Top Business Analyst Jobs in Hyderabad

Manage the Microsoft Fabric analytics environment, including workspaces, security, pipelines, Lakehouse layers, data models, and data quality monitoring. Develop and optimize Power BI dashboards, reports, and datasets using SQL, DAX, Power Query, and semantic modeling. Collaborate with technical and business stakeholders to translate requirements into actionable insights while ensuring performance, reliability, documentation, and maintainability.

Creates dashboards, reports, scorecards, datasets, and data pipelines to support business decisions and operational performance. Works with business and technical stakeholders to gather requirements, design data models, perform ETL, and develop scalable Python and Databricks workflows. Uses SQL and business intelligence tools to analyze data, optimize reporting, troubleshoot production issues, and support migration and automation initiatives within Agile teams.

The Business Analyst role is advertised within an overseas careers and immigration consultancy. The description highlights helping professionals and families with international career, education, travel, migration, and investment services. The company emphasizes technology use, including cloud computing, CRM implementation, and MPLS networking, as well as growth opportunities, overseas travel, commissions, bonuses, and work-life balance. Specific business analysis responsibilities and qualifications are not provided.

Leads business intelligence and reporting initiatives by gathering, modeling, validating, and analyzing complex data. Designs dashboards, reports, KPIs, and data sets using Power BI and related technologies. Collaborates with stakeholders and database administrators on data architecture, queries, integrations, and reporting availability. Converts historical, current, and predictive operational data into actionable insights that support strategic and tactical business decisions.

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.

Develop automated data solutions using VBA, SAP Scripting, Power Query, Power BI, and Python. Build dashboards, reports, data models, ETL processes, and Excel automation tools. Translate stakeholder requirements into actionable insights, optimize reporting performance, troubleshoot code, and collaborate with data teams. The role also involves data manipulation, API integration, and potentially SQL, relational databases, Tableau, QlikView, and Alteryx.

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.

Analyze business requirements, extract and investigate data, handle ad-hoc analytics requests, develop Qlik Sense dashboards, and present actionable insights. The role also improves platform stability, streamlines processes, supports business initiatives, and contributes to data science strategy. Candidates must collaborate effectively, solve problems proactively, and modify code as needed. Required technical skills include Python, PySpark, SQL, Qlik tools, and knowledge of S3 data architecture.

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.

Develop and optimize Power BI dashboards, reports, data models, and visualizations using DAX, Power Query, SQL, and related tools. Lead BI implementations from requirements gathering through deployment and user training. Collaborate with data engineers and business stakeholders to define KPIs, validate data, translate requirements into actionable insights, and deliver intuitive analytics solutions. The role also supports dashboard integrations, testing, debugging, migration, and GenAI automation initiatives.

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.

The Associate Business Analyst will collaborate with stakeholders to analyze processes, develop improvements, document requirements, and support system implementations.

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 Associate Business Analyst will analyze business processes, gather requirements, and propose solutions to enhance efficiency. Responsibilities include documentation, collaboration with stakeholders, and process optimization.

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

Prepare monthly business review reports and dashboards for Service Sales and Consumables; consolidate and standardize data, extract from ServiceMax, and deliver insights via Power BI. Track field engineer KPIs, support leadership reviews and CE meetings, produce ad-hoc executive reports, maintain datasets, assist sales planning and vendor compliance, record meeting minutes and follow up on action items.

Lead functional analysis and conceptual solution design for complex, cross-functional data initiatives. Elicit and document requirements, create conceptual data artifacts, assess data quality and lineage, design functional solutions, and partner with engineering to guide delivery and UAT.

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.