Data Science Analyst

About the Role:

Data Science Analyst

Key Responsibilities:

1. Data Analysis & Modeling

• Collect, clean, and transform structured and unstructured data from multiple sources.
  
• Perform exploratory data analysis (EDA) to identify trends, correlations, and anomalies.
  
• Build predictive and prescriptive models using statistical and machine learning techniques.
  

2. Reporting & Visualization

• Create dashboards, visualizations, and reports to communicate findings effectively to stakeholders.
  
• Present insights and recommendations clearly to business teams and management.

3. Research & Innovation

• Stay updated on the latest tools, techniques, and trends in data science and analytics.
  
• Experiment with new algorithms, tools, and approaches to improve analysis quality and efficiency.
  
• Document methodologies, assumptions, and results for reproducibility and transparency.
  

4. Data Governance & Compliance

• Ensure data accuracy, consistency, and integrity in all analyses.
  
• Adhere to company policies and industry standards regarding data privacy and security.
  
• Maintain proper documentation and version control for all projects.

Preferred Qualifications:

• Experience in

  predictive modeling, AI/ML, or deep learning

  .
• Familiarity with

  big data technologies

  (Hadoop, Spark, etc.) is a plus.
• Experience with

  cloud platforms

  (AWS, Azure, GCP) for data science workloads.
• Exposure to

  ETL pipelines, data engineering, and automation

  .
• Advanced statistical knowledge (hypothesis testing, time-series analysis, etc.).