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Will Richmond Email & Phone Number

Lead Data Analyst at Base Operations at Base Operations
Location: Boise, Idaho, United States 16 work roles 2 schools
2 work emails found @vacasa.com LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

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Work email w****@vacasa.com
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Current company
Role
Lead Data Analyst at Base Operations
Location
Boise, Idaho, United States

Who is Will Richmond? Overview

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Will Richmond is listed as Lead Data Analyst at Base Operations at Base Operations, based in Boise, Idaho, United States. AeroLeads shows a work email signal at vacasa.com and a matched LinkedIn profile for Will Richmond.

Will Richmond previously worked as Lead Data Analyst at Base Operations and Data Analyst at Base Operations. Will Richmond holds Bachelor'S Degree, Mathematical Economics from Colorado College.

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Email format at Base Operations

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*@vacasa.com
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AeroLeads found 2 current-domain work email signals for Will Richmond. Compare company email patterns before reaching out.

Profile bio

About Will Richmond

I am an analytics professional with 6+ years of experience optimizing business processes and product offerings in physical security and travel. As an individual contributor and lead, I excel in revenue optimization, risk scoring, marketing, A/B testing, and geospatial analytics.

Listed skills include Web Design, Social Media Marketing, Start Ups, Data Analysis, and 10 others.

Current workplace

Will Richmond's current company

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Base Operations
Base Operations
Lead Data Analyst at Base Operations
AeroLeads page
16 roles

Will Richmond work experience

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Lead Data Analyst

Current

Washington, District Of Columbia, Us

Team Leadership: Successfully hired two analysts and served as the lead for the data analytics team.Technical Environment Development: Implemented a collaborative Docker environment for working with Jupyter notebooks. Developed a shared utility function library and integrated key components, including Google and S3 connections, internal APIs, and geospatial functions.BaseScore Development: Created BaseScore, a comparative crime risk metric for the U.S., utilizing H3 hexagons across 22-25k locations. Developed baseline and location datasets, defined eligible areas, and crafted the methodology. This solution is deployed in a Dockerized service with monthly updates.Pipeline Improvements: Enhanced map ingestion and API pipelines for greater efficiency and performance.

Feb 2024 - Present

Data Analyst

Washington, District Of Columbia, Us

Made a trendline for monthly threat count. It accounts for outliers, missing periods, data recency, and segmentation. This predicts forward if there isn’t sufficient data. Applied this to a pipeline for evaluating change performance for saved locations.Created a pipeline that identifies notable unrest events on a monthly cadence applied to worldwide locations. Collaborated with data science on the selection criteria and productionized it.Incorporated GADM geospatial data into a main data pipeline.Wrote a pipeline to clean GEOJSON maps for map application use, checking for intersections, gaps and additional validate.Wrote internal data api functions to expedite analytical problem-solving and ensure data consistency.Wrote functions for nearby locations.

Mar 2023 - Feb 2024

Data Scientist Ii

Portland, Or, Us

Added actionable Sales Executive Requests to our rent potential & average rate models: low confidence flags, rent projection bands, comparable properties (similarity & distance), and projected low and high daily rates. Also envisioned and implemented static prediction model tracking.Guest lectured for Boise State University's Algorithms of Machine Learning (CS- 334) on K-MeansAssisted in auditing Key Data.Applied H3 library to internal Vacasa use.Created internal API functions for Geocodio and Smarty.Created a new test group creation methodology for company rates model testing (two iterations).Created owner linkage using a combination of data cleaning and simple modeling.Maintained our personalized email campaigns.Created process for aggregating journaling entries for improved analytics.Reviewed Vacation rental density

Sep 2022 - Mar 2023

Data Scientist

Portland, Or, Us

Built a unit churn model for a goal of 1% annual portfolio churn reduction. Corresponded with machine learning engineers to turn it into production. Optimized nightly rates and OTA channel revenue through experimentationEngineered an experiment performance reporting dashboard in Dash that has been used for over 20 experiments.Innovated home and location-based test group selection for more applicable and valid results.Devised a new metric to compare vacation rental usage across the United States. Produced the dataset for the growth team comparable properties tool.Standardized one of our availability datasets using PySpark.Authored an EDA on vacation rental image artificial intelligence software which led us to pursue signing with the vendor.Coordinated with our Product team on evaluating the relevance of updating an operations model and applying NLP to guest messaging.

Apr 2021 - Sep 2022

Marketing Analyst

Portland, Or, Us

Optimized OTA channel revenue & merchandising analytics through experimentation- Assessed the long term value of several pricing revenue alternatives, including OTA differentiation.- Optimized Covid Policy messaging on Colorado Airbnb listings for a 9% reservation increase- Evaluated channel pricing and cancellation policy experiments that changed our cancellation policy on multiple OTAs. Created slide decks for executives.Increased the Vacasa brand and direct bookings- Crafted individualized email personalizations that have generated $3.6mill in post-open revenueImproved operational efficiency- Researched and presented on our portfolio analyst and rates model interaction to optimize company revenue and team effeciency- Created a Vrbo subscription type algorithm for an annual savings of $4millImproved the data accessibility for the guest marketing team (channels, photography, reservation sales):- Created Looker BI dashboards for increased managerial oversight into team performance.- Built the reservation sales phone call and email revenue attribution reporting- Wrote a beginner SQL (Redshift) curriculum and taught materials to 40 people, including those in director-level roles- Attended Looker Join 2019 to expand my data visualization skills

Nov 2019 - Apr 2021

Junior Marketing Analyst

Portland, Or, Us

Collaborated with team managers to implement new data tracking procedures within our maintenance ticket system. Built Looker Dashboards & automated reporting to improve our 3rd party channel distribution time and time for photography.Wrote & taught several month-long SQL curricula (Redshift) for 30 people, including for director-level positions.

