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ICICI Securities - Data Analyst - SQL / Python

ICICI Securities - Data Analyst - SQL / Python

ICICI Securities LtdMumbai
30+ days ago
Job description

About the Role :

We are seeking a highly motivated and detail-oriented Data Analyst to join our growing analytics team. You will play a key role in leveraging data to drive strategic decisions, solve complex business problems, and provide insights through dashboards and predictive models. The ideal candidate has a strong analytical background, a passion for working with data, and hands-on experience in Python, SQL, and data visualization tools like Tableau.

Key Responsibilities :

  • Analyze large datasets to identify trends, patterns, and insights that support business decision-making.
  • Design and implement predictive and descriptive analytics models to solve real-world business use cases.
  • Build and maintain interactive dashboards in Tableau to visualize KPIs and performance metrics.
  • Conduct exploratory data analysis (EDA) to understand data characteristics and discover opportunities for improvement.
  • Collaborate with cross-functional teams including product, marketing, operations, and engineering to gather requirements and deliver data-driven solutions.
  • Deploy models or pipelines on AWS or Azure, and work on AI / ML-based use cases in cloud environments.
  • Translate business questions into data analysis, present findings in a clear and concise manner.
  • Ensure data quality, integrity, and governance across all analytics projects.
  • Stay updated with the latest industry trends, tools, and techniques in data analytics and machine learning.

Requirements :

Educational Background :

Bachelor's or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

Technical Skills :

  • Proficient in Python for data analysis and machine learning.
  • Strong experience in writing complex queries, data extraction, and transformation.
  • Hands-on experience with Tableau or similar tools (e.g., Power BI, Looker).
  • Experience developing and validating predictive analytics models.
  • Familiarity with classification, regression, clustering, and other ML algorithms.
  • EDA : Proven experience conducting exploratory analysis to uncover insights.
  • Cloud Platforms : Working knowledge of AWS or Azure, especially in the context of data pipelines and machine learning services.
  • ref : hirist.tech)

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