Qazi Fabia Hoq

Marketing Data Analyst @Marla’s Fashions

AlgorithmsSQLStatistical AnalysisSpark🏦 FinanceTableauData ModellingDatabase ManagementSTEMPowerBIETLData WarehousingPythonNoSQLHadoopData ModelingCanada💸 Marketing✔️ IT📝 Influencer or Blogger👍 Sales & BizDev🧮 EducationContent ManagerInfluencer Marketing ManagerProject ManagerBloggerML EngineerData ScientistPostGraduateData EngineerData AnalystBI AnalystSales Manager🎓 StudentResearcherUndergraduate StudentDatabase Developer

* Achieved a 20% increase in ROI for marketing campaigns by analyzing performance data and implementing optimizations using SQL and Python. * Conducted customer churn analysis, resulting in a 10% increase in customer retention rate. Performed customer segmentation to target high-value customer groups, improving marketing campaign effectiveness by 15%. * Utilized Excel, including VLOOKUPs, and SQL to analyze sales data, identifying trends and patterns that led to a 10% increase in sales revenue. * Implemented data visualization techniques in Tableau to create interactive dashboards that provided insights into sales performance, resulting in a 15% improvement in sales forecasting accuracy. * Developed and executed pricing strategies based on SQL queries and data analysis, leading to a 10% increase in profit margins for selected product categories. * Boosted website traffic by 25% and improved sales by 15% through strategic analysis of Google Analytics data and targeted marketing campaigns. * Achieved a 30% boost in customer engagement metrics by analyzing campaign performance and recommending optimizations based on KPI analysis with SQL and Python. * Created and presented detailed performance reports using Tableau, enhancing data-driven decision-making across marketing and sales teams. * Collaborated with cross-functional teams to align marketing strategies with business objectives, improving campaign efficiency and effectiveness.

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Work Background

Marketing Data Analyst

Marla’s FashionsMarketing Data Analyst

Nov. 2023Canada, Toronto* Achieved a 20% increase in ROI for marketing campaigns by analyzing performance data and implementing optimizations using SQL and Python. * Conducted customer churn analysis, resulting in a 10% increase in customer retention rate. Performed customer segmentation to target high-value customer groups, improving marketing campaign effectiveness by 15%. * Utilized Excel, including VLOOKUPs, and SQL to analyze sales data, identifying trends and patterns that led to a 10% increase in sales revenue. * Implemented data visualization techniques in Tableau to create interactive dashboards that provided insights into sales performance, resulting in a 15% improvement in sales forecasting accuracy. * Developed and executed pricing strategies based on SQL queries and data analysis, leading to a 10% increase in profit margins for selected product categories. * Boosted website traffic by 25% and improved sales by 15% through strategic analysis of Google Analytics data and targeted marketing campaigns. * Achieved a 30% boost in customer engagement metrics by analyzing campaign performance and recommending optimizations based on KPI analysis with SQL and Python. * Created and presented detailed performance reports using Tableau, enhancing data-driven decision-making across marketing and sales teams. * Collaborated with cross-functional teams to align marketing strategies with business objectives, improving campaign efficiency and effectiveness.

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