Analyze and transform data from multiple sources, build and maintain databases, and apply statistical methods to uncover trends for diagnostic and predictive insights.
About the role
Key Responsibilities
Design, develop, and maintain relational databases and data pipelines, troubleshooting coding errors and performance issues.
Extract, clean, and restructure data from primary and secondary sources to create analysis‑ready datasets.
Apply statistical techniques and machine‑learning tools to identify trends, patterns, and predictive signals.
Produce clear visualizations and reports that communicate findings to stakeholders across the organization.
Interpret results in the context of local, national, and global industry trends to support strategic decision‑making.
Requirements
Proficiency in SQL for data querying and manipulation.
Strong programming skills in Python, including libraries such as pandas, NumPy, and scikit‑learn.
Experience with data mining, statistical analysis, and predictive modeling.
Ability to create compelling data visualizations using tools like Tableau, Power BI, or matplotlib.
Excellent problem‑solving skills and attention to detail when handling large, complex datasets.