... record of accomplishment of successful project completion. - Strong and proven ability to use computer and office software applications. - Experience with analytics environment and Informatica technology solutions (Cloud, MDM, Big Data, DQ, DI, Data Security). - Ability to explore, examine, and understand complex enterprise ...
... Experience interacting with Business Users to understand functional requirements and convert them to technical user stories- Must have experience and expertise in :1. Data modeling2. Data Integration- Should have experience of conducting User Acceptance Test, and preparing deliverables such as design documents, test documentation, ...
... CRM, and products - Turn ambiguous data problems into fully-specced, buildable projects - Prioritize ruthlessly across a large backlog: which verticals, which data sources, which quality fixes come first, and why - Own the data quality feedback loop — define how we catch bad data before customers see it, and drive the process ...
Job Title : Senior Data Engineer Experience: 6+ Years Contract: 6 Months Immediate Joiners We are seeking a hands-on Data Engineer to develop, optimize, and maintain automated data pipelines supporting data governance and analytics initiatives. This role will focus on building production-ready workflows for ingestion, transformation, ...
... internet, fintech, or subscription businesses. Experience in retention, lifecycle marketing, CRM, or customer analytics roles preferred. Strong analytical and data interpretation capabilities. Stakeholder management and cross-functional leadership. MBA from a reputed institute preferred. Customer-obsessed and data-driven.
... between cross-functional teams, advocating for data-driven decisions. 8–15 years of total professional experience, preferably in Tech, Consulting, or high-scale Analytics organizations. - 4+ years of people management experience, leading data science, analytics, or operational analytics teams in system-heavy environments. - ...
We are looking for a skilled Digital Analytics Engineer with hands-on experience in Adobe Analytics and Tealium iQ / Tealium AudienceStream. The candidate will be responsible for implementing, managing, and optimizing web analytics and tag management solutions to support data-driven https://jobeax.com/link/eE8GidNBDnRURIg5 ...
Project Role : Infrastructure Engineer Project Role Description : Assist in defining requirements, designing and building data center technology components and testing efforts. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Security Services Minimum 7.5 Year(s) Of Experience Is ...
... enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports. Investigation and analysis of data issues related to quality, ...
... Monitor pipeline health, debug data discrepancies in logs, and implement automated data-quality checks. - Build and maintain REST API-based applications to serve analytics and performance metrics to both internal trading systems and external client interfaces. - Partner with Senior Quants and Product Managers to translate complex ...
... business objectives. Create and manage the digital marketing calendar. Monitor campaign performance and generate actionable insights through dashboards and analytics. Collaborate with agencies and stakeholders on digital strategy, budgets, and execution plans. Lead Generation & Performance Marketing Drive B2B lead generation ...
... backpressure, multi-region concerns, and long-running reconciliation under real production conditions. - Cloud Native: Deep experience with container orchestration, SQL datastores (MySQL/Postgres), and Infrastructure as Code; experience designing systems across multiple regions and availability zones. - Communication & Influence: ...
... and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience as a product manager or owner - Experience owning technology products Experience in influencing senior leadership through data driven insights - Experience working across functional ...
... Cloud services, and report development skills. - Hands-on experience with Azure cloud services including Azure Data Factory, Azure SQL, Azure Blob Storage, Azure Dataflow, Logic Apps, Azure Synapse Analytics, Function Apps, and Key Vaults for building and orchestrating data pipelines, serverless integrations, and secure secrets ...
... Simulation Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are seeking a Data Center Simulation Consultant to design, simulate, and optimize power, cooling, and performance systems using ETAP, 6SigmaDCX, and NVIDIA simulation platforms ...
... functions. Operational Audits & Assessments - Conduct periodic audits of factory operations, primarily across Supply Chain, Engineering, and Quality domains. - Data Analysis & Reporting - Validate operational performance against defined SOPs and benchmarks. - Score factories and warehouses based on compliance and performance ...
... ownership of data pipelines, KPI definitions, and customer-facing analytics. Demonstrated success in migrating analytics systems from legacy BI tools (e.g., GoodData, Tableau, Looker, Power BI) to modern or open-source analytics stacks, while ensuring metric parity and data correctness. Ability to drive analytics initiatives ...
... implementing AI-enabled solutions and BI tools to automate reporting, forecasting, and financial analysis processes Maintain automation mindset to streamline data sources and data lakes to drive Process optimization initiatives to create efficiency Contribute team playing, creative thinking and solutions that help achieve ...
... data validation, issue resolution, system setup, and compliance with SOX controls , while partnering cross-functionally with distributors, Sales, DMO, and Analytics teams. Identify and resolve data issues including: Data-related discrepancies Coordinate with distributors to correct missing or incorrect data. Ensure data ...