Top Analyst Jobs in Bangalore

Design, build, test, and support enterprise ETL/ELT data integration solutions and batch data pipelines. Collaborate with architects, analysts, and business users to gather requirements, ensure data quality, perform testing (DUT/SIT/UAT/DR/regression), troubleshoot failures, and maintain documentation and best practices.

Analyze and report sales data to increase sales productivity. Calculate targets, perform productivity analytics, prepare sales metrics reports, derive insights for segmentation and resource deployment, and improve reporting processes and tools.

Lead product and growth analytics by analysing large datasets, building dashboards, running cohort/funnel/retention analyses, measuring A/B tests, forecasting KPIs, and partnering with product, growth, marketing, engineering, and leadership to drive data-informed decisions and improve user acquisition, engagement, retention, monetisation, and operational performance.

Analyze large structured and unstructured datasets (Snowflake, Teradata) to produce actionable insights for Sales, Customer Success, and Renewals. Build and maintain dashboards/reports, validate data quality, design data models, recommend storage solutions, optimize retrieval and visualization processes, and collaborate with business and technical teams to deliver timely BI and analytics.

Design, develop, and maintain MIS reports and dashboards; extract, transform, and analyze operational data; track KPIs and identify trends; ensure data accuracy and integrity; automate recurring reports with Excel/VBA; collaborate with Operations/IT/Finance; prepare executive presentations; assist in software/database implementation and testing.

Lead product analytics for a mobile esports platform: design and analyze A/B experiments, surface user-level behavioral insights, influence product roadmap with opportunity sizing, build models for propensity/LTV/churn, and apply agentic AI and BI tooling to turn data into executive recommendations.

Design and build customer-facing dashboards and KPIs using Power BI and Apache Superset. Perform advanced SQL-based data mining in Databricks/Snowflake, deliver operational insights, partner with Customer Success and Data Science to standardize value frameworks, and use GenAI and Python to automate reporting and surface actionable business recommendations.

Lead the Data Desk: triage and route L1/L2 requests, perform code reviews for junior analysts, drive automation and self-service dashboards, run daily operations and people development, and ensure data quality and SLA adherence.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

The Demand Planning & S&OP Analyst leads the S&OP process, ensures alignment of demand and supply, and optimizes inventory management while enhancing customer service levels.

Ensure accuracy, completeness, and consistency of product data by validating, cleansing, enriching, profiling, and monitoring quality. Maintain data dictionaries, lineage, metadata, governance policies, dashboards, and compliance. Collaborate with stakeholders, operations, and other data stewards; train users and gather feedback to improve data products.

Ensure accuracy, completeness, and consistency of product data by validating, cleansing, profiling, and enriching content. Define data quality standards, maintain data dictionaries and lineage, implement governance policies, build quality dashboards, collaborate with stakeholders and operations, train users, and ensure compliance with privacy and regulatory requirements.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Designs and maintains enterprise dashboards and reports, performs SQL-based analyses, identifies operational performance drivers, partners with cross-functional leaders, provides ad-hoc analytics, and mentors junior analysts to improve organizational outcomes.

Design, develop, and support analytics solutions including dashboards, reports, and data models. Clean and transform data, ensure data quality and governance, partner with stakeholders to gather requirements, apply AI prompting/tools to accelerate delivery, and implement process and change improvements for scalable, production-ready analytics.

Support the transaction management team by reconciling property data, coordinating due diligence, managing communication with vendors, and processing property transactions efficiently.

Build and maintain Five9's engineering intelligence platform: design Looker dashboards, migrate HTML dashboards, implement DORA metrics, create automated ETL pipelines from Jira/Jellyfish/Salesforce into BigQuery using SQL/Python, ensure data quality and near-real-time freshness, and deliver analytical insights to engineering leadership.

Assess the current SAP BW implementation and lead technical implementation of Azure Databricks to enable retirement of SAP BW and SAP BusinessObjects. Serve as an offshore technical resource for migration planning, data integration, validation, and execution to transition reporting and analytics to Databricks on Azure.

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.

Design, build, and maintain cross-vendor market data pipelines and QA processes. Investigate complex data issues, handle escalations, collaborate with product and engineering via JIRA, and ensure data accuracy for equities fundamentals, estimates, and market data.

Lead end-to-end process mapping and analysis using BPMN and process/task-mining tools to identify inefficiencies, create As-Is/To-Be documentation, define BRDs, model future-state scenarios, and drive cross-functional implementation with executive reporting.

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

Build and maintain call center forecasting models (long- and short-range) using historical data and BI to predict contact volumes and AHT. Produce daily, weekly and period forecasts, coordinate staffing recommendations, present results, support process improvements, and maintain models in Anaplan and Excel.

The role involves delivering consulting projects in Data Science and AI for Life Sciences, utilizing various statistical and programming skills.