Technical Analyst IV - Enterprise Customer Program

How You'll Spend Your Time

•    You will build processes that master data from many sources across the organization for the Enterprise Customer platform.
•    You will work with a team to design and implement a process that continuously processes party data to  Enterprise Customer.  This will allow the Enterprise Customer platform to move away from  batch processing.
•    You will use Profisee’s API in custom applications, scripts, or middleware to automate data management tasks, integrate Profisee with other systems, and enable real-time data synchronization.
•    You will take business needs and translate them to requirements.   From those requirements inject and implement creative designs that meet those requirements.
•    You will be involved in mastering of other domains such as party interactions and transactions.
•    You will investigate new applications to aid in design / development to tackle specific use cases.   This will include prototyping solutions to solve domain specific problems and evolving / evaluating applications for future use. 
•    You will collaborate with technology partners to architect, design, and build data and analytics solutions that empower business success. 
•    Your deliverables could be data flows, architecture diagrams, data model, data integration, data controls, transformations, and more! 
•    The Enterprise Data Solutions team is cross-functional, so building and growing expertise is a continuous "responsibility" for this position.
•    You will work directly with all team members to facilitate conversations, confirm understanding, test code, and provide fast feedback.
•    You will work with core system subject matter experts to deeply understand data models and define transformation logic.
•    You will use your analytical, deductive reasoning skills, and experience to determine root cause of defects in ETL code and develop solutions.
•    You will have advanced technical understanding of single application data flows across multiple applications, software and system integrations, RDBMS principles, and tiered environments
•    You will develop, design, and support processes that maintain and mitigate risk-related activity across the organization.













 

Education & Experience Requirements

Bachelor’s Degree in a data-centric field (Computer Science, Economics, Information Systems, Data Analytics, etc.) and minimum 8-10 Years’ experience with demonstrated track record of successful technical leadership in the execution of large-scale data projects.
•    Proven Experience designing, developing, and implementing software using object-oriented programming languages and frameworks e.g., Microsoft .NET, ASP .NET, C#, Java, Python, and others
•    TSQL programming and strong understanding of RDBMS principles
•    Proven experience in MDM development, preferably with Profisee or similar MDM platforms. 
•    Strong development experience in SQL Server Integration Services.
•    Strong understanding of ETL methodologies and data integration design patterns (API, streaming, enterprise job schedulers, batch)
•    Strong understanding of BOKF business information systems and strong Enterprise Data Warehouse concepts
•    Strong hands-on experience designing, developing and testing business intelligence & analytics solutions using proven or emerging technologies in a variety of technologies and environments,
•    Well-developed oral and written communication skills to effectively represent self and BOKF, as well as ability to present complex information and issues in a clear and concise manner
•    Well-developed conceptual thinking and analytical skills with the ability to analyze complex problems that include interrelationships and dependencies in order to identify common themes and solutions,
•    Strong sense of accountability, taking ownership over projects and responsibilities, and resolving issues proactively
•    Experience with projects managed in both agile and waterfall strategies,
•    Experience working, developing, and deploying in tiered environments (e.g. development, testing, UAT, production, DR)
•    Experience supporting, maintaining, and developing data pipelines for master data management applications













 

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