Optiven departments
- Developing and implementing data strategies and policies.
- Ensuring data protection compliance and security.
- Overseeing end to end data management including design, capture, analysis, storage and retrial
- Data visualization and interpretation to support business growth.
Duties and Responsibilities:
- Develop and implement data policies in line with organizational objectives and Legal and regulatory requirements.
- Design organization data frameworks in line with Business Requirements.
- Oversee data governance processes to maintain data integrity, security, and accessibility.
- Manage data infrastructure to ensure efficient storage, organization, and retrieval of information.
- Regularly review processes to identify inefficiencies and recommend improvements.
- Collect, clean, and pre-process data from source systems (e.g. ERP, CRM, financial systems, HR records customer feedback platforms etc.).
- Conduct advanced data analysis using statistical models and machine learning techniques.
- Develop predictive models to improve forecasting accuracy and enhance strategic planning.
- Deliver clear, actionable insights to support data-driven decision-making.
- Design, develop, and maintain interactive dashboards to visualize complex data sets for real-time decision-making.
- Analyze data trends and patterns to generate actionable insights for stakeholders
- Detect anomalies in data and conduct root-cause analysis to help departments understand performance gaps.
- Ensure compliance with data protection regulations such as GDPR, DPA, and other relevant laws.
- Implement data governance frameworks aligned with Kenya’s Data Protection Act (2019).
- Ensure compliance with GDPR, ISO 27001, and other relevant standards.
- Monitor data security risks and suggest mitigation strategies.
- Conduct quarterly data audits and enforce role-based access controls.
- Implement robust data security measures and conduct staff training programs to promote data protection awareness.
- Create comprehensive reports that present key metrics, findings, and insights.
- Develop automated and standardized reporting mechanisms aligned with business needs.
- Develop and track key performance indicators (KPIs) to measure the effectiveness of data initiatives.
- Analyze customer segmentation, preferences, and purchase behavior.
- Track and reduce customer churn rates through retention analytics.
- Optimize digital marketing campaigns using web and social media analytics.
- Deploy AI-powered forecasting tools to support.
- Perform A/B testing to optimize marketing campaigns and sales strategies
- Provide quarterly business intelligence reviews to management.
- Stay informed about emerging data science trends, tools, and best practices.
- Identify and implement innovative techniques to improve data analysis, reporting, and operational efficiency.
- Automate repetitive data analysis processes, reducing manual intervention.
- Evaluate and recommend data management systems that enhance the organization’s data capabilities.
- Manage and mentor the data science team.
- Assign tasks, monitor progress, and provide guidance to ensure successful project delivery.
- Foster a collaborative and innovative team environment.
- Perform other duties as maybe assigned from time-to-time.
Qualification And Experience Requirements:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics or a related field.
- Minimum of 3-5 years of experience in data science or analytics roles, with at least 1-2 years in a supervisory role.
- Certifications in data science, analysis and/or data protection (e.g., Certified Data Management Professional, Certified Information Privacy Professional).
- Strong knowledge of machine learning, statistical analysis, and big data technologies.
- Proficiency in data visualization tools (e.g., Tableau, Power BI) and programming languages (e.g. Python, R).
Competency Requirements:
- Strong analytical & problem-solving skills.
- Ability to translate business problems into data-driven solutions.
- Excellent communication & reporting skills for non-technical stakeholders.
- Hands-on experience with AI, data mining, and predictive modeling.
- Ability to work in a fast-paced, results-driven environment.
- Critical Thinking
- Adaptability
- Innovative
- Collaboration
- Decision-Making
Applications close on 15th April 2025.
Education: Degree, Diploma
Employment Type: Full Time