
Manisha Kumari
About Candidate
• Experienced Business Analyst with more than 5 years of experience in leveraging data-driven insights to enhance business operations across manufacturing, real estate and biotech research-based industries.
• Analytical skills to develop dashboards based on the client requirement by using Data visualization tools.
• Conducted exploratory data analysis using SQL to identify patterns, trends, and anomalies in sales data; generated insights that increased sales by 25% and reduced customer complaints by 30%.
• Problem solving, analytical, data modelling, data management and data presentation skills.
• Demonstrated ability to work under pressure situations and meet deadlines
Education
Experiences
> Net Promoter Score (NPS) Optimization: Led a SQL-driven initiative to analyze customer feedback segment users and implement product-based interventions. Conducted SQL-driven exploratory analysis on customer feedback data, segmenting users into promoters, passives, and detractors. > Built custom SQL queries to track patterns in negative feedback, identifying key areas for product intervention. Implemented targeted engagement strategies, leading to a 25% reduction in negative NPS and improved user satisfaction. > Sales Strategy & Revenue Growth: Designed and executed a data-backed sales strategy, resulting in a 30% increase in revenue. Designed SQL dashboards to track and analyze sales conversion metrics across multiple teams, identifying bottlenecks in the sales pipeline and recommending data driven process improvements. > Used data to streamline the distribution process of the product, ensuring timely delivery and minimizing logistics costs while maintaining product availability.
> Marketing Campaign Analysis: Used SQL and Excel to evaluate campaign success and optimize customer acquisition cost (CAC). > Customer Retention & Churn Reduction: Conducted SQL-based cohort analysis, leading to a 20% decrease in churn rate and a 25% improvement in customer lifetime value. > Developed SQL-based customer segmentation to identify high-risk churn groups and created a data-driven retention plan, increasing customer lifetime value by 25%. > Conducted exploratory data analysis to identify key insights for business strategy. > Designed efficient database schemas and indexing strategies to optimize query performance
> Analyzed sales data and customer trends, leading to optimized product distribution strategies. > Developed business performance reports to track key metrics and improve operational efficiency > Collaborated with sales and marketing teams to enhance lead generation and customer retention.