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Alex MacKenzie

Alex MacKenzie

Financial Data Analyst @ ZEISS | Stats Grad @ UofT
Toronto, Ontario

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About Alex MacKenzie:

Hi, I'm Alex 👋 I'm a data analyst at heart who loves to ask questions and understand outcomes, outputs, & processes at a deeper level. 

Leveraging my statistical background, I've become adept at utilizing industry-leading reporting and visualization tools like Python, R, Power BI, and Tableau. I have analytics experience interning at RBC and also had the opportunity to conduct quantitative research during my time in university. I'm currently working as a financial data analyst at ZEISS Vision Care, implementing technical solutions to derive actionable insights which fuel business growth.

I'm always looking to grow both professionally and as an individual and would love to connect with you!

Experience

FINANCIAL DATA ANALYST – ZEISS Vision Care – North York, ON                                 November 2022 - Current

  • Developed an interactive sales map across Canada using Python GeoPandas & Folium libraries highlighting over- & underperforming area codes to direct monthly managerial reviews with sales reps resulting in 15% higher gross sales
  • Created an automated Power BI dashboard of customer orders using modelling & DAX calculations to track both recent & 13-week unit growth showing key brand & customer trends, prompting a 20% volume surge through strategy alignment
  • Produced Excel reports using Pivot & Power Query to improve customer service & support promotional campaigns
  • Managed 5K customer accounts and led software migration through data-mapping in ERPs to maintain business function

 

QUANTITATIVE GENETICS RESEARCHER – University of Toronto – Sztepanacz Lab             September 2021 – June 2022

  • Used RStudio & Bash to create pedigrees & model genetic variation in simulated animal populations allowing the comparison of observed trait values with genetic underpinnings using multivariate matrix comparison
  • Found similarity of phenotypic & genetic variation using PCA & subspace testing and plotted results with R ggplot2 package
  • Designed an award-winning poster and presented novel findings at the OE3C 2022 conference at Queen’s University

 

BUSINESS SYSTEMS ANALYST INTERN – Royal Bank of Canada – Toronto, ON                         May 2020 –August 2020

  • Integrated Excel & ServiceNow to present software application health metrics to upper management allowing retrieval of key fiscal diagnostic trends among different business lines & operational areas, facilitating the presentation of Q4 data
  • Developed teamwide business analytics dashboard in ServiceNow resulting in a total support case time reduction of 4%
  • Ran SQL queries to assess data needs and streamlined data pipelines between wealth management apps using Excel & JIRA

 

FOURTH DEGREE MASTER INSTRUCTOR – Kickstart Taekwondo – Etobicoke, ON               October 2016 – March 2020

  • Led classes with >20 students of all ages instilling discipline & confidence and promoting teamwork
  • Directed martial arts training with pattern recognition & tailored strategies to master mobility & techniques

Education

HONOURS BACHELOR OF SCIENCE – University of Toronto                                               September 2018 – April 2022

Statistics Major, Mathematics & Biology Double Minor

Relevant Coursework: Probability & Statistics II, Experimental Design, Applied Statistics, Data Analysis II

CFA Level 1 Candidate, CFA Institute

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