Top Analyst Jobs in Bangalore

Own analytics for Words With Friends Instant, providing insights on player behavior, product performance, experimentation, revenue, retention, and engagement. Design statistical experiments, dashboards, telemetry, and ETL pipelines; analyze trends and feature health; maintain data tools and models; and communicate recommendations to product, engineering, design, and executive stakeholders. The role also supports AI initiatives and optimization of the player experience.

Build and optimize scalable data pipelines, transformation workflows, data models, and reusable datasets on Databricks using Python and Spark. Implement data quality checks, testing, validation, documentation, and governance processes. Collaborate with Data Architects and Business Analysts to deliver compliant, reliable data products supporting business insights, performance tracking, and AI enablement.

Lead fraud risk analyst who builds early-warning systems, detects transactional anomalies, analyzes merchant behavior, designs monitoring strategies, partners cross-functionally, maintains queries and visualizations, and takes action to mitigate fraud and credit risk.

Leads programmatic campaign analytics and strategy for clients and internal teams. Responsibilities include designing analytic and testing plans, monitoring campaign and model performance, developing reporting and measurement tools, recommending optimization opportunities, and presenting actionable insights. The role partners with Sales, Customer Success, Product, and Engineering teams while translating complex technical findings into clear client-facing marketing and campaign strategy recommendations.

Monitor and improve risk data quality by validating processing, reviewing day-over-day anomalies, investigating exceptions, and coordinating remediation with upstream teams and data consumers. Maintain validation lineage, refine rules, support data governance, and communicate data availability. Partner with finance, risk, technology, and business teams to define requirements, test changes, and improve data processes and user experiences.

Develops and optimizes risk reports for Commercial Real Estate business teams. Translates stakeholder requirements into meaningful reporting outputs, performs advanced data analysis and complex querying, identifies reporting capabilities, and supports process improvement. Collaborates across business lines, manages multiple initiatives, influences stakeholders, and applies business analysis, design thinking, statistical methods, and project management skills.

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.

Perform product and business analytics: translate open-ended questions into hypotheses, analyze funnels and retention, run experiments, build dashboards and pipelines, collaborate with engineering and product, and deliver AI-enabled analytics to drive measurable business outcomes.

Develops and maintains business intelligence reports, dashboards, metrics, data cubes, and analytical solutions. Ensures reporting accuracy, timeliness, confidentiality, and usability; analyzes business data and requirements; collaborates on data warehouse development; extracts financial and statistical information; and trains users on BI tools and reporting systems.

Analyze marketing, product, and customer data to support commercial decision-making. Partner with stakeholders to define analytical problems, conduct A/B and multivariate experiments, measure marketing effectiveness and ROI, build dashboards, automate recurring analyses, and deliver actionable recommendations. The role also requires responsible use of AI tools, data stewardship, statistical reasoning, and clear communication with senior leaders.

Ensures sales deal data accuracy, completeness, and integrity through profiling, validation, cleansing, standardization, reconciliation, and root cause analysis. Reviews sales classifications, renewal data, contract values, dates, and deal attributes. Documents quality rules and collaborates with Sales, Finance, IT, and other stakeholders to resolve issues and improve data governance. The role also supports automation and reporting using Excel, SQL, Power Query, dashboards, and CRM data.

Manage and govern customer master data across Salesforce and related systems. Responsibilities include maintaining account hierarchies, consolidating accounts, merging contacts, preventing duplicates, creating trusted golden records, conducting data quality audits, remediating issues, and collaborating with Sales, Operations, and Technology stakeholders. The role also supports data governance standards, stewardship practices, reporting, and process improvements.

Build predictive models, forecasting frameworks, BI dashboards, and scalable reporting for sales performance. Analyze pipeline, funnel, revenue, and KPI data to identify trends, risks, and leading indicators. Partner with Sales, Finance, IT, and Sales Operations to standardize metrics, improve forecast accuracy, replace manual Excel processes, and create explainable single-source-of-truth reporting. The role also documents methodologies, supports data architecture decisions, and mentors Data and Sales Analysts.

