Data Analyst - Python, Data Visualization, Predictive Modeling - TJ / 1846118

Our client Core Assists is looking for a Data Analyst \- Python, Data Visualization, Predictive Modeling in Lahore Core Assists seeks a skilled Data Analyst with a minimum of two years of experience to join our team. The ideal candidate is proficient in Python and has a strong ability to analyze large datasets to uncover patterns and provide actionable insights. This role plays a critical part in translating complex business needs into effective data solutions. The candidate works closely with various teams to develop predictive models, generate clear and impactful data visualizations, and produce comprehensive reports for stakeholders. Accuracy and maintaining high data quality standards are essential Responsibilities to ensure trusted decision\-making supports business objectives. Additionally, the candidate must have experience working with ERP systems and extracting data by joining tables using Python, R, SQL, or similar tools. **Responsibilities** * Analyze extensive datasets to identify key trends, patterns, and insights that inform business strategies. * Develop and implement predictive models to support forecasting and decision\-making processes. * Create detailed and user\-friendly data visualizations and reports that communicate findings to stakeholders effectively. * Collaborate with cross\-functional teams to understand and translate their requirements into actionable data\-driven solutions. * Ensure data accuracy and consistently maintain high data quality standards through validation and cleansing processes. * Extract data from ERP systems by understanding system architecture and table relationships. * Execute complex data queries by joining tables using Python, R, SQL, or equivalent data tools to gather relevant information. * Continuously optimize data extraction and analysis procedures to improve efficiency and reliability. * Document data analysis methods and maintain clear records to facilitate reproducibility and knowledge sharing. * Stay up to date with industry trends, new tools, and best practices in data analysis to drive continuous improvement.