Yakhya Sarr

Data analyst | Revenue & Business intelligence analyst

Talent

Clear, AlaskaMember since May 11, 2026

TableauSQLPower BIDAXPower QueryData ModelingPower AutomatePythonExcelETLBusiness IntelligenceSales pipeline analysisRevenue KPIsARRChurnCACLTVData validationProcess automationDecision-makingAPIsRevenue AnalyticsForecasting

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TableauSQLPower BIDAXPower Query

About

Data & Business Intelligence Analyst with 5 years of experience driving revenue performance, sales pipeline analysis, and operational efficiency. Translate complex data into strategic insights for cross-functional teams (Sales, Product, Finance). Expert in SQL, Tableau, Power BI (DAX, Power Query), and process automation. Delivered a data project that increased operational efficiency by 40% and improved data-driven decision-making speed by 20%.

Experience

Data Analyst (Revenue & Product Focus) at DEVON (2023-02 – 2025-03)

Analyzed sales and customer data to track pipeline performance, conversion rates, and revenue KPIs, enabling data-driven GTM decisions that improved product strategies by 20% annually.
Developed executive dashboards in Tableau to monitor revenue performance and operational KPIs, improving management decision-making speed by 20%.
Built data validation and quality checks for SQL databases, reducing reporting errors by 15% and ensuring reliable forecasting.
Collaborated with product and sales teams to deliver customer segmentation insights, contributing to successful new product launches.
Initiated and led data literacy training for internal stakeholders, resulting in a 25% increase in cross-functional use of analytics.
Power BI enhancements: Created interactive dashboards using DAX (CALCULATE, time intelligence) and Power Query for ETL, reducing report refresh time by 30%.

Data Analyst & Order Picker at KERATIN PROF (2024-02 – 2025-03)

Analyzed market trends and sales data to support revenue forecasting and customer loyalty initiatives, improving retention by 10%.
Automated data pipelines using Python, reducing manual processing time by 15% and improving data reliability for strategic analysis.
Maintained and optimized SQL databases, implementing data governance practices to guarantee accuracy and availability.
Presented analytical findings to cross-functional teams (operations, marketing), influencing decisions on inventory and customer engagement.
Contributed to predictive models that enhanced understanding of customer lifetime value (LTV) and churn risk.