3,502 data analyst tableau jobs in India.

... scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact A Senior Architect – Data Centre is responsible for leading architectural design and execution across all project phases, from concept to construction. The role involves expertise in space ...

... Data Platform & Orchestration is seeking a Lead Data Engineer to design and build next-generation, cloud-native data platforms supporting Mastercard's global data ecosystem. In this role, you will lead the development of scalable batch and real-time data pipelines, enabling efficient data processing across Data Lakes and ...

... senior leader in the data engineering team, you will set the standards for best practices and will be a mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse ...

... delivering on our mission. Duties and Responsibilities: - Triage and investigate technical and product issues raised by customer-facing teams using backend tools and data platforms like Datadog, FullStory, Amplitude, and Snowflake - Act as a product quality advocate by fielding feature requests, triaging surfaced issues, and partnering ...

... time, detect data or concept drift, and provide timely, actionable feedback for retraining or recalibration as needed. - analyze and interpret large, complex datasets from distributed databases to generate and provide valuable actionable insights to stakeholders using big data technologies like scala-spark/pyspark. - drive ...

Job description: Senior Sales Executive / Team Lead : About NTT DATA: With people at the heart of our success, NTT DATA is committed to attracting and growing the best talent and providing an environment where everyone feels they can belong and their contribution matters. It’s our belief in possibility that drives us, but ...

... narratives, evidence packs Building and maintaining dashboards for business (delivery status, issue/action ageing, control testing progress, audit readiness). Strong data-to-insight capability and can translate raw data into clear dashboards, trends, and actions Experience with visualization/reporting tools. Exposure to private ...

... 'Orchestrating a NEC enables businesses and communities to adapt to rapid world where everyone has the chance to reach their full potential. Job Role: Business Analyst Total yrs of Experience: 7yrs to 10yrs Hybrid - 12days from office Primarily focussed on Systems Analysis and preparation of functional specifications / User ...

Role Overview : The ideal candidate should have strong hands-on experience with AWS data services, PySpark, SQL, ETL/ELT development, and large-scale data processing. You will work closely with data analysts, data scientists, technology teams, and business stakeholders to deliver robust data solutions that support analytics, ...

... from large, complex datasets. You will collaborate with data architects, analysts, and business stakeholders to deliver scalable, secure, and high-performance data https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Design and develop end-to-end data pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, ...

... ETL Tool ONLY amongst Talend Datastage Informatica ISS Cloud version Data Fusion Data Flow Data Proc Mandatory SQL PLSQL Scripting Experience Expert in Python Data Flow Pubsub Big Query CICD Must have good Experienceknowledge on GCP components like GCS BigQuery AirFlow Cloud SQL PubSubKafka DataFlow and Google Cloud SDK ...

... in regulated industries (Pharma, Life Sciences, Banking). Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s) Enable high-quality, compliant data for analytics, ML, and GenAI workloads ...

Key Responsibilities: Dynamics 365 Customization: Modify forms, views, and dashboards to align with business needs. Data & Table Management: Create and maintain tables, fields, and relationships within D365. Workflow Automation: Design flows and business rules using Power Automate and D365 tools. Testing & QA: Ensure all ...

... and maintain high-throughput, low latency systems that process 100s of millions of events per day to enable detection to identify notable events. - Establish data pipelines that ensure our data is updated regularly and reliably - Enhance our frameworks to allow us to make changes to our APIs and datasets in an agile manner ...

... & Cloud Data Platforms • Data Architecture & Modelling • Collaboration & Best Practices • Quality & Governance Business Relationships • Solution Architects • Data Engineers, Developers, and Analysts • Client stakeholders up to Head of Data Engineering, Data Architect, and BI leadership levels Competencies / Critical Skills ...

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... customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business. The Data Scientist will work ...

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Amazon Web ...

... these questions is yes, then joining the Amazon India team as a trainee is the opportunity you have been waiting for! We're hiring Industrial Trainees (Finance Analyst Interns) across multiple teams in the Amazon India organization. The selected candidate(s) will get an opportunity to work closely with business and finance ...

... Knowledge of time series analysis and forecasting Tools & Platforms: Python libraries: Scikit-learn, TensorFlow / PyTorch (preferred) Data visualization: Power BI, Tableau, Matplotlib, Seaborn Big data exposure: Spark / PySpark (good to have) Version control: Git / GitHub Cloud exposure: AWS, Azure, or GCP Data platforms: Snowflake ...