Post Job Free
Sign in

Data Analytics Technical Support

Location:
San Jose, CA
Posted:
September 11, 2025

Contact this candidate

Resume:

Carlos Montes

San Jose, CA 408-***-**** ***********@*****.*** Linkedin

EDUCATION

San Jose State University, San Jose, CA December 2024 B.S. in Business Administration, Concentration in Management Information Systems COOP Careers – Data Analytics Fellow June 2025

● Engaged in a 16-week fellowship program, acquiring expertise in data cleaning, transformation, analysis, and visualization using SQL, Python, and Tableau, alongside continuous professional development

● Completed the Google Data Analytics Certification covering data cleaning, analysis, and visualization using SQL, Python, R, and Tableau

SKILLS

Technical Skills: Python (Pandas), SQL, R, Tableau, Power BI, Excel (Pivot Tables, VLOOKUP), Data Cleaning, Data Visualization Professional Skills: Analytical Thinking, Problem-Solving, Technical Support, Business Intelligence, Cross-functional Collaboration PROJECTS

COOP Careers – San Francisco Crime Rate Analysis (Python, SQL, Tableau)March 2025

● Used Python and SQL to clean, segment, and analyze crime data from SF Open Data between 2020 and 2023

● Built Tableau dashboards and heatmaps to visualize neighborhood-level crime spikes and time-based incident trends

● Presented insights and recommendations to support data-driven policy decisions around public safety, signage, and surveillance

San Jose State University – Creekside Trails AI (Python, Pandas, Excel)May 2024

● Developed a Python-based AI tool that integrates with OpenAI’s API to generate trail insights from a Santa Clara County trail database

● Built a Streamlit web app with location-based filtering for users to explore and summarize hiking trails across 10+ cities

● Applied concepts of sustainability, geolocation filtering, and user-focused design for educational trail exploration San Jose State University – Retail Sales & Customer Data Analysis (Python)December 2023

● Used Python and Pandas to clean and query datasets, then delivered actionable insights on customer segmentation and seasonal demand

● Analyzed over 500 rows of sales and customer data for an online office supply retailer to uncover trends in purchasing behavior and product performance

● Recommended new promotional strategies and product bundles to help increase B2B acquisition and streamline inventory management

EXPERIENCE

Demand Boost – Data & Marketing Operations Assistant June 2025 - Present

● Tracked and cleaned campaign data across 15+ client accounts using Excel and internal tools to improve reporting turnaround by 25%

● Collaborated with technical and marketing teams to clean and validate tracking data, reducing reporting errors and improving KPI visibility

● Created client-facing dashboards and reports summarizing SEO and paid media performance, supporting data-driven decision-making

24 Hour Fitness – Sales & Operations Analyst October 2024 - May 2025

● Developed Power BI dashboards tracking membership churn, pricing performance, and revenue KPIs, contributing to a 5% quarterly revenue increase

● Extracted and cleaned CRM data to uncover patterns in customer behavior, leading to a 15% boost in member engagement

● Worked cross-functionally with sales leadership to deliver actionable insights that improved pricing strategy and retention programs

Crocs – Retail Associate Data Support June 2019 - September 2024

● Analyzed daily sales and inventory trends using Excel to optimize product restocking and reduce excess inventory by 20%

● Maintained clean, accurate data records for product performance and sales KPIs, enabling better forecasting during seasonal peaks



Contact this candidate