16 Oct
Business Analyst (Data Warehouse // Data Modeling)
Vacancy expired!
- Perform business analysis to support the project managers in defining project scope and objectives as well as eliciting information and documenting functional requirements from product owners and business sponsors through oral and written communication.
- Understand data standardization and data governance methodologies and develop strategy towards successful implementation of these methodologies.
- Develop strategies for full-lifecycle data usage, including data acquisition, legacy data migration, warehouse implementation, and archive recovery.
- Ensure that designed systems provide enough controlled avenues for access to and update of the database.
- Ensure the currency, accuracy, and integrity of the data.
- Assist in cleaning and maintaining database by removing and deleting old data.
- Evaluate new data sources for adherence to the organization's quality standards and ease of integration.
- Support the development of Legacy to Target data mapping (for Extract, Transform, Load/ETL processes.)
- A BA/BS Degree in Computer Science or related discipline (or an equivalent combination of education and experience)
- Minimum of five (5) years in business analysis experience and at least three (3) years in data analysis including data modeling (conceptual, logical, and physical) data analysis, data migration, database tuning, and database administration.
- Client Interaction: Facilitating meetings with subject matter experts from various levels of the business to organize work and priorities. Discuss data standardization and data governance methodologies and help guide the client towards successful implementation of these methodologies.
- Business analysis: Creating required business process deliverable documents. Examples of documents include concept of operations, business case, business requirement specifications (BSR), workflow diagrams, context diagrams, use cases, user stories, and alternatives analysis documentation.
- Data analysis: Understanding and interpreting facilities, infrastructure, and planning data to include comparatives, gaps, needs, values, limits, applications, matrices, processes, models, impacts, issues, manipulation, organizational, performance, conformity, and recommendations. Includes fusing data from several sources to conduct analysis and provide reports, tables, graphs, and charts.
- Data modeling: Creation of conceptual, logical, and physical data models and defining data interfaces between systems.
- Data migration: Planning and executing data migration efforts. Define plans for data that needs to be brought forward from legacy system and that does not meet new data standards (bad data planning). Preparing data, documents, and files for entry and upload within established standards.
- Strong technical writing skills, with the ability to concisely describe data requirements and functional requirements. Documentation is a primary deliverable for this position.
- Business Process analysis skills
- Possess a solid understanding of Agile development methodologies.
- Experience with working with Geospatial Data.
- Data mining: Mining enterprise systems and applications for data and information in support of infrastructure investment strategy and planning. Extensive knowledge of querying databases using structured query language (SQL) is required.
- Data collection: Includes identifying, compiling, arranging, sorting, organizing, incorporating, reviewing, and determining applicability from various sources.
- Prior government work experience (as a federal employee or a government contractor) a plus.
- Experience working with a wide range of personnel, including business sponsors, product owners, project managers, development teams, and end users at all levels of the organization.
- Familiarity with formalized requirements management concepts (including requirements traceability) such as those defined by PMI and IIBA.
Vacancy expired!