Top Analyst Jobs in Bangalore

Develop and execute marketing analytics strategies, oversee Python-based ETL pipelines and SQL data environments, maintain Tableau and Adobe Analytics reporting solutions, establish data governance and quality standards, define KPIs, deliver actionable insights, manage analytics projects, and present findings to leadership.

Analyzes, cleans, validates, and interprets data from multiple sources to generate actionable business insights. Uses Python or R, SQL, Excel, and Power BI or Tableau to perform analysis, automate processes, and create dashboards and reports. Identifies trends and KPIs, ensures data accuracy, communicates findings, and collaborates with cross-functional stakeholders to support data-driven decisions.

Supports the enterprise data systems ecosystem by monitoring performance, managing system changes, troubleshooting incidents, resolving data and integration issues, administering access controls, maintaining documentation, and optimizing workflows through SQL, reporting, ETL, and automation tools. The role partners with business and technical teams on implementations, testing, upgrades, training, and continuous improvement.

Analyze business data, build and maintain business models, provide actionable insights and reports, collaborate with cross-functional teams, monitor performance, and recommend efficiency improvements to support strategic decision-making.

Leads end-to-end analytics for content-flow operations, translating business questions into hypotheses, KPI frameworks, dashboards, and actionable insights. Analyzes throughput, cycle times, quality, rework, supplier performance, workload, and operational bottlenecks using SQL and advanced analytical methods. Partners with senior stakeholders, data management, IT, and operations teams to improve data quality, governance, reporting adoption, and decision-making. Coaches junior analysts and leads tactical analytics projects.

Analyze existing data structures, map to new designs, write user stories and acceptance criteria, document data mappings/transformations, gather requirements, support developers and testers, and run workshops to ensure business-focused delivery.

Leads AI-driven reporting, analytics, and digital initiatives across the full project lifecycle. Designs dashboards, data architectures, ETL/ELT pipelines, APIs, and business intelligence solutions using cloud and AI technologies. Partners with stakeholders to define requirements, prioritize projects, manage delivery, and communicate technical concepts. Evaluates emerging tools, integrates agentic AI into reporting workflows, and drives continuous improvement, adoption, and measurable business value.

Lead MDM data consumption and validation across Customer 360/Reference 360. Validate data flows from MDM to APIs, batch pipelines and Snowflake; run SQL-based reconciliations; support UAT, defect tracking, requirements documentation, and downstream financial reporting validation. Act as analyst bridging producers and consumers, focusing on data quality and documentation rather than development.

Lead data analytics initiatives by developing Tableau and Looker dashboards, integrating and validating data from multiple sources, optimizing reporting performance, writing SQL and Python-based analyses, translating stakeholder needs into scalable solutions, and mentoring analysts. The role also supports data engineering, ETL/ELT processes, GCP applications, and continuous improvement of analytics practices.

Develop and maintain Power BI dashboards, reports, data models, measures, and DAX calculations. Extract and analyze data using SQL, validate report accuracy, troubleshoot data issues, and translate stakeholder requirements into actionable visualizations and insights. The role also involves documenting dashboard logic and data sources while collaborating with business stakeholders.

Develop and maintain Power BI dashboards and reporting solutions, write and optimize SQL queries, build data models and DAX calculations, validate data quality, and translate business requirements into actionable insights. The role involves stakeholder collaboration, troubleshooting reporting issues, documenting dashboard logic and data sources, and ensuring accurate, consistent reporting.

Evaluates AI outputs and workflows through human labeling, failure-mode analysis, benchmark maintenance, and quality reporting. The role maintains labeled datasets, golden sets, and regression slices; calibrates human graders; validates LLM-as-a-judge results; and identifies hallucinations, retrieval, tool-use, grounding, and workflow issues. It partners with Engineering, Product, QA, and evaluation teams to improve rubrics, assess product changes, monitor quality, and support release-readiness decisions.

