Data Analyst

Vame is a growing outsourcing company specializing in providing Virtual Assistant services tailored specifically for the e-commerce industry. Our mission is to empower e-commerce businesses by providing top-notch candidates that streamlines operations, enhances customer experience, and drives growth.

At Vame, we are committed to assist e-commerce businesses by taking care of the day-to-day operations, allowing the company to focus on innovation. Let us be your trusted partner in success.
• Develop, maintain, and automate reports and dashboards using Google Sheets.

• Utilize a wide range of formulas and functions, from simple to complex, including vlookup, index match, importrange, if functions, nested if, nested query, and nested arrays

• Write and implement Google App Scripts for data automation, including data entry, data transfer between sheets, connecting various spreadsheets, and scheduling automated tasks.

• Create and manage data visualizations using Google Data Studio and Looker.

• Connect and integrate api endpoints with Google Sheets or other applications to facilitate data flow and reporting.

• Analyze data sets to identify trends, patterns, and insights that can inform business decisions.

• Collaborate with various departments to understand their data needs and provide tailored solutions.

• Ensure data accuracy, integrity, and security across all reports and dashboards.
• A minimum of 4 years of experience working with spreadsheet applications, including Google Sheets.

• Proven experience in creating automated reports and dashboards.

• Extensive knowledge of advanced spreadsheet formulas and functions.

• At least 2 years of experience with Google App Scripts for automation purposes.

• Proficiency in Google Data Studio and Looker for data visualization.

• Experience with REST APIs, including connecting API endpoints to Google Sheets or other applications.

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Detail-oriented with a strong focus on data accuracy and quality.

• Experience with other data visualization tools and platforms.

• Knowledge of SQL and database management.

• Experience in a similar industry or business sector.