J

Joshua L.

Product Manager

Redmond, Washington, United States17 yrs 3 mos experience
Highly Stable

Key Highlights

  • Expert in data-driven product management.
  • Proven track record in pricing optimization.
  • Strong background in marketing analytics and attribution.
Stackforce AI infers this person is a Data-Driven Product Manager with expertise in E-commerce and Marketing Analytics.

Contact

Skills

Other Skills

SQLStataRData AnalysisStatistical ModelingSAS programmingStatisticsMicrosoft ExcelTableauGoogle AnalyticsMySQLPostgreSQLTransact-SQL (T-SQL)Google AdwordsMarketing Analytics

Experience

17 yrs 3 mos
Total Experience
2 yrs 5 mos
Average Tenure
1 yr
Current Experience

Amazon

Principal Product Manager - Project Kuiper

Jun 2025Present · 1 yr · Redmond, Washington, United States

Meta

Data Scientist

Apr 2020Apr 2025 · 5 yrs · Nashville Metropolitan Area · Remote

  • Instagram Youth Protection. May 2024 - Apr 2025
  • Central Social Impact - Youth Well-being. October 2021 - May 2024
  • Creator monetization, creator incentives platform, and video monetization. April 2020 - October 2021

Walmart ecommerce

Senior Product Manager Analytics

May 2019Apr 2020 · 11 mos · Greater San Diego Area

  • • A lead in product analytics on online grocery delivery, subscription, membership, and fulfillment. Acting as an analytics lead across online grocery

Blindsgalore.com

Head Of Analytics - Data Scientist

Feb 2018May 2019 · 1 yr 3 mos · Greater San Diego Area

  • Forecasting and leading discussions of annual and quarterly financial plans and budgets.
  • Executive team member participating in organizational goals setting, project planning and strategic
  • decision making.
  • Project mang. - leading company-wide quarterly initiatives from ideation, to planning, and execution
  • Multi-touch marketing attribution model
  • o Designing, building, and implementing
  • o Getting organizational buy-in to move to using one single source of revenue, conversion and
  • ROAS/ROI truth.
  • o Implementing reporting of attributed revenue, conversions, ROAS, CPA’s, contributing margin,
  • and max bid targets for marketing to use in optimizing bids and spend within channels and across
  • channels.
  • o Attribution ROAS driven bids and channel spend has resulted in higher ROAS on higher ad-spend when comparing the 12-months after
  • implementation when compared to the same 12-months YoY.
  • Pricing optimization
  • o Developing pricing testing and strategy roadmap.
  • o Overhauling pricing with-in 4 weeks of starting in the position which resulted in changing of
  • prices on 78% of the products (500 SKU’s). The pricing overhaul resulted in a 9-percentage point
  • improvement in the year-over-year revenue growth trend.
  • o Ongoing price-elasticity modeling and optimization
  • Own and lead all website, marketing, mass-media, promotional, merchandising, and operations testing (a/b test and multi-cell tests). Including in-taking test proposals, prioritizing tests, recommending test- design, setting test duration and measurable outcomes, providing test analytics, and recommending strategy based off insights from test analysis.
  • Data science modeling including repeat prediction model, boosted decision trees, used for targeting emails and direct mail initiatives.

Redfin

Data Scientist - Marketing and Web Analytics

Apr 2017Mar 2018 · 11 mos · Greater Seattle Area

  • Automate analytics and reporting using AWS Redshift, R, Python, and Tableau in support of Direct Mail, Email Marketing, In-person Events, Loyalty, PPC, and Paid Social.
  • Support Marketing attribution modeling
  • o Through model improvement by updating touchpoint type and touchpoint order weighting using
  • scaled-coefficients from quasi-experimental estimation
  • o Updating forecasting methodology by building-in automatic adjusting of click-to-contact and
  • contact-to-close distributions, which improved forecast mean-percent-error by 50% (3 percentage
  • points)
  • o Broadening the marketing touchpoints flowing into the multi-touch attribution model.
  • Independently identifying the opportunity for and value in relocation specific product. I developed a model, gradient boosting decision trees, from user browsing behavior to identify users that were moving. This model was automated to run in a chron job and write a table deliver users daily.

Glimpse live, llc

Market Research and Statistical Analysis

Sep 2016May 2019 · 2 yrs 8 mos

  • Designing research methodologies and discussing the benefits of different analysis options with clients
  • Drafting research proposals to submit to clients, executing statistical analysis, creating reports and
  • presenting to clients
  • Developing new market research product offerings, moving from ideation stage, to planning
  • labor/resource inputs for development and execution, to product delivery format and timetables.
  • Providing guidance on product and research proposal pricing.

Jack in the box

3 roles

Lead Analyst - Marketing Analytics

Jun 2016Apr 2017 · 10 mos · Greater San Diego Area

  • Customer level research through modeling transaction level customer data
  • Interviewing candidates, onboarding and training new analytics hires, holding weekly team meetings with analyst/sr. analysts, and leading analytics review sessions with the analysts/sr. analysts to secure analytics
  • team alignment on the results, interpretation, and strategic insights before communicating analysis across
  • the organization.
  • Drove brand & marketing calendar strategy with analytics (e.g. Customer price-elasticity study generating
  • insights used to determine the value promotion by market in the next window).
  • Econometric modeling to optimize couponing strategy (price elasticity and price optimization). Used the
  • learnings from the analysis to oversee the implementation of a 4,000,000-coupon mailer test to 9 cities
  • with 200+ restaurants.
  • Test Design, test analysis and recommendations for marketing promotions and operational initiatives.
  • Restaurant level Sales Forecasting presenting to C-level executives for sales guidance on earnings calls.
  • Business Data Analyst, 2016
  • Operations initiative deep dive that resulted in brand-wide initiatives and brand standards audit.
  • Matching voice of the customer surveys to transaction level data, and using quasi-experimental methods to estimate the impact of various service and product related events. These estimates influenced the brand standards, refranchising scorecards and the VOC survey.
  • Modeled Consumer Behavior via Logistic, Multivariate Linear and Negative Binomial Regressions,
  • Recursive Partitioning, Gradient Boosting, etc..
  • Forecasting restaurant level sales, food costs, and labor costs for FP&A teams use in budget planning
  • Consumer Insights, 2015 - 2016
  • Quantitative and Qualitative research in support of the new product development (NPD) process
  • Use of internal transaction level data to segment/profile customers and perform analysis of customer
  • behavioral responses to promotions and initiatives

Business Data Analyst - Operations Analytics

Jan 2016Jun 2016 · 5 mos · Greater San Diego Area

Intern - Consumer Insights

Sep 2015Jan 2016 · 4 mos · Greater San Diego Area

National center for policy analysis

Research Fellow

Jun 2015Aug 2015 · 2 mos · Dallas/Fort Worth Area

San diego state university

Graduate Research Assistant - Applied Economics

Aug 2014Jan 2016 · 1 yr 5 mos · Greater San Diego Area

All american pool installation corp.

Service Manager : Maintenance and Construction

Jan 2009Aug 2014 · 5 yrs 7 mos

Education

San Diego State University

Master’s Degree — Applied Microeconomics

Jan 2014Jan 2016

Northern Illinois University

Bachelor of Science (BS) — Economics

Jan 2012Jan 2014

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