Graham Waters
512.568.2351
Austin, Texas 78660
Career Objective
Seeking a data analyst position at your company where I can use data analysis to make impacts. I believe that my personal values and motivation will be an asset to you in your efforts and look forward to seeing how I can contribute, and use data for good.
To download an abbreviated version of this resume as a pdf click the link below on the left, a Microsoft Word Version is also available below on the right.
waters_graham_dataanalyst.pdf
waters_graham_dataanalystresume.docx
Experience
Data Analyst for SCEM Division, Entegris, Inc.
Tech Stack (in this role)
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<img src="/icons/command-line_purple.svg" alt="/icons/command-line_purple.svg" width="40px" /> PowerBI, Excel, VBA, Sharepoint, Pandas, Python
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November 2020 - January 2021
- Compiled weekly data in SharePoint and Excel for production reports communicating metrics to corporate decision-makers.
- Managed a tech stack consisting of PowerBI, Excel, Python, and VBA to automate the two most challenging, time-intensive, supply chain and logistics reports from their legacy Excel formats into PowerBI Dashboards, and performed cursory analyses in Pandas to identify weak-points and inefficiencies.
- Compiled statistical information for monthly reports detailing processes for the SCEM (specialty chemicals and engineered materials) division, which directly impacted decision-making for over 100 supervisors, product planners, and factory managers
- Revised processes, data storage formats, and structures to increase the efficiency of reporting systems and improve scalability of future ML application.
- Partnered directly with the executive team as the first data expert hired to attempt a redesign of the existing data warehousing and reporting apparatus and completed a 20% transformation.
- Delivered status updates to supervisors and recommended changes in design based on challenges faced by various stakeholders.
- Drove service improvements by working cross-functionally to close process gaps.
- Reviewed large amounts of data across multiple platforms and sources to determine operational impacts and needed actions.