Top Business Analyst Jobs in Kolkata

Develop and execute monetization models, pilot revenue initiatives, analyze conversion and market data, manage budgets, identify business partnerships, and collaborate on growth plans. The role turns data into actionable business insights, communicates findings to stakeholders, and supports strategic decisions that drive revenue and expansion.

Supports Tableau dashboard development, operational reporting, requirements gathering, basic data analysis, T-SQL querying, and Excel-based reporting. Maintains data quality, documentation, and process materials while helping translate findings into summaries and presentations. Collaborates with senior analysts and cross-functional partners to deliver accurate reporting outputs.

Business Analyst gathers and governs requirements, maps business processes and data flows, defines KPIs and data-quality rules, maintains data catalogs and metadata, and advises stakeholders on solutions. The role translates requirements into functional specifications, user stories, and acceptance criteria; leads UAT planning, defect triage, and business sign-off; and coordinates testing, deployment, and implementation. Experience with SAP, cloud data platforms, dbt, data lineage, APIs, and AI-assisted delivery tools is advantageous.

The job description provides limited information. The Senior Business Analyst will support business activities with a focus on customer needs and organizational objectives.

Own HR data mapping into Amazon Redshift, maintain data dictionaries and metric definitions, and build executive dashboards in QuickSight and Power BI. Analyze workforce metrics, optimize SQL queries, resolve data quality issues, and partner with HR, recruiting, compensation, and leadership teams. The role supports recurring reporting, privacy-compliant handling of sensitive employee data, and potentially AI-powered analytics solutions.

Develops and maintains business intelligence reports, dashboards, data models, and visualizations using Power BI, DAX, SQL, and enterprise data platforms. Extracts, transforms, validates, and analyzes data to generate actionable insights and support decision-making. Collaborates with stakeholders to gather reporting requirements, communicates findings, supports data governance, and improves reporting processes through automation and emerging technologies.

Lead business intelligence and analytics for the Revenue Organization, partnering with Sales, Marketing, Customer Success, RevOps, and Finance. Own KPI frameworks, executive dashboards, self-service reporting, advanced SQL analysis, data quality, and analytical requirements. Enable stakeholders to use data and AI effectively, integrate LLM tools into BI workflows, support data modeling and governance, and manage analytics projects from requirements through adoption.

Lead business analysis for procurement-focused BI projects. Gather stakeholder requirements, document business processes, create functional specifications and data mappings, and define Power BI dashboards, data models, calculations, and visualizations. Support project planning, scope and milestone tracking, RAID and decision logs, governance communications, UAT, deployment, training, and hypercare. The role requires strong Power BI, data modeling, DAX, Azure, ETL/ELT, procurement analytics, and cross-functional stakeholder management experience.

Leads customer analytics projects using dbt and Snowflake, establishes data and code quality standards, mentors junior analysts, conducts code reviews, documents reusable solutions, manages customer requirements, delivers analytical findings, and identifies expansion opportunities.

Serves as the bridge between business stakeholders and BI/IT teams by translating requirements into analytics solutions. Defines KPIs, guides Power BI and SQL development, validates data and dashboards, coordinates UAT, supports governance and standardization, trains users, and drives adoption of business intelligence tools. Partners with Sales, Finance, Delivery, and Operations leaders to deliver actionable insights and measurable business outcomes.

Build and maintain finance data models, pipelines, analytical models, datasets, and Power BI reports using Microsoft Fabric, Databricks, PySpark, and related platforms. Integrate SAP and non-SAP financial data, ensure metadata, lineage, governance, and production reliability, and manage code releases through GitHub. Collaborate with finance, engineering, and business stakeholders to deliver scalable, AI-ready data solutions and translate complex information into actionable insights.

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

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.

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.

Analyze data, produce recurring reports, identify reconciliation and performance issues, and recommend solutions for key ecommerce accounts. The role develops actionable insights, improves reporting, collaborates with cross-functional teams on process and customer experience improvements, and manages projects through completion. Candidates should understand SQL Server, Power BI, ecommerce fulfillment, and third-party logistics operations.

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