Job Family:
Technology & Engineering
ROLE PURPOSE
The aim is to state the overall significance of the job from the organization’s perspective.
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To lead and guide data analysis initiatives & various projects, and to provide solutions by data collection, advanced modeling, interpretation, and visualization to offer strategic insights, support data-driven decision-making, and contribute to operational efficiency and organizational success.
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KEY ACCOUNTABILITIES & ACTIVITIES
This section describes the principal outputs required from the job.
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Key Accountabilities
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Key Activities
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- Data Analysis
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- Employ advanced statistical methods to identify patterns and trends in data, providing actionable insights.
- Apply machine learning algorithms to predict future outcomes and support data-driven decision-making.
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- Data Modeling
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- Develop and fine-tune predictive models, such as regression or clustering, to uncover hidden patterns and relationships within data.
- Utilize machine learning algorithms like decision trees and neural networks for in-depth analysis and forecasting.
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- Data Visualization
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- Create visually compelling and interactive data dashboards using tools like Tableau or Power BI for effective communication.
- Utilize data visualization best practices to convey complex insights in a clear and easily understandable manner.
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- Data Integration
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- Seamlessly integrate data from heterogeneous sources to construct a unified, comprehensive dataset.
- Provide in-depth data interpretation, translating findings into strategic guidance and recommendations.
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- Quality Assurance
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- Establish rigorous quality control measures to validate data accuracy and identify potential errors.
- Implement data validation techniques to ensure the reliability of analytical outcomes.
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- Reporting & Dashboards
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- Generate comprehensive reports that not only summarize data findings but also offer actionable recommendations.
- Design interactive dashboards that allow stakeholders to explore data and make informed decisions.
- Translating complex data findings into business solutions that align with client objectives
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JOB SPECIFICATIONS
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Academic and professional qualifications
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- Bachelor’s degree in Data Science, Computer Science, Information Systems, or a related field
- MBA or equivalent post-graduate qualification is preferably
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Years and Nature of Experience
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- 4 - 6 years of relevant experience in a related industry
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Job Segment:
Consulting, Data Modeler, Data Analyst, Quality Assurance, MBA, Service, Data, Technology, Management
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