Leveraging data and analytics to provide strategic insights and drive informed decision-making for clients
Developing and implementing innovative solutions to optimize business performance and enhance competitive advantage (solution optimization and roadmap development)
Utilizing advanced analytics techniques to support client operations and strategic goals (AWS data engineering and Redshift)
Building and maintaining data pipelines and architectures to support business intelligence efforts (DataStage, ETL)
Implementing data visualization tools to provide actionable insights and improve client outcomes (SQL Server, DB2)
Collaborating with stakeholders to identify and address data challenges and opportunities (Managed services, and SLAs)
Coaching and motivating teams to solve complex problems and deliver quality results
Applying systems thinking to identify underlying problems and opportunities within client projects (workload orchestration and scheduling)
Validating outcomes with clients and acting on feedback to refine solutions (CSAT and performance tuning)
Directing teams through ambiguous and challenging situations with composure and sound judgment
Requirements
At least a Bachelor's degree
At least 6 years of experience
Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering
Demonstrating advanced skills in data architecture development and data pipeline management
Utilizing Python and Java for complex data analysis and visualization
Excelling in business intelligence tools like QlikView and Oracle BI
Leading strategic questioning and stakeholder engagement initiatives
Applying systems thinking to identify and address underlying problems
Directing teams through complex and ambiguous situations