Top Business Analyst Jobs in Gurgaon

Design, develop, test, and maintain software applications. Optimize performance, troubleshoot issues, provide technical support, and collaborate with stakeholders to meet business requirements.

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 Intelligence Analyst II analyzes business intelligence data to inform decisions, identifies trends, and collaborates with various teams to implement business strategies.

The role involves analyzing data to uncover trends and insights, developing reporting tools, and automating reports to support decision-making and business objectives.

Partner with Services leaders to design territory investment and alignment strategies, analyze internal and external data to identify market opportunity, run recurring and ad-hoc analyses and scenario models, own complex analytical projects to drive retention, efficiency, revenue and margin decisions, and establish territory optimization best practices.

Analyze business intelligence data to inform decisions, identify trends, and collaborate with various business areas to model strategies.

Lead measurement planning, weekly reporting, media and creative testing/analysis, and competitive research. Manage project timelines, communicate progress to leadership, run client calls, develop media/creative strategies, and produce measurement plans and reports aligned to client business objectives.

Design and maintain scalable data pipelines and curated datasets using EDP and cloud technologies. Build analytical solutions, dashboards, and data models with SQL, BigQuery, Python, and Power BI. Support data quality, governance, metadata, lineage, UAT, and cross-functional stakeholder collaboration to deliver trusted, reusable data products for self-service analytics.

Analyze large transactional datasets, write and maintain complex SQL queries and stored procedures, optimize query performance, ensure data quality, collaborate cross-functionally, and build reusable data models and analytical frameworks for reporting and dashboards.

Perform talent performance studies, clean and join datasets, run statistical analyses, and deliver actionable reports. Build and maintain B2B sales talent dashboards (Domo preferred). Provide fast-turnaround workforce reporting, support executive QBRs, and ensure data governance and accuracy to influence hiring, onboarding, and retention strategies.

Analyze large datasets, build ETL processes, create dashboards and data visualizations (Tableau) and present actionable insights to program leadership. Collaborate with stakeholders to define requirements and support data-driven decision making.

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.

The Business Intelligence Analyst I analyzes BI data, tracts industry trends, collaborates across departments to model business strategies, and improves processes.

The Senior Business Analyst leads product ownership and facilitates project delivery within an agile framework, focusing on requirements management and enterprise business systems analysis.

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.

Act as liaison between business and technical teams to profile, map, transform, and standardize large-scale insurance data. Create BRDs, STTM (source-to-target) mappings, lineage and design documents, and perform data profiling to ensure data quality across policy, claims, and reinsurance lifecycles.

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

Design, develop, and maintain interactive dashboards and semantic data models (primarily in Power BI). Partner with stakeholders to define KPIs, build SQL queries and ETL transformations, ensure data quality and governance, troubleshoot performance, document processes, and deliver actionable insights across large, disparate datasets in a fast-paced, matrixed environment.

The Sr. Tableau Administrator will provide dashboard support, manage incidents, own the ticketing system, ensure operational efficiency, and collaborate with teams to improve data quality and user training.