Job Location : PAN India

Job mode : Hybrid

Duration of Contract - 12 months.

Immediate to 15 days Joiners preferrred.

Resource should know :-

Responsibilities

• Develop and maintain comprehensive data dashboards using tools like Google Analytics and Adobe Analytics.
• Analyze complex data sets to provide actionable insights to the business team.
• Present data findings and insights to Business Managers and other key stakeholders in a clear and concise manner.
• Ensure the accuracy, integrity, and security of data across all platforms.
• Collaborate with IT and other departments to enhance and streamline data processes.
• Manage data storage solutions and maintain database systems.
• Monitor and analyze information and data systems, troubleshoot data-related issues, and ensure data security and integrity.
• Stay updated with the latest trends and best practices in data analysis and visualization.
• Creating and sharing the GA reports with client
  
  

Requirements

• Senior Data Analyst Engineer with more than 5+ years of experience in data analysis and dashboard creation.
• Proficiency in data analysis tools and software, in tools like Google Analytics, Google Tag Manager,
• Lookers Studio and Adobe Analytics.
• Leading projects, prioritizing tasks and providing inputs to the technical implementation team according to the Google developer tools suggested.
• Configure, setup and edit Google analytics accounts and properties. Same for Google Tag Manager
• Strong analytical skills with the ability to interpret and visualize complex data sets.
• Excellent communication and presentation skills, with the ability to convey data insights to non-technical stakeholders.
• Ability to work collaboratively with cross-functional teams and manage multiple projects simultaneously.
• Strong attention to detail and problem-solving skills.
• Creating the KPI's and analyzing the data on monthly basis.
• Knowledge of SQL and experience with database management is a plus.
• Familiarity with data visualization tools such as Tableau or Power BI is preferred.