Taylor Holash

About Taylor Holash

Analyzing data to problem solve with creative solutions is at the core of everything I do. Whether it is analyzing data from my runs on a new training cycle for an upcoming marathon, planning backpacking and climbing trips, to partnering with clients to identify growth opportunities as a Manager of Analytics on the Marketing Science Engagement Team at Albertsons Media Collective. Despite this, I\'ve had an unconventional path to becoming a Data Analyst with Covid both disrupting my professional development and unlocking data analytics as a new career path. Along my path to becoming a data analyst I\'ve learned countless valuable lessons in both technical skills and soft skills- As a Market Researcher I learned to collaborate with cross-functional teams, translate a business problem into a marketing problem, and how to utilize data to tell a story with actionable business recommendations- Pivoting to a Tax Preparer during Covid unlocked confidence as a professional in the sense of owning my clients entirely and baking in an entrepreneurial mindset- Utilizing the downtime of Covid I chose to to up-skill with DataCamp to sharpen my technical skills with Python, SQL, and Tableau- Completing my MBA reinforced the need for organization, the use of frameworks to address ambiguous problems, and how to communicate to audiences of varying technical backgrounds- Joining a small marketing agency provided countless opportunities to pursue my own autonomous projects, such as implementing a forecasting budgeting tool for the Paid Media Team to reduce the occurrences of overspending and underspending by 23%.Once at the Albertsons Media Collective I used the above lessons to identify a threat to investment from one of our larger clients due to a declining success rate from one of our statistical models. The issue was that the model was a black-box preventing us from knowing what was causing the model to fail. To address the issue I utilized Google Big Query to join multiple datasets, which was then funneled into a multiple linear regression model in Python to determine which digital campaign variables contributed the most to statistical significance. The result from the analysis identified five key variables in campaign set up that when applied over 2024 increased the number of statistically significant results by over 50% from 2023.

Experience

1. Manager Analytics, Marketing Science Enablement

   Albertsons Media Collective

   Feb 2024 — Present · Pleasanton, CA, US

   Managed a team of 1 Senior Analyst, coaching them on how to communicate to audiences of varying technical understanding, consult clients as a business partner, and encourage an entrepreneurial mindset by pushing them to select and own their own aspirational side projects- Lead the development of an Executive Leadership Dashboard that aided in the diagnosing of troubling large-scale campaign performance trends and the tracking of health metrics for new product capabilities resulting in a significant improvement in client experience- Partnered with 8 clients in the ingredients category providing custom analyses to identify growth opportunities and new analytic tools to increase annual media investment by 16% reaching over $15M.

Education

• Chapman University

  Bachelor's degree, Business Administration and Management, General

  2013 — 2017

• Santa Clara University

  Master of Business Administration - MBA, Business Analytics