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10 year(s) of experience in data and analytics management with at least 8 years of experience of leading various data and analytics program/initiatives of large sizes with 3 years experience managing and delivering Managed Data and Analytics programs (Managed services and Managed assets.
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We help our clients maximize the value of their investment focusing on continuous improvement of their analytics solutions such as Microsoft, Amazon Web Services and Google Cloud.
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Lead the design and delivery of Data processing activities like Data Ingestion, Data processing (ETL and ELT), Data cleansing, profiling, and wrangling, Data Governance (Data Quality, Lineage and Data security), Master Data management, BI reporting, and Analytics.
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Demonstrate experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Our Managed Data, Analytics & Insights team will provide you with the opportunity to help organizations harness the power of their enterprise data/analytics solutions by optimizing the technology while driving innovation to increase business outcomes and through data insights.
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Lead the development of intellectual property related to Data Analytics, Machine Learning and Insights and delivery market leading point of views at industry events. The Data & Analytics managers primary responsibility is to manage and lead projects/activities related to building the modern data ecosystem while working with IT and business to convert insights into strategic opportunities.
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Perform as a team leader by creating a positive environment, build proven team members based on coaching and mentoring, shaping next generation of Data analytics leaders; Lead and drive estimations and sizing effort related to Data analytics work, plan and build teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution.
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Lead multiple Data & Analytics projects to build, develop and maintain data & analytics ecosystem, dashboarding & reporting systems, that support key business decisions; Work with and create Data warehouses and dashboards using industry leading data and analytics tools and technologies.
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Work with various team leads including Business teams and Efficiently Manage risks and issues related delivery of Data and Analytics assets; This individual will lead and manage a team of Data architects, Data technology engineers, Data scientists and Reporting and BI experts to drive business outcomes through analytics interventions.
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Identify new opportunities for growth in the Data & Analytics area and drive them to closure with respective stakeholders (internal as well as external); Understand the Data strategy for an organization and help realize Roadmap to take the organization to the next level of Data ecosystem maturity.
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Interacting with data quality systems and processes, data management and data operations workflows and processes; Leading the development of intellectual property related to Data Analytics, Machine Learning and Insights and delivery market leading point of views at industry events.
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Leading the sales and business development effort for Data Analytics, Machine Learning and Insights opportunities, supporting practice leaders in business development; Performing as a team leader by creating a positive environment, build proven team members based on coaching and mentoring, shaping next generation of Data analytics leaders.
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Leading and driving the sizing effort related to Data analytics work, plan and build teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Building a managed services organization with a passion for building new service offerings and identifying whitefield opportunities in the Datas analytics and Technologies space.
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Acting as a leader on next generation Data analytics architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Providing oversight and guidance by utilizing your extensive experience with the implementation of Data Integration tools, such as SnapLogic, Mulesoft, Databricks, AWS Kinesis & Glue, Azure Data Factory, Informatica Cloud, SQL, Python/PySpark, Jupyter Notebooks and similar technologies.
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Applying leading design and implementation practices related to end-to-end data lifecycle for one or more of the following: enterprise cloud data hubs/exchanges, middleware systems, data conversion/migration for business applications (e.g. CRM, ERP), edge applications (e.g. mobile devices.
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Leading cloud scale development effort for Data Integration technology-enabled solutions that address the needs of large organizations, including how to streamline design, automation, and orchestration of enterprise data that support large business transformation and processes.
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data management continuous improvement jobs Title: analytics managed services in Holdrege, Nebraska
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