Eshipz.com - Data Analyst - SQL/Python

2 weeks ago


Bengaluru India eShipz Full time

Job Description Description We are seeking a curious and analytical Data Analyst to join our growing team. This role is the perfect blend of deep data analysis, statistical modeling, and applied machine learning. With 3+ years of hands-on experience, you will be responsible for translating complex business questions into data-driven solutions. You will work cross-functionally to mine massive datasets, perform exploratory data analysis, build predictive models, and generate actionable insights that drive product strategy, operational efficiency, and business growth. The ideal candidate has a strong statistical foundation and proven experience in applying ML models to real-world business problems. Key Responsibilities - Exploratory Data Analysis (EDA) : Query, clean, and analyze large, complex datasets to identify trends, patterns, and anomalies. - Predictive Modeling : Develop, train, and evaluate machine learning models (e.g., regression, classification, clustering, time-series forecasting) to solve business problems like customer churn prediction, fraud detection, or sales forecasting. - Feature Engineering : Identify and create relevant features from raw data to improve model accuracy and performance. - Data Manipulation : Write efficient and complex SQL queries for data extraction. - Use Python (Pandas, NumPy) for advanced data manipulation, cleaning, and preparation. - Insight Generation & Communication : Translate complex statistical and ML-driven findings into clear, concise, and actionable insights for non-technical stakeholders. - Visualization : Create compelling dashboards and reports (using tools like Tableau, Power BI, or Python libraries) to communicate model results and analytical insights. - Model Validation : Continuously monitor and validate model performance in production, suggesting improvements and retraining as needed. - Collaboration : Partner with data engineers, product managers, and business stakeholders to define project requirements, gather data, and deploy solutions (ref:hirist.tech)



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