Collect, clean, and preprocess structured and unstructured data from various databases and APIs.
Build and maintain ETL pipelines for data ingestion and transformation.
Support the development and deployment of machine learning and statistical models.
Design and publish interactive dashboards and reports using BI tools (e. g., Power BI, Tableau, or Looker).
Conduct ad-hoc analyses to support business units and provide insights on performance trends.
Collaborate with data engineers and business stakeholders to ensure data accuracy, consistency, and accessibility.
Requirements :
Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
2-4 years of experience in a data-focused role (data analysis, BI, or data science).
Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL.
Hands-on experience with BI tools such as Power BI, Tableau, or Looker.
Familiarity with data modelling, database design, and version control (Git).
Exposure to cloud environments (AWS, Azure, or GCP) is an advantage.
Strong analytical mindset and attention to detail.
Experience in the Banking or Financial Industry is preferred.
Soft Skills :
Curious and eager to learn new technologies.
Collaborative mindset with good communication skills.
Ability to translate analytical findings into actionable business recommendations.
(ref : hirist.tech)
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