Top Business Analyst Jobs in Hyderabad

Analyze financial operations and enterprise automation processes, model workflows using BPMN and UML, write functional specifications, query databases with SQL, and assess AI automation capabilities, data extraction limitations, and operational risk controls across financial products and trade management lifecycles.

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.

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.

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.

Supports organizational decision-making through complex data analysis, reporting, forecasting, dashboard development, and business intelligence initiatives. Analyzes large datasets across multiple systems, develops SQL-based reports and tools, identifies data-quality issues, improves and automates processes, and presents insights and recommendations. Collaborates with stakeholders, leads cross-functional initiatives, mentors team members, develops best practices, and contributes to KPI and methodology development.

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

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

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.

Own Varicent ICM and Sales Planning system capabilities, lead requirements gathering, design ELT/ETL processes, develop reports/dashboards, ensure data pipeline integrity, support testing, reconciliation, and stakeholder adoption to optimize sales compensation and planning.

Lead GTM analytics for Sales, Marketing, and Customer Success by owning KPIs, building and maintaining BI dashboards, and conducting ad-hoc deep-dive analyses. Act as Salesforce data subject-matter expert, develop and optimize SQL ETL scripts, and produce reliable reports for executives and frontline users. Translate complex data into actionable insights to drive revenue and retention decisions.

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.

Lead logistics analytics projects: design KPIs, dashboards, and reports (Power BI/Excel); perform root-cause analysis; support implementations, integrations, and cross-functional decision-making.

Lead analytics partner to business leaders: prioritize analytics opportunities, build data-driven solutions, oversee financial and quantitative modeling, ensure contract compliance, present to senior leadership, manage projects, and support pricing and market implementations.

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