Problem Formulation: Identifies possible options to address the business problems within one's discipline through analytics, big data analytics, and automation.
Applied Business Acumen: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned
by others. Supports process updates and changes. Solves business issues.
Data Governance: Supports the documentation of data governance processes. Supports the implementation of data governance practices.
Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.
Data Transformation and Integration: Extracts data from identified databases. Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current data science and analytics trends.
Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.
Data Modeling: Analyzes complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models. Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs.
Defines relational tables, primary and foreign keys, and stored procedures to create a data model structure. Evaluates existing data models and physical databases for
variances and discrepancies. Develops efficient data flows. Analyzes data-related system integration challenges and proposes appropriate solutions.
Creates training documentation and trains end-users on data modeling. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports. Code Development and Testing: Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical, and data requirements. Creates test cases to review and validate the proposed solution design.
Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates.
Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.Option 1: Bachelor’s degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years’ experience in
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Data engineering, database engineering, business intelligence, or business analytics, Master’s degree in Computer Science or related field and 2 years' experience in software engineering or related field.