Professional Summary
Senior Data Analyst specializing in business intelligence and data modeling, with experience developing enterprise analytics solutions that transform complex data into actionable insights. Proven expertise in Power BI, SQL, and advanced DAX, building scalable reporting frameworks including Share of Wallet models, product penetration analytics, and sales performance dashboards.
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Experienced in integrating data across platforms such as Salesforce, Databricks, and Oracle NetSuite to support executive reporting and strategic decision-making. Strong collaborator with cross-functional teams, translating business needs into data-driven solutions that drive measurable results.
Core Skills
Technical Skills
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Microsoft Power BI
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DAX (Data Analysis Expressions)
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SQL (Structured Query Language)
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Power Query (M)
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Azure Databricks
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RStudio
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Oracle NetSuite
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Alloy.ai Administration
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Adobe Analytics
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Jira
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Confluence
​Analytics & Data Expertise
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Data Modeling
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ETL / Data Integration
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Data Transformation
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Data Architecture Optimization
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Quantitative Data Analysis
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Revenue & Sales Analytics
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Customer & Product Analysis
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Customer Segmentation
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Share of Wallet Analysis
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KPI & Performance Analytics
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Time Intelligence (DAX)
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Data Exploration & Feature Engineering
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Statistical Analysis
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CRISP-DM Framework
Business & Leadership Skills
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Data Visualization
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Executive Dashboard Development
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Report Development
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Data Storytelling
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Stakeholder Reporting
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Stakeholder Discovery
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Cross-Functional Collaboration
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Strategic Planning
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Agile Methodologies
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Leadership
Work
Experience
Access Information Management
June 2024 – March 2026
Senior Data Analyst / Sales Operations Analyst​
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Designed and developed a Share of Wallet (SOW) analytics model to identify whitespace revenue opportunities across Salesforce Parent Accounts by comparing estimated market opportunity against billed service revenue
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Built advanced Power BI data models and DAX calculations to support account prioritization, product penetration analysis, and revenue-per-employee metrics
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Developed Post KPI / CPQ reporting models to track sales pipeline performance, including closed-won and closed-lost opportunities
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Implemented advanced time intelligence frameworks and disconnected date logic to enable flexible current-year vs prior-year performance analysis
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Optimized Power BI models by shifting transformation logic upstream into SQL and Power Query, improving model performance and scalability
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Partnered with sales leadership, finance, and operations teams to deliver actionable insights supporting strategic decision-making
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Maintained enterprise reporting used in executive dashboards, operational reviews, and sales performance tracking
BowFlex Inc. / Nautilus Inc.
December 2019 – April 2024
​Sales Operations Analyst II
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Designed and automated Power BI dashboards and reporting pipelines integrating Databricks, Excel, OneDrive, and Power Platform dataflows
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Developed a KPI analytics framework using DAX to analyze customer purchasing behavior and marketing performance
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Improved data model performance by migrating transformation logic into Databricks and Power Query, reducing model size by 10–15% and refresh times by 20–25 minutes
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Accelerated analytics availability by 4–6 hours daily and 12–16 hours quarterly through reporting automation and data pipeline optimization
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Supported enterprise data integration across Alloy.ai and Oracle NetSuite to enable omnichannel direct-to-consumer analytics
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Collaborated with stakeholders to deliver scalable reporting solutions supporting sales and customer performance analysis
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Jr. Sales Operations Analyst
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Delivered ad-hoc reporting and analytics using Oracle NetSuite to support business decision-making and operational reporting
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Supported revenue tracking, KPI reporting, and commission analysis across sales operations
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Designed and launched the New Product Introduction (NPI) Launch Metrics Dashboard, improving product performance visibility
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Contributed to enterprise migration from Infor Birst to Power BI, supporting scalable analytics development
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Built Power BI reporting models integrating marketing and subscription data to enhance customer and performance insights
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Developed custom DAX time intelligence logic used across enterprise reporting to standardize time-based analytics
Education
2018 - 2026
Southern New Hampshire University
Master of Science – Data Analytics
2012 - 2016
Earlham College
Bachelor of Science – Computer Science
Certifications
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Google Data Analytics Certificate (Coursera)
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Application of Data Analysis Essentials – AICPA
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Data Analytics Core Concepts – AICPA