Company Overview

Gamut HR Solutions helps you find the right kind of job! Based in Hyderabad and with a small but dynamic team of 2-10 employees, Gamut HR Solutions is committed to matching the right talent with the right opportunities. For more details, visit our website.

Job Overview

We are seeking a Senior Data Analyst with expertise in Appscript for our Hyderabad location. This full-time position requires a professional with 7 to 10 years of experience. The ideal candidate will have strong data analysis skills and the ability to work effectively within our team.

Qualifications and Skills

• Proven experience of 7 to 10 years in data analysis with a solid track record of leveraging data to drive business decisions.
• Advanced proficiency in Appscript (Mandatory skill) for automating tasks and handling data within Google Workspace.
• Expertise in SQL (Mandatory skill) for database management, querying, and data manipulation.
• Strong knowledge of Python for data analysis and automation tasks.
• Competence in data visualization tools and techniques to present analytical findings clearly.
• Experience in statistical analysis, applying statistical techniques to identify trends and inform decision-making.
• Expert in data cleaning, ensuring the accuracy and reliability of data used for analysis.
• Excellent problem-solving abilities to identify issues and provide actionable solutions.

Roles and Responsibilities

• Analyze complex datasets to extract actionable insights that will inform business strategies and decisions.
• Develop and automate processes using Appscript to optimize workflows and reporting within the organization.
• Create and maintain SQL queries to manage and manipulate data effectively.
• Collaborate with cross-functional teams to understand data requirements and deliver accurate solutions.
• Utilize Python for advanced data analysis and automation of repetitive tasks.
• Produce detailed and visually appealing reports to communicate findings to stakeholders.
• Perform statistical analysis to identify trends and patterns in data.
• Ensure data quality and integrity through thorough data cleaning and validation practices.
• Troubleshoot and resolve data issues, continually seeking ways to improve data processes and systems.