Data Analyst

Pratiti Technologies Pvt. Ltd.; Maharashtra; On-site; INR 2,600,000 - 4,000,000; Full time

Job summary

Pratiti Technologies Pvt. Ltd. in Maharashtra seeks a senior data management professional to drive data quality, governance, and reporting initiatives across the organization.

You will build data pipelines, collaborate with cross-functional teams, and implement industry best practices while staying current with Azure Data Factory, Databricks, and BI tools.

Qualifications

• 5+ years of experience in data analysis or a closely related field.
• Strong knowledge of data modeling, warehousing, and ETL processes.
• Hands-on with Azure Data Factory and Azure Databricks.
• Familiarity with data governance and best practices.
• Proficiency in SQL and data querying.
• Experience with data visualization tools like Tableau or Power BI.

Responsibilities

• Collect and analyze data to identify trends and patterns.
• Develop and maintain databases and data systems.
• Ensure data accuracy, completeness, and security.
• Generate reports and dashboards to communicate insights.
• Assist in implementing data management policies and procedures.
• Provide technical support for data-related issues.
• Conduct data quality checks and audits.
• Assist in developing data governance frameworks.
• Design and maintain data pipelines and ETL processes.
• Implement and maintain data warehouses and data lakes.
• Ensure data quality and integrity across sources.
• Optimize data storage and retrieval for performance.
• Collaborate with cross-functional teams to solve data problems.
• Develop and maintain data documentation and metadata.
• Stay up-to-date with emerging data technologies.

Skills

Data modeling

ETL processes

SQL

Tableau

Power BI

Azure Databricks

Azure Data Factory

Data governance

Data warehousing

Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Factory

Azure Databricks

Tableau

Power BI

SQL Server

Job description

Summary

This role is responsible for supporting the organization's data management initiatives. This includes data analysis, data quality assurance, data governance, and data reporting. This role will work closely with team members to ensure data accuracy, completeness, and consistency. This role will also assist in the development and implementation of data management policies and procedures. Expectations to learn and apply industry best practices and stay up-to-date with emerging trends in data management.

• They are expected to have a solid understanding of data modeling, ETL processes, and database technologies

Key Responsibility

• Collect and analyze data to identify trends and patterns
• Develop and maintain databases and data systems
• Ensure data accuracy, completeness, and security
• Generate reports and dashboards to communicate insights and findings
• Assist in the implementation of data management policies and procedures
• Provide technical support for data-related issues
• Conduct data quality checks and audits
• Assist in the development of data governance frameworks
• Design, develop, and maintain data pipelines and ETL processes
• Implement and maintain data warehouses and data lakes
• Ensure data quality and integrity across all data sources
• Optimize data storage and retrieval for performance and scalability
• Collaborate with cross-functional teams to identify and solve data related problems
• Develop and maintain data documentation and metadata
• Stay up-to-date with emerging data technologies and trends

Experience & Education

• 5+ years of experience in data Analysis or a related field
• Strong knowledge of data modeling, data warehousing, and ETL processes
• Strong expertise and hands-on experience with Azure Data Factory and Azure Databricks
• Knowledge of data management principles and best practices
• Experience with data analysis and data quality assessment
• Familiarity with data governance frameworks and processes
• Role specific business application knowledge
• Proficiency in SQL and data querying
• Experience with data visualization tools such as Tableau or Power BI
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills