Sales Operation Data Analyst

Summary

The following are career highlights:

Harvard University: Collected and analyzed data that enabled businesses to boost leadership effectiveness, using groundbreaking findings on cardiac modulation as an index of individuals' performance. The study's findings are cited in: "Limitless", Chris Harmsworth's docuseries on Disney+, a TEDTalks on stress management, and numerous NIH.gov citations.

Department of Defense: 3 years experience exceeding operational objectives, strategically leading 20+ groups in excursions across the German Alps; partnered with business leaders to innovate processes.

Oracle: 7 years of combined expertise optimizing sales performance using prescriptive analytics to generate multi-million-dollar growth for enterprise and start-up tech companies.

EXPERTISE

Data Analysis | SQL | Power BI | Salesforce Administrator | Dashboards | Data Visualizations | MSFT Excel | Google Analytics | Sales Enablement | Process Improvements | Automation | Forecasting | Business Analysis | Account Management | Demand Generation | Marketo | Pardot | InsideSales

Expectations

The organizations that gain marketshare are those who capitalize on their sales data to maximize their success or pivot to new strategies amidst economic change.

My objective is to align myself with an organization that demands top-tier talent to provide business intelligence to weather any financial storm.

At other companies, I've had incredible success driving the go-to-market strategy with Sales Leaders by using the following expertise:

1. Foundational utilization of essential data analysis platforms (Excel, SQL, PowerBI, Tableau,) and knowing when to use them in the data lifecycle.
2. Translating a business question into a data analysis answer, including transforming, visualizing, and modeling data.
3. Distilling findings into actionable takeaways.

If your organization fits this profile I would welcome an introductory conversation to see if our objectives align.

Employment Preferences
Expected Base Salary

**2,000 USD

Academic Degree
Experience

Total Professional Experience

20 years

Startup Experience

5 years

Big-Tech Companies

2 years

Enterprise Experience

5 years
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