Analyze business and system processes and recommend changes to policies and procedures, troubleshoot business problems, and recommend solutions, assess the impact on reporting processes, and develop process flows.

More Uses of the Redshift Toolkit:

  • Set up, configure, maintain and enhance proper infrastructure to support a large scale data analytics environment.
  • Ensure you suggest; lead the efforts in building end to end streaming and batch data analytics pipelines, from data ingestion, processing, storage and analysis.
  • Establish: act as technical liaison between customers and the service engineering teams, providing product improvement feedback to AWS developers and accelerating the adoption of new features in customer deployments.
  • Take primary ownership for written requirements specifications (Business and Functional), from initial creation, through change management and solution delivery.
  • Use creative problem solving to automate the collection and analysis from available data sources in order to deliver actionable output.
  • Collaborate in team processes and procedures to ensure timely, high quality delivery, and highly available systems.
  • Improve your organizations analysis, segmentation and predictive modeling capabilities to drive increased performance and efficiency of sales and service operations.
  • Modify and improve data engineering processes to handle ever larger, more complex, and more types of data sources and pipelines.
  • Be the go to technology resource for ensuring key high profile joint sales opportunities are sourced, developed and closed.
  • Support tasks as data validation, performance tuning and facilitate end user testing on designed reports, dashboards and statistical models.
  • Initiate: work closely with product management, sales, and business stakeholders to analyze data from a multitude of sources about customers migrations and how you can accelerate migrations.
  • Drive and oversee workload analysis, performance benchmarking and troubleshooting efforts with customers in environments.
  • Ensure you inspire your people to continue to transform how the industry thinks about analytics, changing what can be done with Machine Learning, Big Data, Media, etc.
  • Prepare development estimates, create specifications, testing, and user documentation in collaboration with your team members.
  • Be accountable for partnering with customer account teams, Business Development Managers and Analytics Service teams to accelerate customer adoption and revenue attainment.
  • Manage knowledge to map reporting output back to source systems, with the aim of achieving alignment between business needs, system design, and optimal process flows.
  • Confirm your group interacts with clients, vendors, and internal team members to ensure timely delivery and processing of data feeds, successful job execution, and issue escalation.
  • Manage: customer centric orientation as evidenced by the quality and efficacy of products, services, and support delivered.
  • Evaluate current BI infrastructure and identify areas where technology could be enhanced, added or replaced to create efficiencies.
  • Be accountable for interfacing with business customers, gathering requirements and developing new datasets in your Redshift environment.
  • Initiate: for customers large and small, migrating to AWS can have an enormously positive impact on costs, agility, and employee growth.
  • Be accountable for acting as technical liaison between customers and the service engineering teams, providing product improvement feedback to AWS developers and accelerating the adoption of new features in customer deployments.
  • Translate data into insights that help stakeholders understand customer needs, behavioral drivers and content performance in a concise and effective manner.
  • Create report and dashboards by pulling and aggregating e commerce data to deliver stream of reporting and analytics that support e commerce objectives.
  • Consult with external partners and customers to provide advice and guidance on how data tools and technologies can improve operations and strategy.
  • Be accountable for migrating to AWS is one of the most impactful business decisions AWS customers make and you want your help to better understand your customers migration journeys.
  • Direct: customer records, transaction records, web activity records as it relates to stated requirements and solution design.
  • Develop: in combination with other AWS services, core dw tools allow customers to extract the maximum business value from operational and transactional data.
  • Recognize and adopt best practices in reporting, analysis, data integrity, data security, test design, validation, and documentation.
  • Provide end user training and education programs to on board and support power users for Business Intelligence tools.

 

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