Daniel Castro

Data Analyst @Brighton Collectibles

Los Angeles, CA, US
MOBILE NUMBERS
+13•••••••20

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WORK HISTORY

Feb 2025 — Present

Data Analyst @Brighton Collectibles

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Los Angeles, CA, US

Owned analytics and reporting supporting executive and operational decision-making across operations and customer experience.Built and maintained production dashboards and reporting in Metabase on Snowflake data models, surfacing core performance metrics across retail and operations.Led analysis on order fulfillment and customer service performance, including cancellations, time to cancellation, and reorder behavior, informing improvements to service quality and retention.Designed scalable datasets and automated reporting pipelines to improve data accuracy, reliability, and stakeholder access.Translated complex operational and customer data into clear, actionable insights to support faster, more informed decisions.

EDUCATION

2022 — 2022

DataCamp

Tableau Fundamentals

2017 — 2018

University of Washington

Bachelor of Arts - BA

2016 — 2017

North Seattle College

Associate of Arts - AA

2019 — 2019

University of Washington

Certificate

ABOUT DANIEL CASTRO

Senior Data and Business Intelligence Analyst with 5 years of experience delivering reliable analytics and reporting across fast-paced, data driven organizations. I specialize in turning complex data into clear, decision ready insights that support executive and operational teams.I have owned analytics end to end from data modeling and pipeline design to dashboards, metric definition, and ongoing data quality validation. My work has supported subscription, payments, operational, and business performance analytics across multiple stakeholder groups.Most recently at Brighton, I led major reporting and data platform initiatives, including rebuilding core datasets and workflows that power company wide analysis and campaign performance measurement. Previously at Savage X Fenty, I built and maintained executive level Tableau dashboards used across Retail, Consumer Insights, and Merchandising.I’m known for strong attention to detail, fast execution, and the ability to work across analytics, engineering, and business teams to ensure data is accurate, trusted, and actionable.

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