Data Insights Analyst

Role Overview: As a Data Insights Analyst at our company, you will be responsible for performing data analysis, building predictive machine learning models, developing data visualization dashboards, and collaborating with stakeholders to drive data-driven decision-making. If you excel in solving complex business problems using data and have a passion for creating impactful insights, this role is perfect for you. Key Responsibilities: - Perform exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights. - Build predictive machine learning models (regression, classification, clustering) using Python & Scikit-learn. - Apply statistical techniques and control charts for performance monitoring and anomaly detection. - Develop machine learning solutions tailored to business needs, including preprocessing, feature engineering, and model optimization. - Write Python scripts to automate data transformation workflows (e.g., JSON CSV/Excel). - Design and publish dashboards using Tableau (Power BI added advantage). - Build charts, parameters, filters, and interactive components for stakeholder consumption. - Present insights visually using Matplotlib, Seaborn, and Plotly. - Perform data wrangling, cleansing, and transformation to ensure data quality and reliability. - Use SQL extensively for data extraction, manipulation, and analysis. - Understand business requirements and translate them into analytics solutions. - Communicate findings clearly to business and technical teams. - Support continuous improvement of analytics models and dashboards. Qualification Required: - 3+ years of experience in Data Science / Data Analytics. - Strong proficiency in Python and libraries (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn). - Expertise in SQL. Role Overview: As a Data Insights Analyst at our company, you will be responsible for performing data analysis, building predictive machine learning models, developing data visualization dashboards, and collaborating with stakeholders to drive data-driven decision-making. If you excel in solving complex business problems using data and have a passion for creating impactful insights, this role is perfect for you. Key Responsibilities: - Perform exploratory data analysis (EDA) to identify trends, anomalies, and actionable insights. - Build predictive machine learning models (regression, classification, clustering) using Python & Scikit-learn. - Apply statistical techniques and control charts for performance monitoring and anomaly detection. - Develop machine learning solutions tailored to business needs, including preprocessing, feature engineering, and model optimization. - Write Python scripts to automate data transformation workflows (e.g., JSON CSV/Excel). - Design and publish dashboards using Tableau (Power BI added advantage). - Build charts, parameters, filters, and interactive components for stakeholder consumption. - Present insights visually using Matplotlib, Seaborn, and Plotly. - Perform data wrangling, cleansing, and transformation to ensure data quality and reliability. - Use SQL extensively for data extraction, manipulation, and analysis. - Understand business requirements and translate them into analytics solutions. - Communicate findings clearly to business and technical teams. - Support continuous improvement of analytics models and dashboards. Qualification Required: - 3+ years of experience in Data Science / Data Analytics. - Strong proficiency in Python and libraries (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn). - Expertise in SQL.