Deliver complex analytics using Databricks, Snowflake, SQL, and Python to analyze large datasets, validate data products, assess model precision/recall, and present actionable insights to Product Owners and Data Scientists. Support data preparation, quality assurance, stakeholder communication, and continuous improvement of data products.

Build and maintain Power BI dashboards, datasets, data models, gateways, and refresh schedules. Analyze business data, define KPIs, improve dashboard usability, and resolve refresh failures. Establish data governance standards across Jira, Tempo, Salesforce, and other systems; identify and remediate data-quality issues; develop validation rules and exception reporting; document data definitions and processes; and use AI automation to streamline reporting and governance workflows.

Leads analytics for the Partnerships business, supporting agent acquisition, growth, retention, product optimization, financial risk, commission debt, funnel performance, and onboarding strategy. Builds diagnostic models, dashboards, tracking frameworks, and self-service analytics infrastructure while integrating generative AI tools. Partners with executives, data engineers, and analytics teams, presents insights to senior leadership, and mentors junior analysts.

Business Analyst supporting sales, marketing, and executive decision-making through Power BI dashboards, automated reporting, SQL queries, Snowflake data management, data transformations, quality testing, and QBR visualizations. The role gathers stakeholder requirements, maintains centralized reporting databases, analyzes trends, and delivers accurate business intelligence while improving reporting efficiency through automation.

Analyzes occupancy, space utilization, and workplace performance data to deliver executive insights and recommendations. Develops advanced Power BI dashboards, predictive models, KPI reports, and scenario analyses using CAFM/IWMS, badge, sensor, and other data sources. Maintains data quality, supports platform enablement and automation, coordinates stakeholders, and advises leadership on occupancy strategies, space optimization, and workplace technology initiatives.

Collects, reviews, analyzes, and quality-checks earnings estimates and financial market content from global contributors. Ensures accurate database and product publication, manages content incidents, monitors market events, maintains documentation, develops best practices, and performs automated checks. Trains new and existing analysts on workflows, data issues, databases, and products. Requires financial markets knowledge, analytical skills, Excel proficiency, strong communication, and flexibility for all shifts.

Build and maintain scalable data pipelines and ETL/ELT workflows on Google Cloud Platform. Ingest data into the enterprise data lake, primarily managing the bronze layer of a medallion architecture. Analyze legacy systems, document data flows, validate transformations with SQL, support data quality and governance, and collaborate with business stakeholders and technical teams to modernize data platforms.

Build and optimize cloud-native data products and infrastructure for UAE operations. Develop scalable ETL/ELT pipelines, write production-quality Python and SQL, manage AWS services and infrastructure as code, and support secure, compliant data solutions. Provide technical leadership, mentor junior engineers, execute software projects, establish development standards, and collaborate with senior stakeholders. Experience with APIs, CI/CD, regulated environments, agile delivery, and multi-region systems is beneficial.

Develop and maintain Power BI dashboards, reports, and semantic models for MedTech procurement analytics. Transform and integrate enterprise data using DAX, Power Query, SQL, Microsoft Fabric, and related tools. Ensure reporting accuracy, governance, security, and performance. Partner with procurement stakeholders to define requirements, metrics, and actionable insights covering spend, supplier performance, sourcing, compliance, and KPIs. Support workspace administration, reporting improvements, automation, and digital enablement.

Executes daily master data operations across item, supplier, finance, and customer domains. Investigates incidents, resolves data issues, performs validation and cleansing, supports governance and compliance controls, monitors SLAs, and provides business-user support. The role also conducts root cause analysis, maintains KPIs and documentation, supports testing and data migrations, and contributes to MDM projects and continuous improvement initiatives.

Executes day-to-day master data operations across item, supplier, finance, customer, and other domains. Investigates incidents, resolves work requests, performs data validation and cleansing, maintains governance standards, supports business users, monitors SLAs, and conducts root cause analysis. The role also contributes to KPI reporting, process improvement, testing, documentation, data migrations, and MDM projects while collaborating with global business, IT, and data stewardship teams.