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Wesley Dickens
Product Analytics Lead at Real
Wesley Dickens is a data professional with extensive experience in analytics and product strategy. He currently works as a Senior Data Analyst at Flowcode® in New York, New York.1 Previously, he held the position of Product Analytics Lead at Real from February 2022 to September 2022.1
Wesley's career history includes:
- Senior Data Analyst at Real (January 2021 - February 2022)1
- Data Analyst roles at Facebook, focusing on Partnerships Science and Media Operations (2015 - 2021)1
- Brand Management Intern at Warner Music Group (June 2015 - September 2015)1
He holds a Bachelor's Degree in Psychology from Texas A&M University, which he completed between 2010 and 2015.1 Wesley also obtained a Product Analytics Certification from Product School in June 2022.1
In his roles, Wesley has demonstrated expertise in:
- Developing comprehensive data strategies
- Designing and optimizing data models and ETL processes
- Creating data visualizations and dashboards
- Identifying opportunities for business optimization and revenue generation
- Partnering with stakeholders to drive strategic decisions based on data insights1
Wesley Dickens is based in New York and has over 500 connections on LinkedIn.1
Highlights
I'm #OpenToWork
The last four months at Flatiron School have been nothing short of extraordinary. I've gained a ton of technical prowess in machine learning and data science. However, the most significant improvements for me have been in confidence and the expansion of my professional vocabulary.
Throughout my eight-year career, I've developed considerable expertise in data analysis. However, I often found myself at a loss for words to articulate the intricacies of my work. Even more challenging was defending my analyses and presentations against scrutiny from stakeholders. Those days are behind me now.
As I approach the final week before graduation, I am fully embarking on the job search journey. I would greatly appreciate it if you could spread the word within your network or let me know of any opportunities you come across.
Here’s a snapshot of my skill set:
What I'm great at:
- SQL
- Python/Pandas
- Regression Analysis
- Data Visualization (including tools like Looker, Tableau, and PyPlot)
- Data Storytelling
What I'm good at:
- Machine Learning
- Natural Language Processing
What I'm bad at:
- Juggling
