Top Business Analyst Jobs in Hyderabad

The Business Analyst gathers and manages requirements, analyzes data, improves processes, supports Agile delivery, coordinates UAT, and drives automation and digital transformation initiatives. The role develops dashboards, KPIs, process models, business cases, and executive reporting while partnering with business, technology, compliance, vendors, and leadership teams. It also supports governance, risk mitigation, regulatory compliance, and successful delivery of measurable business outcomes.

Gather and document business and data requirements, translate needs into user stories, perform data gap analyses and source-to-target mapping, and validate data outputs using SQL. Support data profiling, quality monitoring, data lineage, QA, Agile ceremonies, documentation, workflow improvements, change management, and stakeholder communications across client, product, engineering, and business teams.

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.

Owns distribution-business data analysis across retail and institutional asset management. Responsibilities include gathering requirements, documenting data flows, querying Snowflake and databases, using APIs, validating data quality, translating business needs into technical instructions, supporting Agile backlogs, leading UAT, and communicating project risks and updates to stakeholders.

Serve as the functional lead for Informatica MDM initiatives, bridging business stakeholders, data governance, PLM/ERP owners and technical teams. Define and standardize master data (product, material, BOM, customer, supplier), capture and refine requirements, support solution design, drive data quality improvements, coordinate UAT, and ensure successful deployment aligned to product data strategy and transformation roadmap.

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.

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

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.

Serve as a business analyst / data product owner in Enterprise Data & Analytics. Elicit requirements, design business-ready datasets and analytics solutions, coordinate delivery with development teams in a SAFe Agile model, support data governance, identify and remediate data quality issues, create test plans and documentation, provide training on reporting tools, and act as the primary IT contact for business stakeholders.

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.

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.

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.

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.

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.

Design, build, and maintain end-to-end analytics and BI solutions: data models, transformations, and interactive dashboards. Use SQL, Python/PySpark, notebooks, and BI tools (Power BI, Gen-UI) to deliver insights, predictive models, generative-AI use cases, and stakeholder-facing reporting. Document data flows, ensure data quality, and partner with business leaders to drive performance insights and decision-making.