Decision Science Analyst Resume Example

Senior Decision Science Analyst · Bloom & Braid Inc.

Austin, TX · 2021 - Present

• Led product analytics for key e-commerce features, contributing to a 15% increase in conversion rates for new users over two years.
• Designed and executed A/B tests on product recommendations, resulting in a 10% uplift in average order value (AOV) and $2M annual incremental revenue.
• Developed predictive models for customer churn, identifying high-risk segments with 85% accuracy and informing targeted retention strategies that reduced churn by 7%.
• Collaborated with product and engineering teams to define key performance indicators (KPIs) and build dashboards in Tableau, increasing data accessibility for 50+ stakeholders.

Decision Science Analyst · Nexus Solutions

Austin, TX · 2019 - 2021

• Performed deep dive analyses into user journey data, identifying bottlenecks and optimizing checkout flows which improved completion rates by 8%.
• Implemented machine learning algorithms for demand forecasting, reducing inventory overstock by 12% and improving fulfillment efficiency.
• Conducted market basket analysis to inform cross-selling strategies, leading to a 5% increase in items per transaction.
• Automated data extraction and reporting processes using SQL and Python, saving 10 hours per week for the analytics team.

M.S. in Business Analytics · University of Texas at Austin

Austin, TX · 2017 - 2019

• GPA: 3.9/4.0, Dean's List
• Thesis: "Predictive Modeling for E-commerce Customer Churn in Subscription Services"

B.S. in Statistics · Texas A&M University

College Station, TX · 2013 - 2017

• GPA: 3.8/4.0, Summa Cum Laude
• Awards: Departmental Honors in Statistics

Senior Decision Science Analyst · Apex Innovations

Seattle, WA · 2022 - Present

• Developed and deployed a customer churn prediction model using gradient boosting, reducing churn by 12% and saving an estimated $1.5M annually.
• Led A/B testing initiatives for key product features, identifying optimal designs that increased user engagement by 18% and conversion rates by 7%.
• Designed and implemented a pricing optimization algorithm, resulting in a 5% increase in average transaction value and 3% uplift in overall revenue.
• Mentored junior analysts on advanced statistical techniques and machine learning best practices, improving team efficiency by 15%.

Decision Science Analyst · Horizon Data Labs

Seattle, WA · 2020 - 2022

• Built and maintained forecasting models for product demand, achieving 90% accuracy and reducing inventory holding costs by 8%.
• Conducted in-depth analyses of marketing campaign performance, identifying segments with 25% higher ROI for targeted advertising spend.
• Collaborated with product teams to define key performance indicators and implement tracking mechanisms for new features, ensuring data-driven development.
• Automated data extraction and reporting processes using Python and SQL, cutting manual effort by 20 hours per week for the analytics team.

Senior Business Analyst · Meridian Solutions

Seattle, WA · 2017 - 2020

• Performed comprehensive financial modeling and variance analysis for multi-million dollar projects, identifying cost savings opportunities totaling $500K annually.
• Developed interactive dashboards in Tableau to visualize key business metrics, improving executive decision-making speed by 30%.
• Streamlined data collection and reporting processes, reducing report generation time by 40% and improving data accuracy by 10%.
• Analyzed market trends and competitor data to provide strategic recommendations that contributed to a 5% increase in market share for a core product line.

Master of Science in Analytics · Georgia Institute of Technology

Atlanta, GA (Online Program) · 2018 - 2020

• Specialization in Computational Data Analytics and Business Analytics.
• Coursework included Machine Learning, Big Data Analytics, Time Series Analysis, and Optimization.
• Graduated with a GPA of 3.9/4.0.

Bachelor of Science in Business Administration · University of Washington

Seattle, WA · 2013 - 2017

• Major in Finance with a minor in Applied Mathematics.
• Awarded Dean's List for 6 semesters.
• Completed capstone project on financial market prediction using statistical modeling.
• Graduated with a GPA of 3.8/4.0.