Business Process Data Analysis

M. DAVE SALISBURY

**** * ***** ***, *** Cruces, NM 88001 / 435-***-****

********@*****.*** / www.linkedin.com/in/davesalisbury

Professional Summary:

Data-driven professional with expertise in business process analysis, operational optimization, and performance improvement. Skilled in applying statistical tools, data visualization, and qualitative/quantitative research methods to drive decision-making. Experienced in leveraging insights to improve business performance, training programs, and employee engagement. Proficient in data tools such as SQL, Kibana, Minitab, MaxQDA, and SPSS.

Data Analysis Core Skills:

• Data Analysis & Visualization

• SQL, SPSS, Minitab, Kibana, MaxQDA

• Root Cause Analysis & Process Optimization

• Data-driven Decision Making

• Performance Metrics & KPIs

• Business Process Improvement

• Employee & Operational Insights Analysis

• Statistical Modeling & Forecasting

• Research Methodologies (Quantitative & Qualitative)

• Change Management & Stakeholder Collaboration

Key Achievements:

• Conducted root cause analysis at Amazon, reducing operational errors and improving fulfillment center efficiency.

• Leveraged statistical tools (SPSS, Minitab) to analyze employee feedback, resulting in a 45% improvement in VOE scores.

• Analyzed quality metrics across multiple warehouses, identifying process gaps that led to a 20% increase in operational accuracy.

• Utilized SQL and Kibana to generate performance dashboards, enabling leadership teams to track productivity in real-time.

• Six Sigma Yellow Belt

• Scrum Master Certification

Professional Experience:

D&C Consulting – Owner/Lead Project Manager (Apr 2004 – Apr 2024)

• Conducted data analysis using SPSS and Minitab to measure the impact of training programs and employee engagement initiatives.

• Applied research methodologies (qualitative & quantitative) to evaluate workforce trends and inform organizational change strategies.

• Developed dashboards and reports for clients to visualize performance data and support data-driven decision-making.

• Led process improvement initiatives, using root cause analysis to reduce operational bottlenecks and increase efficiency.

Amazon – Regional Count Meister (Sep 2020 – Sep 2023)

• Analyzed operational data using SQL and Kibana to monitor productivity and drive performance improvements across fulfillment centers.

• Conducted detailed root cause analysis to identify inefficiencies, leading to a reduction in inventory discrepancies and improved cycle count accuracy.

• Collaborated with warehouse managers to interpret quality metrics and implement data-driven solutions to meet production targets.

• Produced data visualizations and performance dashboards to support operational decision-making.

US Navy – Military Service (Feb 2000 – Apr 2004)

• Managed equipment and maintenance data, ensuring compliance with operational and safety standards.

• Audited records and conducted statistical reviews to maintain operational readiness.

• Analyzed procurement data to optimize vendor relationships and reduce costs.

Education Section:

• Ph.D., Industrial and Organizational Psychology (Graduated Jun 2024) – Grand Canyon University. Dissertation: The Role of Instructors in Transforming Employees in Corporate Training

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