... customization trade-offs. - Familiarity with data migration, reporting/analytics, or integration patterns such as REST APIs and middleware. - Experience with complex data models, large-scale implementations, or multi-system landscapes. - Background in contact center operations, customer service, or support technology platforms. ...
... customization trade-offs. - Familiarity with data migration, reporting/analytics, or integration patterns such as REST APIs and middleware. - Experience with complex data models, large-scale implementations, or multi-system landscapes. - Background in contact center operations, customer service, or support technology platforms. ...
... (SARs) and sharing intelligence to combat financial crime. The FIU Data Analyst will directly support the Compliance Technology team to govern the tech stack and data science needs. This role ensures adherence to regulatory requirements and internal policies by directly supporting the FIU’s data science, analytics, and reporting ...
... customization trade-offs. - Familiarity with data migration, reporting/analytics, or integration patterns such as REST APIs and middleware. - Experience with complex data models, large-scale implementations, or multi-system landscapes. - Background in contact center operations, customer service, or support technology platforms. ...
... customization trade-offs. - Familiarity with data migration, reporting/analytics, or integration patterns such as REST APIs and middleware. - Experience with complex data models, large-scale implementations, or multi-system landscapes. - Background in contact center operations, customer service, or support technology platforms. ...
... customization trade-offs. - Familiarity with data migration, reporting/analytics, or integration patterns such as REST APIs and middleware. - Experience with complex data models, large-scale implementations, or multi-system landscapes. - Background in contact center operations, customer service, or support technology platforms. ...
Who we’re looking for Fieldwire is looking for a Data Intelligence Manager to join our Data & Operations team based in Pune, India. You will be the operational owner of reporting and analytics for a core business function (G&A, R&D, or GTM), turning raw data into accurate, timely, and trusted intelligence that drive decisions ...
... platform stability. Collaboration - Work closely with Data Analysts, Architects, Business Teams, and Vendors. Overall years of experience 8+ years of experience in Data Engineering and Enterprise Data Platforms. Relevant years of experience 5+ years of hands-on experience with SQL, Hadoop/Cloudera, Azure Data Platform, Databricks, ...
... cross-functional teams to transform complex data into meaningful reports and recommendations. The Data Analyst will be responsible for collecting, cleaning, and analyzing data from multiple sources to identify trends and opportunities. Responsibilities Collect, clean, and analyze data from multiple sources to identify trends and opportunities. ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... governance, auditability, and access controls Experience with Infrastructure as Code (Terraform, CloudFormation, or CDK) Exposure to CI/CD pipelines and production operations in enterprise environments About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are ...
... factual accuracy, or comparing responses — when projects are available. While each project involves unique tasks, contributors may: - Carefully review provided data (text, images, or videos); - Label or classify content based on project guidelines; - Identify and flag factually incorrect, sensitive, inappropriate, or unclear ...
... Strong exposure to data science, machine learning, application security, threat analysis, and modern security technologies. Collaborative environment involving data scientists, security specialists, operations teams, professional services, and customer-facing groups. Opportunity for continued technical growth and career development ...
... With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
... With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.
... robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers. Apply schema evolution and data versioning to support agile data development. Platform Integration & Data Ingestion: Connect and ingest data from enterprise ...
... segment and geography. Translate complex analyses into clear, compelling recommendations for both technical and non-technical stakeholders. Support legal/operations teams with data insights to improve claim validation and approval rates. Evaluate new product opportunities and validate with data on customer demand. Look ...
... validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Educational ...
... validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery. - Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes. Educational ...