Data Entry/ Analyst/ Visualization Expert

Overview

Looking for part-time work (4 hours/day)

at $5.00/hour ($440.00/month)

Bachelors degree

Last Active

February 27th, 2025 (2 days ago)

Member Since

June 18th, 2016

Profile Description

Diligent and detail-oriented Data Entry/Analyst/Visualization Expert with a strong command of Microsoft Excel, Power BI, and foundational skills in SQL. Known for maintaining accuracy and efficiency in data entry tasks, while leveraging analytical capabilities to transform raw data into insightful visualizations. Proficient in handling complex datasets, cleaning and organizing information, and employing visualization tools to present data-driven insights.
Key Skills:
Microsoft Excel: Proficient in utilizing Excel for data entry, manipulation, and analysis. Skilled in creating spreadsheets, performing calculations, and employing advanced functions to streamline data processes.
Power BI: Experienced in data visualization and analytics using Power Upgrade to see actual infopable of creating interactive visual reports and dashboards, translating data into compelling, easy-to-understand visual representations.
Basic SQL Skills: Possesses a foundational understanding of SQL, enabling data retrieval, manipulation, and basic database management. Able to execute queries and perform data filtering for analysis.
Others: Adaptable in handling different tools especially CRM such as Zendesk, etc.

Professional Attributes:
Meticulous Data Entry: Ensures accuracy and precision in inputting and managing large volumes of data, maintaining consistency and reliability.
Analytical Insight: Applies analytical skills to interpret data, recognize patterns, and derive meaningful conclusions for decision-making.
Visualization Expertise: Proficient in translating complex data sets into intuitive and compelling visual representations, aiding in clearer understanding and effective communication.
Efficiency and Organization: Executes tasks with a focus on efficiency, employing structured methodologies for data organization and management.
Problem-Solving: Capable of identifying discrepancies or irregularities within datasets, addressing challenges through a systematic and analytical approach.