Catalyte is looking for a driven Junior Python Data Analyst to help us process, analyze, and visualize data to derive actionable insights. You will work on various projects, cleaning datasets, writing Python scripts for data manipulation, and creating reports. This is an excellent opportunity for an early-career analyst to develop their skills in a practical, hands-on environment, working with real-world data to solve business problems.

This project is focused on leveraging data to drive business decisions. As a Junior Python Data Analyst at Catalyte, you will be responsible for supporting our data science and analytics teams by performing a range of data-related tasks. You will be immersed in our data ecosystem, learning how to handle large and complex datasets from start to finish.

Core Activities

• Data Cleaning and Preprocessing: Use Python libraries such as Pandas and NumPy to clean, transform, and prepare raw data for analysis.
• Exploratory Data Analysis (EDA): Perform EDA to identify trends, patterns, and anomalies in datasets.
• Scripting and Automation: Write and maintain Python scripts to automate repetitive data processing tasks, improving efficiency and accuracy.
• Data Visualization: Create charts, graphs, and dashboards using libraries like Matplotlib, Seaborn, or Plotly to communicate findings to stakeholders.
• Reporting: Assist in the preparation of regular and ad-hoc reports that summarize key metrics and insights.

This role is ideal for someone who is detail-oriented, has a strong analytical mindset, and is proficient in Python for data manipulation. You will have the chance to apply your programming skills to tangible business challenges and grow your expertise in the field of data analytics. You will be supported by a team of experienced professionals who are committed to your development.

• Solid understanding of Python and its data analysis libraries (Pandas, NumPy).
• Familiarity with data visualization tools.
• Basic knowledge of SQL for data querying is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to work in a team.
• 0-2 years of relevant experience or a recent graduate from a relevant program.

• Hands-on experience with real-world data analytics challenges.
• Mentorship and guidance from experienced data professionals.
• Enhance your portfolio with a significant data analysis project.
• Flexible remote work arrangement.