Top Data Analyst Jobs in Kolkata

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

The Mid-Level Data Analyst transforms raw data into analyses and reports, identifies trends, and commands data-driven decisions.

The Senior Data Analyst will manage data strategy for ABM accounts, analyze campaign performance, create dashboards, and optimize marketing strategies.

The Product Data Analyst will analyze user behavior, manage data capture, build reports, and collaborate with teams to enhance user engagement and product improvements.

The Data Analyst at HighLevel will analyze data to provide insights, build reports, and enhance customer experience by collaborating with different departments.

The Business Data Analyst will analyze data trends, conduct market research, create actionable recommendations, and support cross-functional teams in strategic decision-making.

The Sr. Data Analyst will develop and maintain data pipelines, support reporting functions, and ensure data quality and governance within the organization.

The Data & Insights Analyst role involves generating insights through Salesforce reporting, BI tools, and driving operational excellence through data analysis and collaboration.

As a Data Scientist & Analyst, you will analyze data for growth insights, build Power BI dashboards, and collaborate across teams to improve strategic decisions.

The Senior Data Analyst will design and apply visual tools, automate reporting, analyze data, and support strategic decision-making to optimize business performance.

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 role involves collaborating with teams to identify metrics, analyzing large datasets, supporting data management, and driving insights for executives.

Lead data strategy and reporting processes, develop data infrastructure, ensure data quality, and provide insights across the organization, driving data-driven decisions.

The Analyst will support data-driven decision-making, conduct process assessments, perform data analysis, and develop business requirements and process maps to identify improvement opportunities.

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.