David Quarshie Email & Phone Number

New York

• As the lead analyst for the Product division, I spearheaded the reporting and delivery of actionable insights for diverse tests and product launches. Leveraging Snowflake for precise data extraction and manipulation, and Tableau for intuitive visualization, I played a pivotal role in guiding our product team through the development and meticulous monitoring of new initiatives. My strategic recommendations paved the way for informed decision-making and effective next steps, driving success in our endeavors.• Implemented a structured monthly and quarterly reporting cadence on product KPIs and in-depth data analysis findings for management review. These comprehensive updates not only offered a holistic view of business and product performance but also illuminated critical metrics that drove significant impact, facilitating informed decision-making and strategic planning.• Conducted in-depth analysis of customer interaction with the line of credit product, focusing on draw behavior, payments, and utilization. Based on this analysis, I proposed targeted customer cohorts for implementing product enhancements, including instant funding and payment schedule adjustments. These strategic enhancements resulted in a remarkable ~16% increase in product activation, a substantial ~12% year-over-year increase in utilization, and an impressive ~40% year-over-year increase in draw volume during the latter half of 2019.

New York, Ny

• Revolutionized data collection and reporting processes for sales management by implementing Tableau scheduled job runs. This strategic initiative drastically reduced report delivery time from approximately two weeks to just a day, empowering management with ample time to analyze insights and make informed decisions promptly.• Consistently upheld the integrity of our data infrastructure while utilizing advanced data mining techniques to analyze customer retention dynamics. The actionable insights derived from this analysis enabled our customer management team to discern optimal timing for engaging current customers, thereby facilitating targeted efforts to nurture ongoing business relationships.• Collaborated closely with both the marketing and data science teams to enhance the efficacy of our customer outreach strategy. Through data-driven insights, we refined our approach to cold calling by pinpointing specific industries, revenue thresholds, optimal times of day, and geographical locations. This updated procedure empowered our representatives to transform cold leads into warm prospects, resulting in more fruitful interactions and increased conversion rates.

New York, Ny

• Led initiatives to optimize yield for LinkedIn's Marketing Solutions, achieving significant results. Implemented a systematic pricing integrity check for all field sales orders, resulting in a remarkable reduction of pricing violations by over 50%. This proactive approach not only safeguarded pricing integrity but also streamlined operations, contributing to improved efficiency and revenue growth.• Enhanced visibility into global discounting and pricing trends by overseeing the transition to a new data format. Subsequently, developed an analysis tool to evaluate the performance of sales teams worldwide, enabling informed decision-making and strategic adjustments to optimize sales effectiveness.• Improved the efficiency of multiple teams by delivering influential analysis utilized by pricing analysts and revenue specialists. This analysis played a pivotal role in determining product pricing strategies while ensuring LinkedIn's compliance with SOX regulations.

Blacksburg, Va

• Contributed as a key member of a dedicated team tasked with generating and delivering timely and precise monthly, quarterly, and yearly reports mandated by the Commonwealth of Virginia, the NRVCS Board, and Federal organizations.• Improved the data management system by identifying and rectifying data quality issues and discrepancies during the transition to a more efficient and user-friendly program, thereby optimizing overall data integrity and usability.

Bachelor Of Engineering (B.E.), Electrical And Electronics Engineering

Master Of Science - Ms, Data Science

High School