Produce executive-grade dashboards and reports (Power BI, SSRS), analyze healthcare revenue cycle and financial/operational performance, identify root causes and trends, validate data across sources, and provide data-driven recommendations to Client Services and executive leadership to improve revenue and client outcomes.

Monitor and triage enterprise data pipeline incidents, investigate root causes, assess downstream impact, and coordinate escalations through resolution. Administer the Pantomath data observability platform, configure monitors and alerts, onboard pipelines, maintain integrations, and reduce alert noise. Communicate outage status and resolution timelines to stakeholders, document incidents and RCAs, support post-incident reviews, and conduct shift handoffs within a shift-based operations model.

As a Senior Business Systems Analyst, you will define system goals, capture business requirements, and work with engineering teams on SFDC implementations.

Develops dynamic client-facing reports and visualizations for investment services clients using IRD, MCD, and BI platforms. Analyzes large datasets, supports data modeling and data mart design, applies SQL for validation and optimization, and collaborates with data and product teams to ensure data integrity. Serves as an IRD subject matter expert while supporting reporting issues and complex global requirements across custody, digital, and fund services.

Develop digital analytics insights, metrics, and business intelligence to improve customer journeys, engagement, conversion, personalization, and digital experiences. Advise stakeholders on data strategy, optimize campaigns, manage analytics and data platforms, translate requirements into measurement solutions, and collaborate with tagging developers. Provide training, coaching, and senior-level guidance while influencing business decisions through data-driven recommendations.

Analyze business and product data, build data models, and maintain dashboards and reporting layers in Looker and Snowflake. Translate stakeholder questions into actionable insights, optimize SQL queries, and ensure metric consistency. Build AI-powered analytics tools and automations, support self-service data access, and communicate findings through reports and presentations. Lead analytics projects, collaborate cross-functionally, and coach junior team members.

The posting provides extensive information about Quess Corp and its business divisions but does not specify the Assistant Manager Data Analyst role’s responsibilities, required qualifications, tools, compensation, or work arrangements.

Cleanses and manages enterprise master data across materials, customers, vendors, and finance. Performs data profiling, validation, quality analysis, root-cause investigation, reporting, dashboard development, and KPI tracking. Supports data governance by defining standards, authoritative sources, quality rules, business definitions, and metadata. Collaborates with business stakeholders and data teams, provides analytical insights, and communicates findings to technical and non-technical audiences.

Coordinates SCV operations, supplier onboarding, access requests, and ServiceNow incidents. Maintains continuous improvement tracking, prepares incident and usage reports, documents procedures, and supports cross-functional issue resolution with suppliers, buyers, IT, engineering security, Ariba, SAP, and application teams. Analyzes recurring incidents and recommends process or system improvements while ensuring requests are routed and closed within SLA.

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

Conducts due diligence, comparative analysis, reporting, dashboard development, and competitive intelligence for content strategy. The role analyzes content usage, readership, coverage, sources, and partnerships; supports business cases, stakeholder inquiries, process improvements, and ProductBoard content requests. It collaborates with Product, Engineering, Finance, Legal, Operations, Revenue, BI, vendors, and clients to improve content offerings and inform operational and product decisions.

Build and maintain marketing data pipelines, lakehouse and warehouse models, schemas, tables, and analytics-ready datasets. Implement data quality controls, automated testing, governance, and secure access patterns. Optimize data transformations and compute performance while supporting dashboards, KPI monitoring, campaign measurement, attribution metrics, and reporting workflows. Collaborate with IT and analytics teams to deliver scalable, reliable data assets for marketing insights and decision-making.

Partners with stakeholders to define BI requirements and builds interactive Tableau dashboards using Snowflake data. Automates reporting workflows with SQL and Python, applies AI tools and machine learning capabilities to generate insights, and promotes AI-forward analytics standards. Contributes to customer experience BI frameworks, collaborates cross-functionally, maintains data quality, and manages multiple analytics projects while communicating findings to technical and non-technical audiences.