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Jose Limon

Jose Limon

San Jose,CA

Work Preference

Work Type

Full TimePart TimeContract WorkGig Work

Location Preference

On-SiteRemoteHybrid

Important To Me

Work from home optionWork-life balancePaid time offFlexible work hoursHealthcare benefitsCareer advancementPaid sick leave

Summary

Data Analyst with 7 years of leadership experience across diverse industries. Expertise in data mining and statistical analysis, driving operational improvements through automation. Proven problem-solving skills with a track record of enhancing processes and efficiency.

Overview

7
7
years of professional experience
1
1
Certificate

Work History

3D Data Standards Manager

Magnit at Apple
Sunnyvale, California
07.2024 - 06.2025
  • Evaluated asset viability, optimizing project scope, and data infrastructure.
  • Pioneered automated classification protocols for 3D assets, streamlining retrieval processes, and enabling real-time access across multiple project platforms.
  • Developed standardized documentation for 3D asset management, establishing clear guidelines for quality control and version management across enterprise projects.
  • Orchestrated cross-functional knowledge transfer initiatives, elevating team proficiency in 3D data handling, and promoting best practices adoption.
  • Spearheaded asset optimization strategies, implementing efficient data infrastructure solutions while maintaining high-quality 3D model standards.
  • Implemented advanced metadata tagging systems for 3D asset collections, resulting in 30% faster asset discovery and improved cross-project utilization.

Business Data Analyst

Axlehire
San Leandro, CA
03.2023 - 07.2024
  • Administered seven routine reports on volume and revenue forecasts, applicant planning, and driver retention.
  • Collaborated weekly with stakeholders, including executives, to oversee and refresh OKRs.
  • Developed presentation slides for Executive OKR meetings, detailing driver wait times and shipping capacity utilization.
  • Optimized owned reports to improve load time and enhance work efficiency.
  • Orchestrated Applicants Planning and Driver Recruitment reports, conducting weekly stakeholder meetings to maintain driver pool slots within budget.
  • Restructured Applicants Planning report, reducing processing time from four hours to 90 minutes.
  • Streamlined All Delivery report for Customer Success team, saving five hours weekly across the team.
  • Established quarterly Forecast file for accurate shipment projections, supporting operational planning.

Data Engineer

Fabric Living
San Francisco, CA
02.2022 - 12.2022
  • Designed and refined data structures to optimize the performance of Fabric Living's database, minimizing instances of duplicate entries.
  • Developed and enhanced internal tools and data storage systems, contributing to the establishment of an industry-leading residential real estate database.
  • Collaborated with cross-functional teams to ensure seamless integration of new data sources and tools, fostering a more cohesive and efficient database management process.
  • Conducted regular assessments of data quality and integrity, implementing corrective measures to maintain the highest level of data accuracy.
  • Utilized Retool, REST API, and JavaScript to construct efficient tools for querying property data within Fabric Living's current database, achieving a completion rate of over 90% for existing records.
  • Successfully identified and implemented new tools and data sources aligned with budget constraints and operational needs, resulting in monthly cost reductions exceeding $800.
  • Utilized Amazon RDS to establish connectivity to a Postgres database, concurrently designing the data model required for the business; crafted essential schemas and tables, and seamlessly migrated existing data into the new Postgres database.
  • Developed a custom tool on Retool by leveraging custom JavaScript snippets and existing REST API modules enabling the querying of databroker using property parcel numbers, retrieving comprehensive data such as evaluations, property details, ownership information, and more, subsequently importing it into the newly established database.
  • Attained nearly 90% completion of data attributes for properties already present in Fabric Living's prior database and equipped new properties with the requisite attributes by leveraging the new tools developed.
  • Employed Amazon Web Services' S3 service to import property images for Fabric Living and utilized Retool to seamlessly retrieve and display data from S3, with plans to further build Fabric Living's entire tech stack on Amazon Web Services.

Geographic Information Systems Analyst

Apple
Sunnyvale, CA
07.2021 - 02.2022
  • Ensured meticulous ingestion and validation of high-quality data spanning across 73 countries, playing a pivotal role in maintaining the seamless operation of Apple Maps.
  • Reviewed and edited data to rectify critical issues, preempting significant disruptions within the map application.
  • Executed comprehensive validation procedures for ingested data, leveraging command-line operations, Postgres SQL, Jenkins, and Apple's proprietary software for data cleaning, editing, and patching.
  • Provided steadfast support and promptly addressed concerns raised by new team members, while concurrently mentoring and effectively guiding new analysts in navigating team processes specific to their respective territories.
  • Spearheaded the creation of High Profile Item reference lists to facilitate the validation of ingested data and the harmonization of production and vendor data.
  • Managed the seamless transition of Apple-owned assets into the data ecosystem for accurate integration.
  • Innovated and refined the process for generating high-quality reference lists, significantly reducing the time required from three days to less than a single day, thereby enhancing operational efficiency.

Business Analyst

Accenture
San Jose, CA
10.2020 - 07.2021
  • Produced over 15 comprehensive business requirement documents tailored to clients' monthly reporting dashboards, encompassing detailed metric and KPI breakdowns, user-friendly definitions, and precise calculation methodologies.
  • Assumed responsibility for the publication and management of weekly status deck and the monthly intake dashboard, involving providing status updates on all features, maintaining a backlog of future projects, and offering a comprehensive breakdown of identified defects and issues encountered during client data pipeline projects.
  • Liaised with clients to ensure alignment with evolving reporting needs and proactively adjusted documentation and reporting processes accordingly.
  • Contributed to the development and enhancement of data governance and data quality standards, ensuring the reliability and consistency of reporting data.
  • Implemented an efficient intake process for reporting new feature requests and defects, significantly reducing the resolution time for tickets and offering stakeholders an end-to-end view of all related activities.
  • Successfully optimized more than 20 distinct customer queries within Data Studio, resulting in a remarkable 50% reduction in data extraction time for monthly reports.
  • Collaborated closely with cross-functional teams to ensure seamless integration of new features and resolutions into reporting dashboards, enhancing overall data reporting accuracy and efficiency.

