Data Analyst

Role Overview

Seeking a Data Analyst with strong Python and SQL skills and a basic understanding of Machine Learning. The candidate will analyze data, identify trends, automate data-related tasks, and support data-driven decision-making.

Key Responsibilities

• Extract, clean, and analyze data using SQL and Python.
• Perform exploratory data analysis (EDA) and identify trends and patterns.
• Apply basic statistical analysis and Machine Learning techniques.
• Build and evaluate predictive models to support business needs.
• Create reports, dashboards, and visualizations to communicate insights.
• Collaborate with cross-functional teams to solve data-related problems.

Requirements & Tech Stack

• Strong foundation in Python and SQL.
• Knowledge of Machine Learning concepts and algorithms.
• Familiarity with Pandas, NumPy, and scikit-learn.
• Understanding of data cleaning, data visualization, and statistics.
• Strong analytical and problem-solving skills.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
• Internship experience, academic projects, or up to 3 years of relevant experience.
• Hands-on projects in data analytics or Machine Learning are a plus.