Requirements:
- Bachelor's degree in computer science discipline.
- Modeling using demand forecasting tools such as Python Packages, Demantra and statistical tools such as the R or Statistical Analysis System (SAS).
- Data modeling to support business report creation SQL and BO.
- Production support capability with the following systems: an enterprise resource planning system such as SAP, Enterprise Data Warehouse systems (EDW), and Bill of Material (BOM) management.
- SAS or R Statistical Modeling.
- Competency in data visualization and developing dashboards.
- Competency in designing, querying, and integrating with relational and/or graph databases.
- Experience in algorithm design, development, and implementation
- Linear programming & optimization.
- Strong and confident communication/presentation skills.
- Proficiency in English
Responsibilities
- Design, develop and program methods, processes, and systems to consolidate and analyze big data sources to generate actionable insights and solutions for client services/ product enhancement.
- Develop & implement data scraping, data cleaning/processing; Artificial Intelligence and Natural Language Processing algorithms to analyze system design and open defects.
- Actively engage in Research & Development (R&D) projects to solve top data analytics challenges in the given Industry.
- Interact with product/service teams to identify questions for data analysis and experiments.
- Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
- Identify meaningful insights from large data sources; interpret and communicate insights/ findings from analysis/experiments to product, service, and business managers.
- Build data pipelines to set the foundation for data analysis.
- Build data visualization/dashboards to provide data insights for decision-making.
- Create business cases to identify business opportunities.
- Identify product optimization opportunities through instrumentation and product funnel analysis.
- Conduct financial planning and forecasting.
- Build prescriptive analysis to estimate product feature impact.
**Kindly attach resume in English version**
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