Top Analyst Jobs in Bangalore

Build and maintain automated data pipelines from Salesforce, NetSuite, Adaptive Insights, OpenAir, and other systems into a central database. Turn business requests into technical specs, author Claude-based skills and dashboards, ensure data quality (validation, deduplication, monitoring, documentation), troubleshoot integrations, and partner with Sales Ops, Finance, and Services to deliver decision-ready intelligence.

Support Risk Management & Compliance Chief Data Office by implementing and maintaining the Data Quality Framework, managing project plans, monitoring milestones, reporting status to stakeholders, preparing presentations, documenting processes and controls, and driving operational improvements across RM&C data initiatives.

Analyze and interpret data to identify trends and actionable insights, develop and maintain reports and dashboards, investigate data issues, ensure data quality, collaborate with stakeholders, communicate findings, and support continuous improvement initiatives to inform business decisions.

Perform advanced analyses on complex healthcare datasets, build and maintain dashboards and reports, translate business needs into analytical solutions, communicate insights to stakeholders, ensure data quality, mentor junior analysts, and support analytics governance and continuous improvement.

Conduct deep secondary research to build structured company intelligence on private-market firms, deals, ownership and corporate events. Analyze complex M&A, investments and ownership changes, onboard new companies, use AI-enabled research tools to accelerate workflows, resolve data inconsistencies, ensure data quality and collaborate with global data, product and engineering teams.

Build and maintain Salesforce reports and dashboards, deliver ad-hoc and periodic analytics and account mapping, support Business Development programs for partner engagement, and collaborate with cross-functional BI, Sales Ops, and Marketing teams to drive insights and operational improvements.

Lead data analysis efforts within Integrated Supply Chain, translating complex datasets into actionable insights, developing analytics strategies, ensuring data integrity, and coaching ISC analytics team members to improve operational efficiency and decision-making.

Maintain and govern enterprise master data by defining standards, integrating systems, supporting SAP MDM/MDG users, translating business needs into technical designs, training users, coordinating consultants, and improving data lifecycle and system configurations.

Maintain accuracy, governance, and lifecycle of enterprise master data in SAP environments. Define data standards, map system integrations, support global SAP MDG/MDM users, collaborate with Supply Chain/Finance/IT, design technical solutions, provide training, coordinate consultants, and ensure data quality and system controls.

Deliver and maintain sales intelligence reporting and dashboards by extracting, transforming, and validating data from warehouses and CRMs. Support request intake, prioritize analyst tasks, ensure data accuracy, and translate complex data into clear visualizations for sales and cross-functional stakeholders.

Perform branch performance analysis by extracting and reconciling legacy and Databricks datasets, developing SQL and Python workflows, supporting recurring reporting and dashboards, documenting data definitions and lineage, and partnering with finance to produce accurate, explainable outputs while applying data governance and validation.

Support CIB Global Finance by developing data marts, management reporting, dashboards and ad-hoc analytics. Drive metrics, operational insights, cost and capacity analysis, data quality improvements, and BI tool maintenance to inform senior leadership decisions.

Lead Data Management Analyst drives companywide data governance and quality initiatives, oversees regulatory reporting, evaluates data quality metrics, identifies and remediates integrity issues, leads project teams, mentors staff, manages stakeholders, and develops executive reporting and automation to improve data governance and operational efficiency.

Lead companywide data management and governance initiatives to ensure data quality, integrity, and regulatory compliance. Oversee data quality metrics, audits, lineage, metadata, and MDM; recommend remediation and assess new data sources. Lead projects, mentor staff, engage stakeholders, develop executive reporting and dashboards, and drive automation and process improvements to enhance governance and operational efficiency.

Serve as client-facing analytics lead for programmatic campaigns: design testing and measurement plans, analyze model and campaign performance, produce actionable reports and presentations, recommend optimizations, and collaborate with Sales, Customer Success, Product, and Engineering to improve measurement, automation, and campaign effectiveness.

Deliver complex data analysis and BI solutions to support GTM decisions. Build and maintain Snowflake/DBT data models, automate reporting, develop Streamlit and Python tools, manage analytics projects, collaborate with stakeholders, and apply Gen AI and advanced analytics to optimize forecasting and processes.

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

The Senior Data Analyst will define source data, create data mapping, report inconsistencies, assist with data migration, and manage stakeholder expectations while delivering insights in financial services.

Design, build and maintain data solutions using Microsoft Fabric and Power Platform. Develop Power Apps, Power Automate workflows, Power BI dashboards, and data pipelines (Fabric/ADF). Ensure data governance, security, integration with Azure services and third-party APIs, optimize performance, troubleshoot, and collaborate with stakeholders to deliver end-to-end solutions.

Lead design and delivery of cloud-native data platforms (Integrated Data Store) for UAE operations. Provide technical leadership and mentoring, implement software and data engineering strategy, build and optimise ETL/ELT pipelines, ensure alignment with architecture, governance, security, and CI/CD practices, and use Terraform/AWS for infrastructure provisioning.

Collect, validate, and maintain high-volume real-time financial fund data. Perform automated and manual quality checks, resolve data issues with stakeholders, produce custom reports, participate in Lipper CST support, and identify process improvements using automation and AI tools.

Maintain and validate financial markets data, build and enhance automated data sourcing and validation solutions, respond to complex client data queries, produce reporting, and coach/train junior analysts. Drive technology-first improvements using Python, Power Automate, Power BI, and AI tools to ensure data accuracy, timeliness, and high service quality.

Perform business process and requirements analysis, collaborate with stakeholders, translate needs into technical requirements, analyze data for insights, document models and reports, and facilitate workshops to improve operational efficiency.

The Senior Data Analyst leads efforts in data migration, working with teams to manage, cleanse, and validate data for new systems, ensuring quality and timely project delivery.

The Sr Analyst will leverage BI tools to analyze and visualize data, identify trends, mentor users, and improve reporting processes.