We are looking for a detail-oriented and motivated Python Analyst with 1–2 years of hands-on experience in data analysis, automation, and reporting. This role offers an excellent opportunity to work closely with Product and Development teams, leveraging Python, SQL/Snowflake, and BI tools to transform raw data into meaningful insights and automated workflows.

What we expect you to contribute to:

Utilize Python to automate repetitive data processing, reporting, and analytical workflows.
Use Python libraries (e.g., Pandas, NumPy) to clean, preprocess, and analyze large datasets.
Design and implement insightful data visualizations; support the creation of dashboards and analytical reports for the Product/Dev teams.
Write, optimize, and troubleshoot SQL and Snowflake queries to extract and manipulate data from relational databases.
Ensure high standards of data accuracy and integrity by conducting validation checks and implementing cleansing techniques.
Document analytical workflows, automation scripts, and data processes to maintain clarity and consistency across projects.
Collaborate with cross-functional teams to translate data findings into actionable business insights.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
3+years of experience in Python-based data analysis and automation.
Strong knowledge of Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, etc.
Hands-on experience writing and optimizing SQL queries; experience with Snowflake is an added advantage.
Familiarity with BI tools (Power BI, Tableau, or similar) for creating dashboards and visual reports.
Strong analytical thinking, problem-solving skills, and high attention to detail.
Ability to manage multiple tasks, document workflows, and work in a fast-paced environment.
Good communication skills and the ability to collaborate with cross-functional teams.

Python Developer

Requirements