Analytics Manager Jobs in Kākināda
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Search Results - Analytics Manager Jobs in Kākināda
SutherlandKākināda
Job Title - HR Analytics
Department HR Analytics
Employment Type Full-Time
Location: Chennai (WFH)
Shift: 6.30 pm to 3.30 am
Department: HR Analytics
Role Summary
We are seeking an experienced Senior HR Data Analyst to join our HR Analytics...
Insight GlobalKākināda
Technology Platform (BTP) administration and the migration of legacy SAP Process Orchestration (PO) workloads to SAP BTP Integration Suite. It also includes performance tuning and Data Volume Management (DVM) across SAP S/4HANA, BW/4HANA, and related systems...
DataLunixKākināda
solutions across sales planning, territory management, quota planning, incentive compensation, and performance analytics. The role involves translating business requirements into configurations, data models, and business rules, along with supporting data...
Sadbhav Futuretech LimitedKākināda
technologies: HTML5, CSS3, JavaScript, and foundational PHP.
• Basic familiarity with SEO best practices, schema markup, and tracking integrations (Google Analytics 4, Meta Pixel, Google Tag Manager).
• Strong problem-solving skills, keen eye for design...
MythicsKākināda
Financial Management
• Portfolio Planning
• Workflow Configuration
• Dashboard Development
• Reporting and Analytics
• Strong SQL, PL/SQL, Stored Procedures, Functions, Views, M-Views, and Data Extract development experience.
• Experience with system...
EmeritusKākināda
Experience with construction documentation, specifications, schedules, estimates, contracts, progress reports.
• Experience with construction platforms and technologies such as project management information systems.
• Experience implementing AI analytics...
Applied Data FinanceKākināda
Role Summary
Data Scientist supporting fraud strategy development, fraud analytics, and operational monitoring across a consumer lending portfolio. Working under the fraud strategy lead and alongside senior team members, you will analyze fraud...
Data EminenceKākināda
accurate information about products, services, processes, and policies
• Understanding customer concerns and identifying appropriate solutions
• Troubleshooting basic product, account, and service-related issues
• Creating, updating, and managing customer...
VamstarKākināda
methods and machine learning
• Knowledge of data management and business intelligence methodologies
• The ability to work to project deadlines efficiently
• Ability to lead project deliverables and manage direct client communications
• Collaborate closely...
NexumSquareKākināda
Company
We are building a modern Real Estate Investment Ecosystem that brings together technology, real estate brokerage, investment opportunities, and professional property management under one connected platform.
Real estate investing is often...
LuxoftKākināda
and analytics-ready datasets leveraging Snowflake, Azure Data Factory (ADF), DBT, Python, and SQL. The ideal candidate will play a key role in enabling data-driven decision making by delivering high-quality, governed, and performant data solutions...
KagoolKākināda
and Microsoft Azure. The candidate should have practical experience implementing and managing Kafka-based streaming solutions on Azure and working with real-time data processing pipelines.
Azure experience is mandatory for this role.
Key Responsibilities
• Design...
Aspire, JordanKākināda
reporting clarity and data understanding.
• Ensure analytical outputs are accurate, well-documented, and aligned with business objectives.
Requirements
Must-Have Skills
• 3+ years of experience in Data Analysis, Business Intelligence, Analytics...
hotsourcedKākināda
The platform works across endpoint protection, email security, vulnerability management, browser security, device management, identity, cloud security, and data loss prevention technologies.
With a strong focus on practical engineering and technical depth...
AlgoworksKākināda
Support data validation and reconciliation with Gold-layer outputs.
• Collaborate with downstream teams to understand data requirements and optimize delivery.
• Ensure consistency and reliability of data consumed by reporting and analytics platforms.
5. ..
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