Posted:1 week ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About The Opportunity

Join a dynamic leader in the education sector that leverages advanced data analytics to drive institutional excellence. Operating in a technology-driven environment, this high-growth organization empowers its teams with a comprehensive data strategy. As a critical part of the on-site team based in India, you will help transform data into actionable insights that support strategic decision-making.Role & Responsibilities
  • Develop, optimize, and maintain complex SQL queries to support data extraction and reporting.
  • Analyze large datasets to identify trends, correlations, and actionable insights to drive business decisions.
  • Design and implement data models and warehousing solutions to improve reporting accuracy and performance.
  • Collaborate with cross-functional teams to understand data requirements and translate business needs into technical solutions.
  • Create and maintain dashboards and visual reports to present insights to stakeholders.
  • Ensure data integrity and implement best practices for data cleaning and transformation.

Skills & Qualifications

  • Must-Have: Proficiency in SQL with proven experience in writing efficient queries and managing large datasets.
  • Must-Have: 1-3 years of hands-on experience in data analysis and developing data models in a high-paced environment.
  • Must-Have: Strong analytical skills
Benefits & Culture Highlights
  • Work in a collaborative and innovative on-site environment with opportunities for professional growth.
  • Be part of a mission-driven team that values data-driven insights and continuous learning.
  • Health Insurance
  • Provident Fund
If you are a detail-oriented SQL Data Analyst ready to leverage your analytical expertise in a vibrant, on-site setting in India, we encourage you to apply and join our transformative team.
Skills: data analysis,sql,data warehousing,analytical skills,reporting,data cleaning,data visualization,data modeling

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