IND Analyst-Private Brands

Role Overview: As an Analyst Program Support in the after-sales program at Lowe's, you will play a key role in supporting data analysis, reporting, and process optimization efforts aimed at enhancing after-sales operations and customer experiences. You will collaborate with senior analysts, cross-functional teams, and stakeholders to collect, analyze, and interpret data, generate actionable insights, and drive continuous improvement in the after-sales program. Key Responsibilities: - Data Collection and Integration: - Collect, consolidate, and integrate data from various sources, including CRM systems, customer feedback platforms, vendor databases, and internal operational systems. - Develop and maintain data pipelines and data transformation workflows to ensure data accuracy, completeness, and consistency. - Data Analysis and Insights: - Perform exploratory data analysis (EDA) to identify patterns, correlations, and trends in after-sales data, such as product returns, warranty claims, and customer support interactions. - Develop analytical models, statistical analyses, and predictive models to derive actionable insights and forecast after-sales performance metrics. - Reporting and Visualization: - Create and automate reports, dashboards, and data visualizations using tools such as Tableau, Power BI, or Excel to communicate key performance indicators (KPIs), trends, and insights to stakeholders. - Generate executive summaries, performance scorecards, and ad-hoc analyses to support decision-making processes and strategic initiatives. - Performance Monitoring and Optimization: - Monitor after-sales performance metrics, vendor performance indicators, customer satisfaction scores, and service level agreements (SLAs) to track progress against targets and identify areas for optimization. - Collaborate with cross-functional teams to implement process improvements, address bottlenecks, and enhance operational efficiency. - Data Quality Assurance and Governance: - Implement data quality checks, validation procedures, and data governance best practices to ensure data integrity, reliability, and compliance with regulatory requirements. - Identify and resolve data quality issues, anomalies, and discrepancies through data cleansing, data profiling, and data validation techniques. Qualification Required: - Bachelors Degree in Administration or Computer Science - Minimum of 2+ years of valid experience in automation, data governance, continuous improvement, Power-BI, SQL, and MS Excel (VBA) with experience in data visualization and effective presentation skills. - Strong communication, strategic planning, project management, organizational, analytical, and customer service skills. - Proficiency in MS Office, ability to learn new systems, and develop a solid understanding of the financial elements of the business. - Proven business acumen, judgement, decision-making skills, and analytical mindset. (Note: Additional details about the company were not provided in the job description.),