Jan 2019 - Nov 2019

Channel Listing Specialist

Portland, Or, Us

Coordinated 3rd party marketing channels for 50 acquired property management companies, which have generated 70-million in 3rd party channel revenue to date.Wrote SQL scripts to automate the content auditing process for new homes.

Jun 2018 - Jan 2019

Channel Listing Intern

Portland, Or, Us

Feb 2018 - Jun 2018

Guest Teacher

Kent, Wa, Us

Inspired learning from preschool through Advanced Placement students, with an extended position at elementary ELL.Followed procedures, improvised ideas & recorded performance in a daily changing classroom environment. Maintained class safety, and taught social norms using a variety of teaching methods & technology types.

Sep 2017 - Feb 2018

City Year Member

Us

Accepted into Americorps program (25% acceptance rate) to dedicate one intensive year of service towards improving school wide attendance, math & literacy performance and decreasing behavioral issues at Valverde Elementary School.Accelerated student math and literacy proficiency for a student focus list:- Led five small groups, supplementary one-on-one interventions, and provided whole class support.- Formulated intervention curriculum based on quantitative student progress data, including MI testing and iStation. - My five end of year math focus list students demonstrated at least one year of growth.Elected to serve as Mathematics Coordinator:- Increased math homework completion for 42 students with Pi Day event. - Coordinated donations, activities and staff.

Jul 2016 - Jun 2017

Communications Intern Ii- Web & New Media

Colorado Springs, Co, Us

Enhanced the Colorado College website through Google Analytics projects and trainings:- Implemented 30 inner-site search drop down option updates to improve site accessibility based on user traffic history. - In collaboration with the Summer Music Festival department, identified their traffic sources for outreach effectiveness.- Created documentation on aggregate user segmentation and relevant news article metrics.Provided additional social media research, system configuration, front-end web development and UI-UX testing.

Sep 2014 - May 2015

Economic Research Assistant

Colorado Springs, Co, Us

Generated Excel Pivot Tables to evaluate data trends for 1887 textile employment records.Organized and transcribed thousands of employment records in Excel for Professor Esther Redmond's labor research.

May 2013 - Aug 2013

Social Media Assistant

Reber Ranch

Integrated online and in-store marketing:- Engaged online users with a summer pet photo contest generating over 250 online and in-store entries.- Initiated a high school writing scholarship contest with entries from two local school districts. Expanded the online Reber Ranch brand:- Grew the Facebook page 33% to over 4,000 fans through post content analysis.- Increased mobile and desktop web traffic through updated content and Google Analytics results.

Jun 2012 - Apr 2013

Marketing Intern

As a marketing intern both both ski brands, I managed social media, created and procured online content, assisted with newsletters, blog posts and other promotional pieces to retain skiing interest during the off season. My first wordpress web platform experience, I assisted with updating their website for the following year’s products. I repaired skis and boots, organized the marketing product area, and shipped product to athletes and organizations.

May 2012 - Aug 2012

Ceo

Will'S Waxing Empire

My first entrepreneurial foray, I founded Will’s Waxing Empire, a skier and snowboarder seasonal on-campus waxing enterprise. Even with the lackluster Colorado winters, the second season saw many repeat customers.

Oct 2011 - Mar 2012

Lifeguard And Swim Lesson Instructor

Kent Meridian Pool

I worked several years as a lifeguard and swim lesson instructor, learning about lesson instruction, public safety and customer service.

Oct 2008 - Aug 2011
2 education records

Will Richmond education

Bachelor'S Degree, Mathematical Economics

Colorado College

Education record

Kentwood High School
FAQ

Frequently asked questions about Will Richmond

Quick answers generated from the profile data available on this page.

What company does Will Richmond work for?

Will Richmond works for Base Operations.

What is Will Richmond's role at Base Operations?

Will Richmond is listed as Lead Data Analyst at Base Operations at Base Operations.

What is Will Richmond's email address?

AeroLeads has found 2 work email signals at @vacasa.com for Will Richmond at Base Operations.

Where is Will Richmond based?

Will Richmond is based in Boise, Idaho, United States while working with Base Operations.

What companies has Will Richmond worked for?

Will Richmond has worked for Base Operations, Vacasa, Kent School District, Americorps, and Colorado College.

How can I contact Will Richmond?

You can use AeroLeads to view verified contact signals for Will Richmond at Base Operations, including work email, phone, and LinkedIn data when available.

What schools did Will Richmond attend?

Will Richmond holds Bachelor'S Degree, Mathematical Economics from Colorado College.

What skills is Will Richmond known for?

Will Richmond is listed with skills including Web Design, Social Media Marketing, Start Ups, Data Analysis, Front End Development, Uix, Data Entry, and Downhill Skiing.

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