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Job Alert: Bechtel: DEP Data Quality Analyst

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Requisition ID:  221923

Work Location: Reston, VA

Data Quality Analyst

Bechtel is seeking a Data Quality Analyst to support our Digital Transformation at our Reston, Virginia Headquarters.

Key for your success in this role is your proven experience in Data Quality (DQ), a champion across all data management activities. Technically, you will be sound with experience in Data Visualization (DV), Data Modeling (DM), Data Integration and Interoperability (DI&I), Data Governance (DG), Reference Data Management (RDM), and ontology practices.

The position offers ample opportunity to “make a difference” and to be an active part of the decision-making process that leads to improvements and positive changes across the DEP implementation.

This role will lead and manage our data quality platform (Oracle EDQ), including tool configuration and operating processes, the collection, organization, and promotion of accurate and consistent data (master data, reference data, metadata) throughout the enterprise, and associated integration, operation and health of the underlying systems.

Essential Duties:

  • Deliver and manage, on behalf of the MDM & DG Leads, our future state DQ platform and operation.
  • Participate, with other MDM and DG members in the development of setup and initial operation of MDM and DG platform systems.
  • Provide data quality advisory services to the organization
  • Measure data quality. Design, collect, analyze, and report on data quality assurance and performance metrics.
  • Share data quality inspection results to build awareness and identify opportunities for improvement
  • Participates in system testing and user acceptance testing activities
  • Evangelize the role of DQ and Ontologies

Basic Qualifications 1:

  • Bachelor’s degree or equivalent EPC work experience
  • 5+ years of technical data experience, including combinations of: data quality, data stewardship, data modeling, data warehouse, process improvement applied to data quality, data lineage, ontology, and taxonomy
  • 3+ years working knowledge of writing clear and concise technical and user documentation, including combinations of: data quality policies, project charters, use cases, user stories, test cases, standard operating procedures, and training materials
  • 3+ years of experience with Enterprise DQ tools like Oracle EDQ, Informatica IDQ, Microsoft DQS, IBM Infosphere, etc.
  • 2+ years of experience in multidisciplinary teams to normalize data and develop company-wide polices around data quality, classifications, and controlled vocabularies in large organizations
  • 1+ years Demonstrated ability to work in an Agile fashion and delivering in a rapidly changing environment
  • 1+ Experience implementing data quality in relational and nonrelational database systems (Neo4j, GraphDB, Azure Cosmos DB)
  • 1+ Experience in nonrelational and relational query languages

Basic Qualifications 2:

  • Bachelor’s degree or equivalent EPC work experience
  • 7+ years of technical data experience, including combinations of: data quality, data stewardship, data modeling, data warehouse, process improvement applied to data quality, data lineage, ontology, and taxonomy
  • 5+ years working knowledge of writing clear and concise technical and user documentation, including combinations of: data quality policies, project charters, use cases, user stories, test cases, standard operating procedures, and training materials
  • 5+ years of experience with Enterprise DQ tools like Oracle EDQ, Informatica IDQ, Microsoft DQS, IBM Infosphere, etc.
  • 3+ years of experience in leading projects, planning, coordinating and monitoring project activities
  • 3+ years of experience in multidisciplinary teams to normalize data and develop company-wide polices around data quality, classifications, and controlled vocabularies in large organizations
  • 3+ years Demonstrated ability to work in an Agile fashion and delivering in a rapidly changing environment
  • 2+ Experience implementing data quality in relational and nonrelational database systems (Neo4j, GraphDB, Azure Cosmos DB)
  • 3+ Experience in nonrelational and relational query languages

Preferred Requirements:

  • Understanding of semantic standards (RDFS, OWL, SKOS)
  • Recognized data quality certification, e.g. IQCP, CIMP, ISO 8000
  • Relevant professional affiliations such as IQCP, CIMP, DAMA are preferred
  • Experience demonstrating and understanding of PII, CCPA, GDPR, Data Security and other data compliance frameworks
  • Experience with visualization and reporting tools such as Power BI, Qlik, Tableau, etc.
  • Experience in using ontologies to support data integration
  • Knowledge of Design Thinking

Shaping tomorrow together

Bechtel is one of the most respected global engineering, construction, and project management companies. Together with our customers, we deliver landmark projects that foster long-term progress and economic growth. Since 1898, we’ve completed more than 25,000 extraordinary projects across 160 countries on all seven continents. We operate through four global businesses: Infrastructure; Nuclear, Security & Environmental; Oil, Gas & Chemicals; and Mining & Metals. Our company and our culture are built on more than a century of leadership and a relentless adherence to our values, the core of which are safety, quality, ethics, and integrity. These values are what we believe, what we expect, what we deliver, and what we live.
www.bechtel.com

Bechtel is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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