Data Analyst - Python

Job Summary

We are seeking a highly skilled and motivated Data Analyst with strong Python programming skills to join our growing team. The ideal candidate will be passionate about uncovering insights from data and using those insights to drive business decisions. You will be responsible for collecting, analyzing, and interpreting complex datasets, developing data-driven solutions, and communicating findings to :

• Collect data from various sources, including databases, APIs, and other data repositories.
• Perform data cleaning, transformation, and manipulation using Python libraries such as Pandas and NumPy.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies in the data.
• Develop and implement statistical models and machine learning algorithms using Python libraries like Scikit-learn to solve business problems.
• Create data visualizations using Python libraries such as Matplotlib and Seaborn to communicate insights effectively.
• Build and maintain data pipelines to automate data extraction, transformation, and loading (ETL) processes.
• Collaborate with cross-functional teams, including product, engineering, and marketing, to understand their data needs and provide actionable insights.
• Develop and maintain documentation of data analysis processes and results.
• Stay up-to-date with the latest trends and technologies in data analysis and Python programming.
• Present data findings and recommendations to stakeholders in a clear and concise manner.
  
  

Skills And Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related field.
• Proven experience 5+ years as a Data Analyst.
• Strong proficiency in Python programming, including experience with data analysis libraries such as Pandas, NumPy, and Scikit-learn.
• Experience with data visualization libraries such as Matplotlib and Seaborn.
• Solid understanding of SQL and relational databases.
• Experience with data warehousing and ETL processes is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Strong business acumen and the ability to translate data insights into business Qualifications :
• Master's degree in a relevant field.
• Experience with cloud-based data platforms such as AWS, Azure, or GCP.
• Experience with big data technologies such as Spark or Hadoop.
• Knowledge of statistical modeling techniques.
• Experience with machine learning algorithms.
  
  

(ref:hirist.tech)