Senior Data Analyst – Visualization & Data Engineering

Vrinda International; Pune District; On-site; INR 2,000,000 - 3,600,000; Full time

Job summary

Vrinda International seeks a Senior Data Analyst – Visualization & Data Engineering in Pune with 7–10 years of experience. You will lead data visualization efforts using Power BI/Tableau, build and optimize data pipelines, and collaborate with stakeholders to deliver BI solutions across enterprise data warehouses.

The role requires strong SQL, Python/R, and cloud platform experience (Azure/AWS/GCP). You will be instrumental in data governance, quality, and automation initiatives, shaping

Qualifications

• Strong data visualization skills using Power BI or Tableau and BI tools.
• Hands-on data engineering experience including ETL and data pipelines.
• Strong SQL skills with data modeling and database optimization.
• Experience with large datasets and enterprise data warehouses.
• Python and/or R for data analysis and automation.
• Experience with cloud platforms (Azure, AWS, GCP).
• Knowledge of data quality, governance, and reporting best practices.
• Excellent analytical, problem-solving, and stakeholder management skills.

Skills

Python

SQL

ETL

Data modeling

Data governance

Stakeholder management

Analytical thinking

Big data

Tools

Power BI

Tableau

Azure

AWS

GCP

Job description

Senior Data Analyst – Visualization & Data Engineering

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Job Description

? Hiring Alert | Senior Data Analyst – Visualization & Data Engineering ?

? Location: Pune

? Role: Senior Data Analyst – Visualization & Data Engineering

? Experience: 7–10 Years

We are looking for an experienced Senior Data Analyst with expertise in data visualization, data engineering, analytics, and business intelligence solutions.

Requirements

• Strong experience in Data Visualization using Power BI, Tableau, or similar BI tools
• Hands-on experience in Data Engineering, ETL, and data pipeline development
• Strong SQL skills with experience in data modeling and database optimization
• Experience working with large datasets and enterprise data warehouses
• Knowledge of Python and/or R for data analysis and automation
• Experience with cloud-based data platforms such as Azure, AWS, or GCP
• Strong understanding of data quality, governance, and reporting best practices
• Excellent analytical, problem-solving, and stakeholder management skills