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Maria Camila Barona - Data Entry & Content Formatting Specialist

Location: Cali, Colombia

Compensation range discussed (USD): $1,000 - $1,300/month

LinkedIn Profile | email: camilabarona1@gmail.com | Phone: +57 323 516 6911

Schedule Availability (EST): 12:00 PM - 10:00 PM

Summary

Business Intelligence Analyst with a background in Systems Engineering and Software Developer with 4+ years of experience supporting US-based clients at Foundever , Insight Global and Sitel Group. She has managed complex operational records for accounts including Realtor, Yum Brands, and Cash App, successfully cleaning and migrating datasets—handling historical files with up to a million rows—from Excel into Microsoft Access and Salesforce. Her expertise centers on standardizing unstructured, messy data using advanced Excel tools like XLOOKUP, Power Query, and VBA. She translates refined datasets into polished presentations, KPI summaries, and interactive Tableau and Power BI dashboards for leadership. Proficient in adapting to internal CRM platforms, she combines meticulous data validation with a technical stack including Google Sheets, SQL, Canva, and PowerPoint to deliver flawlessly formatted content, bringing direct experience in the real estate sector, tracking metrics for property agents.

Meet Maria Camila

This video from our screening interview provides a look into Maria Camila's background and experience:

Candidate Snapshot

US-based Experience

• 4+ Years of US Market Support: Extensive experience as a Business Intelligence Analyst, Operations Analyst and Customer Service Specialist, directly supporting US-based clients across the BPO, food, customer support, and workforce management industries.

• Client Exposure: Exclusively managed operations, data analysis, dispute resolution, and operational reporting for major US accounts, including Yum Brands, Cash App, Affirm, ADP, and Realtor.

Large Datasets and Visual Documentation Formatting

• Visual Documentation: Highly proficient in translating clean data into polished, logical presentations. Consistently designed month-to-date KPI summaries and performance updates for leadership and clients using Canva and Microsoft PowerPoint, integrating pivot tables while unifying formatting to ensure an easy-to-read, professional structure.

• Large Dataset Management: Proven capability in handling massive historical datasets involving up to a million rows, continuously validating accurate formulas, data types, and formatting structures to ensure operational readiness and error-free reporting.

• Data Structuring & Cleaning: Expert in extracting and standardizing unstructured, messy data by identifying and resolving duplicates, missing information, inconsistent labels, and mismatched data types using Advanced Excel functionalities (XLOOKUP, MATCH, UNIQUE, Power Query, and VBA).

Data Entry Expertise & Software Development

• Operational Execution: Acted as a Data Entry & Operations Analyst at Insight Global for the Yum Brands account, managing tickets from US store locations and performing high-volume data entry to update digital menus, bundles, discounts, and item modifiers within internal platforms.

• Data Migration & Validation: Executed critical data validation and migration projects at Foundever, systematically transferring complex reporting workflows from flat Excel datasets into structured Microsoft Access and Salesforce environments for the Cash App and Affirm accounts.

• Software Development Background: Worked for nearly two years as a Software Developer at INFUVALLE S.A.S, building and maintaining web applications using PHP, CakePHP, and MySQL, with a focus on backend development, API integration, and database optimization.

Real Estate Background

• Real Estate Operations & Metric Tracking: Over two years of experience acting as a Real-Time Analyst (RTA) supporting the Realtor account at Foundever.

• Agent Performance & KPI Visibility: Familiar with some real estate workflows, specifically tracking operational KPIs and service metrics to ensure agents successfully managed client communications regarding buying, renting, and selling homes.

• Executive Reporting: Responsible for structuring month-to-date performance presentations in PowerPoint to communicate account health, operational issues, and target alignment to real estate clients and leadership.

Education

• Systems Engineering | Universidad Nacional Abierta y a Distancia (2024)
• Associate Degree in Software Analysis & Development | SENA (2025)
• Technical Program in Software Analysis & Development | SENA (2021)

Certifications

Tools used

• Data Management & CRM: Advanced Excel (Power Query, VBA, XLOOKUP, MATCH, UNIQUE), Google Sheets, Microsoft Access, Salesforce.
• Databases & Programming: SQL (PostgreSQL, MySQL), Python (Pandas), PHP.
• Reporting & Visuals: Tableau, Power BI, Canva, Microsoft PowerPoint.
• General Tools: Google Workspace, BSM systems.

Key Qualifications & Highlights

• Cross-Functional Technical Foundation: Blends hands-on operational data entry expertise with a formal background in Systems Engineering and Software Development. This technical capability enables the seamless extraction and standardization of unstructured data using SQL, Python (Pandas), and Excel VBA to structurally optimize repetitive data processing workflows.

• Real Estate Domain Knowledge & Metric Tracking: Brings direct experience acting as a Real-Time Analyst (RTA) for the Realtor account. Deeply familiar with real estate operational workflows—specifically tracking service metrics for agents assisting clients with buying, renting, or selling homes, aligning data output with the specialized needs of the PropTech sector.

• Stakeholder-Centric Presentation Formatting: Demonstrates a highly structured approach to building business presentations. Specializes in transforming raw dataset inputs into polished, high-visibility presentations for leadership, ensuring logical formats, unified visual consistency, and strict alignment with client targets using PowerPoint and Canva.

• Proactive Data Quality Assurance: Showcases a rigorous process for handling high-volume datasets (up to one million rows). Proactively catches subtle anomalies, mismatching data types, and structural errors early in the exploratory phase before migrating workflows into Salesforce and CRM platforms, guaranteeing flawless deliverables for high-stakes US clients.

Screening Interview - Key Observations

• Structured Approach to Presentations: Showcased a clear, analytical workflow for translating raw data into formatted visual documents. When building month-to-date PowerPoint presentations for the Realtor account, her step-by-step process begins with defining the exact goal and understanding client expectations. She then reviews the data to identify main operational issues—such as unmet targets—before integrating pivot tables and adjusting layouts into a logical, easy-to-read format.

• Proactive Preparation and Role Understanding: Independently researched the hiring company prior to the call, correctly identifying it as an AI startup focused on the real estate sector. Demonstrated a solid grasp of the position's requirements by explicitly noting the need for managing large datasets using Excel and Google Sheets, ensuring visual consistency, and operating with remote autonomy.

• Schedule and Contract Alignment: Confirmed complete availability for the requested 12:00 PM to 10:00 PM EST shift, stating previous experience working this exact schedule and describing herself as an "evening person." She also sought clarification on the contract duration, referencing a 12-month term she noticed during her research and drawing parallels to her past work at Yum Brands, responding favorably to the potential for an extension.

• Task Preferences & Data Organization: Expressed a strong personal passion for organizing structures, cleaning data, and leveraging analytical tools to communicate operational metrics. Thrives when standardizing messy data sets from the start, emphasizing a preference for identifying obvious errors—such as duplicates, missing information, and mismatching data types—early in the exploratory phase to prevent downstream issues.

• Independent Troubleshooting: Demonstrated autonomy and problem-solving skills when working with internal CRM platforms. Described a methodical approach to handling requests for legacy reports by independently exploring system dashboards, analyzing dropdown menus, and downloading historical files to verify their relevance before escalating questions to management.