Top Business Analyst Jobs in Kolkata

As a Senior Business Systems Analyst, you will define system goals, capture business requirements, and work with engineering teams on SFDC implementations.

Analyze complex data, elicit and document business requirements, identify process improvements, support project delivery, build reports and dashboards, communicate with stakeholders, and conduct market research to inform strategy.

Act as liaison between business and technical teams to gather and document requirements, analyze processes and data, create process maps, user stories, and dashboards, support project management and QA, and facilitate stakeholder workshops to drive improvement and automation.

Analyze marketing campaign performance, customer behavior, and market trends; build and maintain marketing dashboards and reports; collaborate with marketing and sales to define data needs; conduct competitor and KOL analysis; present insights via data visualization and recommend optimizations to improve marketing ROI and conversion.

The Business Analyst will define and implement incentive compensation strategies, integrate data for accurate calculations, and drive discussions on functional requirements in the healthcare domain.

The Digital Business Analyst will gather requirements, conduct gap analyses, and implement Adobe Experience Cloud solutions for enhanced customer experiences.

The Business Analyst will understand SaaS business models, onboard customers, manage data pipelines, and analyze customer KPIs using SQL.

Lead enterprise data strategy, governance, and standards; translate business needs into scalable data solutions; drive cross-domain analytics, data quality, and operational excellence; mentor team members and enable business adoption of data deliverables aligned to measurable value.

Analyze complex datasets using SQL, build and maintain Tableau dashboards, perform statistical and predictive modeling with R/Python, identify process improvements, and collaborate with cross-functional teams to deliver actionable business insights.

Ensure quality, consistency, and governance of enterprise master data through data analysis, reporting, and collaboration. Perform data mining, identify quality issues, develop dashboards, run system queries, maintain data, support supplier outreach, and meet SLAs while supporting business initiatives and process improvements.

Perform data quality analysis and monitoring for capital markets by identifying issues, designing and enhancing checks, documenting processes, and partnering with cross-functional and regional teams to deliver permanent solutions.

Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.

The Business Analyst II role involves gathering and documenting business requirements, configuring JIRA, supporting Agile methodologies, and optimizing operational processes.

Lead analytics and optimization of the full RCM lifecycle (eligibility, billing, denials, collections). Build dashboards, perform variance and root-cause analyses, drive cash collections, support audits and payer contract reviews, and translate data into actionable insights for leadership.

Lead enterprise data strategy, governance, and standards while translating business needs into scalable data solutions. Drive cross-domain analytics, ensure data quality/lineage, manage delivery and risk, and mentor junior analysts. Partner with Product, PMO, and Engineering to enable self-service analytics and align data initiatives to measurable business value.

The Senior Business Analyst collects, analyzes, and presents data to support business decision-making, reporting, and strategic planning within the organization.

Conduct consultative analytics and deliver executive-level recommendations and ad hoc analyses to business and finance partners. Build self-service dashboards and presentations, perform predictive modeling and time-series forecasting (preferably for workforce optimization), provide cost-benefit analyses for investments, and streamline processes while communicating insights to senior stakeholders.

Transform raw data into actionable insights by collaborating with business units, optimizing SQL queries, enhancing Tableau dashboards, and driving process improvements.

Partner with business stakeholders to convert questions into data analyses, build predictive models (regression, decision trees, random forest, SVM), produce visualizations and scorecards in Tableau/PowerBI, surface insights and recommendations, and communicate results to senior leaders. Drive POCs to implementation and handle large structured and unstructured datasets; working knowledge of LLMs/GenAI and deep learning is advantageous.