19,028 back office data entry jobs in India.

... Assist with financial and administrative activities, including scope-change documentation, invoice reconciliation follow-up, and forecasting reports. - Monitor data flows and internal workflows, identifying outstanding items and escalating issues when appropriate. - Communicate professionally with sponsors, clients, clinical ...

... improvement, standardization, and procurement efficiency. • Maintain confidentiality of commercial information, supplier pricing, contracts, and business-sensitive data. Contributing Your Strengths: Your Qualifications Qualification and Education Requirements: • B.E./Diploma (Mechanical/production/Electrical), MBA – Supply Chain ...

Are you looking to join a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is an award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work® Certified organization, recognized for our exceptional culture ...

... Develop and manage data models including star schemas, fact and dimension tables, relationships, KPIs, and business logic. - Write and optimize SQL queries for data extraction, validation, and reporting purposes. - Connect and integrate Power BI reports with enterprise databases, data warehouses, and other supported data ...

... Develop, tune and optimize complex Cypher queries. Use Neo4j Graph Data Science algorithms to support applications such as GraphRAG and recommendation systems.- Data Integration : Build end-to-end pipelines that integrate Neo4j with vector databases, relational databases, APIs and other enterprise data sources.- Data Governance ...

... improvements to enhance data accuracy and operational efficiency. - Participate in SAM governance and process development efforts. This role has been categorized as an Office position. “Office” employees regularly work at the Zillow India office for approximately 80 to 100 percent of their time each month. Employees must live within ...

... Graphs using graph databases and semantic technologies.- Integrate Knowledge Graphs with AI/ML, Generative AI, LLMs, RAG, and intelligent applications.- Build data pipelines for ingestion, transformation, enrichment, entity resolution, and integration of structured and unstructured data.- Design APIs, data services, and ...

... a culture of excellence among your team members while managing daily tasks efficiently. Key Responsibilities: - Team Leadership: Supervise, train, and coach back office staff to achieve optimal performance. - Operational Oversight: Manage and streamline back office processes, including mailroom and data entry tasks. - ...

... Ontology Object Types, Properties, and Relationships / Links.- Actions, Functions, and Interfaces.- Mapping datasets and data models into Ontology.- Building object-backed applications and business workflows.- Designing Ontology around real-world business concepts rather than simply exposing database tables.- Using Ontology as ...

... robust data governance frameworks using Microsoft Purview and ensure compliance with security standards via Microsoft Sentinel. - Develop and maintain complex data pipelines and transformations using Databricks, Synapse, and Azure Data Factory. - Design and deliver high-impact business intelligence reports and dashboards ...

... cross-functional initiatives and ensure timely delivery of committed outcomes. - Own end-to-end data migration activities , including data assessment, mapping, cleansing, data building, validation, reconciliation, and migration to target systems. - Coordinate with business and technology teams to ensure data readiness for new products, ...

... and customer-data connectors where required. - Apply Microsoft Fabric, Power BI, data transformation, and integration capabilities to support scalable customer-data solutions. - Produce clear configuration and solution-design documentation covering data models, integrations, business rules, and technical decisions. - Conduct ...

Key Responsibilities: ● Design, develop, and execute data validation for large-scale data pipelines ● Collaborate with data teams to understand data flow and transformations ● Schema validation (types, nullability, constraints) ● Anomaly/outlier detection (statistical thresholds, freshness checks) ● Regression testing on ...

... brokers, shipping lines, airlines, and transporters. - Prepare and verify import/export documentation including invoices, packing lists, shipping bills, bills of entry, certificates of origin, and other required documents. - Coordinate customs clearance and ensure compliance with applicable import/export regulations. - Track ...

... Experience: * 1–5 years of experience in industrial, automotive, aerospace, or precision-component spray painting; trained fresh candidates may be considered for entry-level positions. Technical Skills - Basic knowledge of surface preparation, masking, paint mixing, spray application, drying, curing, and touch-up methods. - ...

... partnership lifecycle from prospecting through onboarding and ongoing performance. Drive international market expansion Identify attractive markets and develop market-entry strategies. Understand local customer needs, competitive dynamics, channel structures and business practices. Develop region-specific go-to-market approaches ...

... Marketing Analyst II in Bangalore to build and maintain data infrastructure supporting marketing analytics. The role focuses on designing data pipelines, optimizing databases, and delivering insights that drive business growth through advanced analytics and reporting. Responsibilities - Design and implement scalable data pipelines ...

... analytics solutions, curating commercial data and applying data engineering and AI techniques - Guide team capability evolution toward AI engineering and modern data engineering with infrastructure standardization and mentorship Requirements - 15–20 years in data analytics, data science, or business intelligence - 8+ years ...

... architecture, or cloud solutions - Strong background in Microsoft Azure–based data and analytics architectures - Proven experience architecting enterprise-scale AI & Data platforms - Proven experience defining and implementing enterprise Data Products and domain-driven data architectures in large-scale data transformation programs ...

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