Responsibilities:
- Plan, manage, and monitor project progress to ensure delivery in accordance with defined scope, quality standards, and timelines.
- Analyze, design, and provide consultancy on data-driven systems and solutions based on a deep understanding of clients business processes and objectives.
- Review, test, and evaluate system performance, data outputs, and analytical models to ensure alignment with business requirements and organizational standards.
- Support the initiation of new projects, including advising on system architecture, data strategies, and process improvement approaches.
- Continuously develop business, analytical, and technology expertise to enhance the effectiveness of analysis, solution design, and advisory support for both internal teams and clients.
- Act as a subject-matter expert, providing guidance and knowledge sharing to team members and stakeholders when required.
Qualifications & Requirements:
- Bachelor's degree or higher in Computer Science, Information Technology, Statistics, Mathematics, or a related field.
- At least 2 years of experience in data analytics , business analysis, or project-based analytical roles (senior-level experience preferred).
- Prior experience in AI-related application or solution development is a plus.
- Strong knowledge and hands-on experience in applying mathematical and statistical methods for data analysis.
- Solid understanding of Machine Learning techniques such as k-NN, Naive Bayes, SVM, Random Forest, or related methods.
- Proficiency in programming languages such as Python and R, and database query languages including SQL / PL-SQL.
- Experience working with databases such as DB2, Oracle, SQL Server, MariaDB, MongoDB, Cassandra, HBase, or similar platforms.
- Experience with Big Data tools and technologies such as Hadoop, Spark, Elasticsearch, OpenSearch, or related ecosystems.
- Experience in designing Databases, Data Warehouses, and Data Marts.
