Role Overview

We are looking for a Mid-Level Data Analyst, who will play a key role in transforming raw data into predictive insights, helping us make smarter decisions and deliver cutting-edge solutions to our customers.
We are expanding our analytics team to harness the power of machine learning and advanced data science. 

Key Responsibilities: 

• Apply machine learning models (classification, regression, clustering) to business datasets for predictive insights.
• Build and maintain data pipelines for ML workflows, ensuring clean and reliable input data.
• Collaborate with product and engineering teams to integrate ML-driven insights into business processes.
• Conduct feature engineering and model evaluation using Python libraries (scikit-learn, pandas, numpy, etc.).
• Ensure data quality, consistency, and reproducibility across all ML projects.
• Translate complex ML outputs into clear, actionable insights for non-technical stakeholders.

Requirements:

• 2–5 years of experience in data analysis, with at least 1+ years applying machine learning techniques.
• Strong proficiency in Python (pandas, numpy, scikit-learn, matplotlib, seaborn).
• Hands-on experience with CRM platforms (Salesforce, HubSpot, Zoho, Freshsales) and data integration via APIs.
• Solid understanding of data preprocessing, feature engineering, and model evaluation.
• Experience with data visualization tools (Tableau, Power BI, or similar).
• Strong analytical thinking, attention to detail, and ability to communicate technical concepts clearly.