Live opening · Posted 3 days ago
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About the role
Description supplied by the original job listing.
Location: Varanasi, Uttar Pradesh
Work Mode: Onsite
Experience: 1–3 Years
Company: EZData Advisory
About the Role
EZData Advisory is looking for a Data Analyst with 1–3 years of experience who is passionate about working with data, solving business problems, and building insightful dashboards and reports.
The ideal candidate should have strong SQL skills, experience with BI tools such as Power BI or Tableau, and the ability to translate business requirements into meaningful analytics solutions.
You will work closely with business users, analysts, and data engineers to deliver reporting, dashboards, KPI tracking, and data-driven insights.
Key Responsibilities
Build and maintain dashboards and reports using Power BI and Tableau
Write SQL queries for data extraction, validation, and analysis
Analyze business data to identify trends, opportunities, and insights
Gather and understand reporting requirements from stakeholders
Develop and track KPIs and business metrics
Perform data validation and quality checks
Create ad-hoc reports and analyses to support business decisions
Document business logic, metrics, and reporting definitions
Collaborate with data engineering and analytics teams
Present findings and recommendations to stakeholders
Required Skills
1–3 years of experience in Data Analytics or Business Intelligence
Strong SQL skills
Hands-on experience with Power BI and/or Tableau
Strong analytical and problem-solving abilities
Experience working with large datasets
Good understanding of reporting, KPIs, and business metrics
Advanced Microsoft Excel skills
Strong communication and stakeholder management skills
Preferred Skills
Experience with Looker
Basic Python knowledge for data analysis
Exposure to cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift
Understanding of data modeling concepts
Experience working in consulting or client-facing environments
What We Offer
Opportunity to work on international analytics and BI projects
Exposure to modern data platforms and cloud technologies
Fast-paced learning environment with significant growth opportunities
Direct mentorship from experienced Data and Analytics professionals
Career path into Analytics Engineering, BI Engineering, and Data Engineering
Work arrangement
No
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