Top Data Analyst Jobs in Kolkata

The Data Analyst will support the Customer Success Analytics team by analyzing data, answering analytics questions, and contributing to the code base while managing project implementations and improving customer insights through dashboards.

Leads data integration, quality assurance, and analysis of complex datasets to optimize efficiency and resolve issues. Communicates findings to stakeholders.

Analyze business needs through data analysis, improve processes, and coordinate training. Serve as a subject matter expert on product functionality.

The Data Engineer will design and implement data transformation and ingestion functions on GCP, build production data pipelines, and optimize them for performance.

The Analyst in Data Engineering performs routine tasks related to data management, supports basic projects, and resolves technical issues under supervision.

The Analyst, Data Engineering role involves applying basic principles and technical skills to assist in data engineering tasks under supervision, focusing on data accessibility and usability.

The Director Analyst will provide thought leadership in Edge Data Management, conducting research, publishing insights, and advising clients on emerging technologies and challenges in the field.

The Sr Analyst, Data Engineering will develop and maintain data pipelines on Databricks, optimizing performance and ensuring data quality and compliance while collaborating with analysts and business users.

The Data Analyst role involves delivering insights through data analysis, migration planning, and stakeholder management in financial services. Candidates must have strong analytical skills, knowledge of data models, and experience in Python and Pyspark.

The Data Operations Analyst develops custom product attribution solutions, utilizing manual tagging and machine learning, for retail and brand customers.

The Sales Data Insights Lead Analyst analyzes first-party and third-party data, manages analytic projects, and communicates insights effectively to stakeholders.

Analyze data to derive insights, automate reporting processes using Python, and collaborate with multiple teams to improve business outcomes.

This role focuses on basic data engineering tasks, including data acquisition and integration, under close supervision, while developing foundational skills.

The Senior Data Platform Support Analyst will manage and optimize the Azure Data Platform, handle incidents, monitor performance, and support ETL processes, ensuring data security and compliance.

The Data Steward Analyst ensures data accuracy and quality by validating, cleansing, and managing data across products while collaborating with stakeholders to define standards and govern policies.

The Junior Data Analyst will manage, analyze, and clean data while collaborating with field teams to ensure data quality and provide insights.

This role involves developing dynamic dashboards, analyzing data using SQL, collaborating with teams for insights, and ensuring data accuracy.