Product Support Intern

Fleet Up
San Jose, CA
04.2019 - 05.2020
  • Played a pivotal role in the development, execution, and seamless integration of various products and projects by proficiently managing and analyzing data and IT services.
  • Formulated comprehensive documents for presentations, product development, and market trend analysis, providing valuable insights into devices, components, and tools.
  • Identified the root causes of failures by implementing rigorous tests and meticulously documenting the entire process, disseminating insights across the organization.
  • Empowered clients to track and mitigate fuel wastage by creating Excel-based reports, facilitating informed decision-making and resource optimization.
  • Achieved a notable 50% reduction in customer support cases by uncovering a critical firmware vulnerability through the collection and analysis of data from eight quality assurance tests.
  • Enhanced operational efficiency by reducing the downtime required for bug fixes by 25%, achieved through the effective management of deployment scripts for new feature rollouts, platform patches, and firmware updates.
  • Developed a suite of diverse tests utilizing an updated firmware script to pinpoint critical issues, contributing to enhanced product reliability.
  • Developed a Python script to automate the generation of the Fuel Waste report, significantly reducing the initial time investment from six hours to one hour while minimizing manual steps and reducing the risk of errors.
  • Restructured Fleet Up's main office by creating a comprehensive document serving as an asset inventory and an office item management system leading to the clearance of several cubicles to be used for productive work.
  • Conducted data collection and testing to optimize Fleet Up's hard braking alert feature, determining the exact force threshold for triggering alerts, and aligning with passenger seat belt engagement.
  • Performed extensive testing to identify and resolve a critical issue within Fleet Up's Firmware Over The Air (FOTA) protocol, resulting in a 70% reduction in daily customer support tickets.

Strategic Insights Intern

Oath
Sunnyvale, CA
08.2018 - 01.2019
  • Conducted in-depth data assessments to provide actionable insights on various topics, such as retention rates, empowering leadership to make informed decisions driving large-scale initiatives.
  • Established a centralized information repository for primary enterprise platforms, encompassing documents, data dictionaries, and flowcharts that comprehensively covered available data and resources.
  • Undertook weekly maintenance of dashboards to ensure stakeholders had real-time visualization of goal progress and performance.
  • Implemented automation for the generation of monthly reports and executed optimizations on multiple dashboards within Google Sheets, resulting in a substantial 90% reduction in load times.
  • Alleviated the workload of the demand strategy team by developing a Python script that automated the data extraction process, improving efficiency and accuracy.
  • Elevated dashboard accessibility and loading speed by optimizing calculations and data loading processes for four key dashboards, enhancing the overall user experience and data retrieval efficiency.
  • Established a centralized information hub for primary enterprise platforms, housing documents, data dictionaries, and flowcharts for all available data and resources.
  • Collaborated on a 'customer stickiness' report, featured in the 'Eldad Report' by Rob Walker, Director of Business Analytics at Yahoo, analyzing customer tenure and expansion.
  • Optimized the weekly new customer revenue report with complex Excel formulas, reducing processing time from two hours to 30 minutes.
  • Enhanced dashboard performance by refining SQL queries, data cleaning in Google Sheets, and using filters and data validation, reducing load time to milliseconds without compromising accuracy.

Education

Bachelor of Science - Data Analytics

Year Up
San Jose

Bachelor of Science - Computer Science

Cogswell Polytechnical College
Sunnyvale, CA

Skills

  • Data analysis and reporting
  • Process automation
  • Project management
  • Quality assurance
  • Dashboard visualization
  • Market trend analysis
  • Stakeholder communication
  • Cross-functional collaboration
  • Customer support
  • Database management (MySQL, PostgreSQL)
  • Programming languages (Python, R)
  • Microsoft Office Suite proficiency
  • Data tools (Tableau, Power BI)
  • Cloud platforms (AWS, Google Cloud)
  • Statistical modeling
  • Business intelligence
  • Data cleaning
  • Report generation
  • Big data analytics
  • Advanced Excel skills
  • Problem solving
  • Time series analysis
  • Predictive modeling
  • KPI tracking

Certification

Google Data Analytics Professional Certificate

Languages

English
Proficient (C2)
C2
Spanish
Proficient (C2)
C2

Accomplishments

  • Winner of Year Up's Data Wizard award
  • Winner of Year Up's Case Study competition
  • Published in Oath's Eldad Reports

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline

3D Data Standards Manager

Magnit at Apple
07.2024 - 06.2025

Business Data Analyst

Axlehire
03.2023 - 07.2024

Data Engineer

Fabric Living
02.2022 - 12.2022

Geographic Information Systems Analyst

Apple
07.2021 - 02.2022

Business Analyst

Accenture
10.2020 - 07.2021

Product Support Intern

Fleet Up
04.2019 - 05.2020

Strategic Insights Intern

Oath
08.2018 - 01.2019

Bachelor of Science - Data Analytics

Year Up

Bachelor of Science - Computer Science

Cogswell Polytechnical College

References

References available upon request.

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